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Exam Code: C9020-662 Practice exam 2022 by Killexams.com team
C9020-662 IBM Virtualized Storage V1

Exam Title : IBM Certified Specialist - Virtualized Storage V1
Exam ID : C9020-662
Exam Duration : 90 mins
Questions in exam : 60
Passing Score : 36 / 60
Official Training : IBM PartnerWorld University
Exam Center : Pearson VUE
Real Questions : IBM Virtualized Storage Real Questions
VCE practice exam : IBM C9020-662 Certification VCE Practice Test

Basic Implementation
- Given a scenario, perform basic configuration tasks associated with IBM Storwize or FlashSystem V9000.
- Given a scenario, gather basic installation requirements.
- Demonstrate knowledge of integration with other storage hardware and software products.
- Demonstrate knowledge of pre-sales and post-sales tools and resources. 20%
General Overview
- Differentiate among IBM's virtualized products including Storwize and FlashSystem V9000.
- Given a scenario, describe the benefits of a virtualized storage infrastructure that influences the decision-making process.
- Given a scenario, describe the benefits of the different hardware architectures within IBM's virtualized portfolio including IBM Storwize and FlashSystem V9000.
- Explain how IBM Spectrum Control enhances IBM's virtualized products including Storwize and FlashSystem V9000.
- Explain how IBM Spectrum Protect enhances IBMs virtualized products including Storwize and FlashSystem V9000 solutions. 25%
Solution Design
- Given a scenario, create an IBM Storwize or FlashSystem V9000 system layout to meet customer requirements.
- Given a scenario, evaluate drive types and RAID configurations to meet customer and solution requirements.
- Given a scenario, identify networking protocols required to meet customer requirements.
- Given a scenario, describe advanced usage of IBM Spectrum Control with IBM Storwize or FlashSystem V9000.
- Demonstrate knowledge of pre-sales tools and resources. 28%
System and Advanced Functions Knowledge
- Identify ways the IBM Storwize family and FlashSystem V9000 enable security.
- Given a scenario, describe IBM Storwize family and FlashSystem V9000 advanced functions.
- Given a scenario, explain components and functions included in a standard software license and what is optional and/or chargeable.
- Given a scenario, compare and contrast the difference between converged and non-converged systems.
- Given a scenario, describe advanced usage of IBM Spectrum Control with IBM Storwize products and FlashSystem V9000. 27%

IBM Virtualized Storage V1
IBM Virtualized information source
Killexams : IBM Virtualized information source - BingNews https://killexams.com/pass4sure/exam-detail/C9020-662 Search results Killexams : IBM Virtualized information source - BingNews https://killexams.com/pass4sure/exam-detail/C9020-662 https://killexams.com/exam_list/IBM Killexams : IBM Research Rolls Out A Comprehensive AI And Platform-Based Edge Research Strategy Anchored By Enterprise Partnerships & Use Cases

I recently met with Dr. Nick Fuller, Vice President, Distributed Cloud, at IBM Research for a discussion about IBM’s long-range plans and strategy for artificial intelligence and machine learning at the edge.

Dr. Fuller is responsible for providing AI and platform–based innovation for enterprise digital transformation spanning edge computing and distributed cloud management. He is an IBM Master Inventor with over 75 patents and co-author of 75 technical publications. Dr. Fuller obtained his Bachelor of Science in Physics and Math from Morehouse College and his PhD in Applied Physics from Columbia University.

Edge In, not Cloud Out

In general, Dr. Fuller told me that IBM is focused on developing an "edge in" position versus a "cloud out" position with data, AI, and Kubernetes-based platform technologies to scale hub and spoke deployments of edge applications.

A hub plays the role of a central control plane used for orchestrating the deployment and management of edge applications in a number of connected spoke locations such as a factory floor or a retail branch, where data is generated or locally aggregated for processing.

“Cloud out” refers to the paradigm where cloud service providers are extending their cloud architecture out to edge locations. In contrast, “edge in” refers to a provider-agnostic architecture that is cloud-independent and treats the data-plane as a first-class citizen.

IBM's overall architectural principle is scalability, repeatability, and full stack solution management that allows everything to be managed using a single unified control plane.

IBM’s Red Hat platform and infrastructure strategy anchors the application stack with a unified, scalable, and managed OpenShift-based control plane equipped with a high-performance storage appliance and self-healing system capabilities (inclusive of semi-autonomous operations).

IBM’s strategy also includes several in-progress platform-level technologies for scalable data, AI/ML runtimes, accelerator libraries for Day-2 AI operations, and scalability for the enterprise.

It is an important to mention that IBM is designing its edge platforms with labor cost and technical workforce in mind. Data scientists with PhDs are in high demand, making them difficult to find and expensive to hire once you find them. IBM is designing its edge system capabilities and processes so that domain experts rather than PhDs can deploy new AI models and manage Day-2 operations.

Why edge is important

Advances in computing and storage have made it possible for AI to process mountains of accumulated data to provide solutions. By bringing AI closer to the source of data, edge computing is faster and more efficient than cloud. While Cloud data accounts for 60% of the world’s data today, vast amounts of new data is being created at the edge, including industrial applications, traffic cameras, and order management systems, all of which can be processed at the edge in a fast and timely manner.

Public cloud and edge computing differ in capacity, technology, and management. An advantage of edge is that data is processed and analyzed at / near its collection point at the edge. In the case of cloud, data must be transferred from a local device and into the cloud for analytics and then transferred back to the edge again. Moving data through the network consumes capacity and adds latency to the process. It’s easy to see why executing a transaction at the edge reduces latency and eliminates unnecessary load on the network.

Increased privacy is another benefit of processing data at the edge. Analyzing data where it originates limits the risk of a security breach. Most of the communications between the edge and the cloud is then confined to such things as reporting, data summaries, and AI models, without ever exposing the raw data.

IBM at the Edge

In our discussion, Dr. Fuller provided a few examples to illustrate how IBM plans to provide new and seamless edge solutions for existing enterprise problems.

Example #1 – McDonald’s drive-thru

Dr. Fuller’s first example centered around Quick Service Restaurant’s (QSR) problem of drive-thru order taking. Last year, IBM acquired an automated order-taking system from McDonald's. As part of the acquisition, IBM and McDonald's established a partnership to perfect voice ordering methods using AI. Drive-thru orders are a significant percentage of total QSR orders for McDonald's and other QSR chains.

McDonald's and other QSR restaurants would like every order to be processed as quickly and accurately as possible. For that reason, McDonald's conducted trials at ten Chicago restaurants using an edge-based AI ordering system with NLP (Natural Language Processing) to convert spoken orders into a digital format. It was found that AI had the potential to reduce ordering errors and processing time significantly. Since McDonald's sells almost 7 million hamburgers daily, shaving a minute or two off each order represents a significant opportunity to address labor shortages and increase customer satisfaction.

Example #2 – Boston Dynamics and Spot the agile mobile robot

According to an earlier IBM survey, many manufacturers have already implemented AI-driven robotics with autonomous decision-making capability. The study also indicated that over 80 percent of companies believe AI can help Improve future business operations. However, some companies expressed concern about the limited mobility of edge devices and sensors.

To develop a mobile edge solution, IBM teamed up with Boston Dynamics. The partnership created an agile mobile robot using IBM Research and IBM Sustainability Software AI technology. The device can analyze visual sensor readings in hazardous and challenging industrial environments such as manufacturing plants, warehouses, electrical grids, waste treatment plants and other hazardous environments. The value proposition that Boston Dynamics brought to the partnership was Spot the agile mobile robot, a walking, sensing, and actuation platform. Like all edge applications, the robot’s wireless mobility uses self-contained AI/ML that doesn’t require access to cloud data. It uses cameras to read analog devices, visually monitor fire extinguishers, and conduct a visual inspection of human workers to determine if required safety equipment is being worn.

IBM was able to show up to a 10X speedup by automating some manual tasks, such as converting the detection of a problem into an immediate work order in IBM Maximo to correct it. A fast automated response was not only more efficient, but it also improved the safety posture and risk management for these facilities. Similarly, some factories need to thermally monitor equipment to identify any unexpected hot spots that may show up over time, indicative of a potential failure.

IBM is working with National Grid, an energy company, to develop a mobile solution using Spot, the agile mobile robot, for image analysis of transformers and thermal connectors. As shown in the above graphic, Spot also monitored connectors on both flat surfaces and 3D surfaces. IBM was able to show that Spot could detect excessive heat build-up in small connectors, potentially avoiding unsafe conditions or costly outages. This AI/ML edge application can produce faster response times when an issue is detected, which is why IBM believes significant gains are possible by automating the entire process.

IBM market opportunities

Drive-thru orders and mobile robots are just a few examples of the millions of potential AI applications that exist at the edge and are driven by several billion connected devices.

Edge computing is an essential part of enterprise digital transformation. Enterprises seek ways to demonstrate the feasibility of solving business problems using AI/ML and analytics at the edge. However, once a proof of concept has been successfully demonstrated, it is a common problem for a company to struggle with scalability, data governance, and full-stack solution management.

Challenges with scaling

“Determining entry points for AI at the edge is not the difficult part,” Dr. Fuller said. “Scale is the real issue.”

Scaling edge models is complicated because there are so many edge locations with large amounts of diverse content and a high device density. Because large amounts of data are required for training, data gravity is a potential problem. Further, in many scenarios, vast amounts of data are generated quickly, leading to potential data storage and orchestration challenges. AI Models are also rarely "finished." Monitoring and retraining of models are necessary to keep up with changes the environment.

Through IBM Research, IBM is addressing the many challenges of building an all-encompassing edge architecture and horizontally scalable data and AI technologies. IBM has a wealth of edge capabilities and an architecture to create the appropriate platform for each application.

IBM AI entry points at the edge

IBM sees Edge Computing as a $200 billion market by 2025. Dr. Fuller and his organization have identified four key market entry points for developing and expanding IBM’s edge compute strategy. In order of size, IBM believes its priority edge markets to be intelligent factories (Industry 4.0), telcos, retail automation, and connected vehicles.

IBM and its Red Hat portfolio already have an established presence in each market segment, particularly in intelligent operations and telco. Red Hat is also active in the connected vehicles space.

Industry 4.0

There have been three prior industrial revolutions, beginning in the 1700s up to our current in-progress fourth revolution, Industry 4.0, that promotes a digital transformation.

Manufacturing is the fastest growing and the largest of IBM’s four entry markets. In this segment, AI at the edge can Improve quality control, production optimization, asset management, and supply chain logistics. IBM believes there are opportunities to achieve a 4x speed up in implementing edge-based AI solutions for manufacturing operations.

For its Industry 4.0 use case development, IBM, through product, development, research and consulting teams, is working with a major automotive OEM. The partnership has established the following joint objectives:

  • Increase automation and scalability across dozens of plants using 100s of AI / ML models. This client has already seen value in applying AI/ML models for manufacturing applications. IBM Research is helping with re-training models and implementing new ones in an edge environment to help scale even more efficiently. Edge offers faster inference and low latency, allowing AI to be deployed in a wider variety of manufacturing operations requiring instant solutions.
  • Dramatically reduce the time required to onboard new models. This will allow training and inference to be done faster and allow large models to be deployed much more quickly. The quicker an AI model can be deployed in production; the quicker the time-to-value and the return-on-investment (ROI).
  • Accelerate deployment of new inspections by reducing the labeling effort and iterations needed to produce a production-ready model via data summarization. Selecting small data sets for annotation means manually examining thousands of images, this is a time-consuming process that will result in - labeling of redundant data. Using ML-based automation for data summarization will accelerate the process and produce better model performance.
  • Enable Day-2 AI operations to help with data lifecycle automation and governance, model creation, reduce production errors, and provide detection of out-of-distribution data to help determine if a model’s inference is accurate. IBM believes this will allow models to be created faster without data scientists.

Maximo Application Suite

IBM’s Maximo Application Suite plays an important part in implementing large manufacturers' current and future IBM edge solutions. Maximo is an integrated public or private cloud platform that uses AI, IoT, and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. IBM is working with several large manufacturing clients currently using Maximo to develop edge use cases, and even uses it within its own Manufacturing.

IBM has research underway to develop a more efficient method of handling life cycle management of large models that require immense amounts of data. Day 2 AI operations tasks can sometimes be more complex than initial model training, deployment, and scaling. Retraining at the edge is difficult because resources are typically limited.

Once a model is trained and deployed, it is important to monitor it for drift caused by changes in data distributions or anything that might cause a model to deviate from original requirements. Inaccuracies can adversely affect model ROI.

Day-2 AI Operations (retraining and scaling)

Day-2 AI operations consist of continual updates to AI models and applications to keep up with changes in data distributions, changes in the environment, a drop in model performance, availability of new data, and/or new regulations.

IBM recognizes the advantages of performing Day-2 AI Operations, which includes scaling and retraining at the edge. It appears that IBM is the only company with an architecture equipped to effectively handle Day-2 AI operations. That is a significant competitive advantage for IBM.

A company using an architecture that requires data to be moved from the edge back into the cloud for Day-2 related work will be unable to support many factory AI/ML applications because of the sheer number of AI/ML models to support (100s to 1000s).

“There is a huge proliferation of data at the edge that exists in multiple spokes,” Dr. Fuller said. "However, all that data isn’t needed to retrain a model. It is possible to cluster data into groups and then use sampling techniques to retrain the model. There is much value in federated learning from our point of view.”

Federated learning is a promising training solution being researched by IBM and others. It preserves privacy by using a collaboration of edge devices to train models without sharing the data with other entities. It is a good framework to use when resources are limited.

Dealing with limited resources at the edge is a challenge. IBM’s edge architecture accommodates the need to ensure resource budgets for AI applications are met, especially when deploying multiple applications and multiple models across edge locations. For that reason, IBM developed a method to deploy data and AI applications to scale Day-2 AI operations utilizing hub and spokes.

The graphic above shows the current status quo methods of performing Day-2 operations using centralized applications and a centralized data plane compared to the more efficient managed hub and spoke method with distributed applications and a distributed data plane. The hub allows it all to be managed from a single pane of glass.

Data Fabric Extensions to Hub and Spokes

IBM uses hub and spoke as a model to extend its data fabric. The model should not be thought of in the context of a traditional hub and spoke. IBM’s hub provides centralized capabilities to manage clusters and create multiples hubs that can be aggregated to a higher level. This architecture has four important data management capabilities.

  1. First, models running in unattended environments must be monitored. From an operational standpoint, detecting when a model’s effectiveness has significantly degraded and if corrective action is needed is critical.
  2. Secondly, in a hub and spoke model, data is being generated and collected in many locations creating a need for data life cycle management. Working with large enterprise clients, IBM is building unique capabilities to manage the data plane across the hub and spoke estate - optimized to meet data lifecycle, regulatory & compliance as well as local resource requirements. Automation determines which input data should be selected and labeled for retraining purposes and used to further Improve the model. Identification is also made for atypical data that is judged worthy of human attention.
  3. The third issue relates to AI pipeline compression and adaptation. As mentioned earlier, edge resources are limited and highly heterogeneous. While a cloud-based model might have a few hundred million parameters or more, edge models can’t afford such resource extravagance because of resource limitations. To reduce the edge compute footprint, model compression can reduce the number of parameters. As an example, it could be reduced from several hundred million to a few million.
  4. Lastly, suppose a scenario exists where data is produced at multiple spokes but cannot leave those spokes for compliance reasons. In that case, IBM Federated Learning allows learning across heterogeneous data in multiple spokes. Users can discover, curate, categorize and share data assets, data sets, analytical models, and their relationships with other organization members.

In addition to AI deployments, the hub and spoke architecture and the previously mentioned capabilities can be employed more generally to tackle challenges faced by many enterprises in consistently managing an abundance of devices within and across their enterprise locations. Management of the software delivery lifecycle or addressing security vulnerabilities across a vast estate are a case in point.

Multicloud and Edge platform

In the context of its strategy, IBM sees edge and distributed cloud as an extension of its hybrid cloud platform built around Red Hat OpenShift. One of the newer and more useful options created by the Red Hat development team is the Single Node OpenShift (SNO), a compact version of OpenShift that fits on a single server. It is suitable for addressing locations that are still servers but come in a single node, not clustered, deployment type.

For smaller footprints such as industrial PCs or computer vision boards (for example NVidia Jetson Xavier), Red Hat is working on a project which builds an even smaller version of OpenShift, called MicroShift, that provides full application deployment and Kubernetes management capabilities. It is packaged so that it can be used for edge device type deployments.

Overall, IBM and Red Hat have developed a full complement of options to address a large spectrum of deployments across different edge locations and footprints, ranging from containers to management of full-blown Kubernetes applications from MicroShift to OpenShift and IBM Edge Application Manager.

Much is still in the research stage. IBM's objective is to achieve greater consistency in terms of how locations and application lifecycle is managed.

First, Red Hat plans to introduce hierarchical layers of management with Red Hat Advanced Cluster Management (RHACM), to scale by two to three orders of magnitude the number of edge locations managed by this product. Additionally, securing edge locations is a major focus. Red Hat is continuously expanding platform security features, for example by recently including Integrity Measurement Architecture in Red Hat Enterprise Linux, or by adding Integrity Shield to protect policies in Red Hat Advanced Cluster Management (RHACM).

Red Hat is partnering with IBM Research to advance technologies that will permit it to protect platform integrity and the integrity of client workloads through the entire software supply chains. In addition, IBM Research is working with Red Hat on analytic capabilities to identify and remediate vulnerabilities and other security risks in code and configurations.

Telco network intelligence and slice management with AL/ML

Communication service providers (CSPs) such as telcos are key enablers of 5G at the edge. 5G benefits for these providers include:

  • Reduced operating costs
  • Improved efficiency
  • Increased distribution and density
  • Lower latency

The end-to-end 5G network comprises the Radio Access Network (RAN), transport, and core domains. Network slicing in 5G is an architecture that enables multiple virtual and independent end-to-end logical networks with different characteristics such as low latency or high bandwidth, to be supported on the same physical network. This is implemented using cloud-native technology enablers such as software defined networking (SDN), virtualization, and multi-access edge computing. Slicing offers necessary flexibility by allowing the creation of specific applications, unique services, and defined user groups or networks.

An important aspect of enabling AI at the edge requires IBM to provide CSPs with the capability to deploy and manage applications across various enterprise locations, possibly spanning multiple end-to-end network slices, using a single pane of glass.

5G network slicing and slice management

Network slices are an essential part of IBM's edge infrastructure that must be automated, orchestrated and optimized according to 5G standards. IBM’s strategy is to leverage AI/ML to efficiently manage, scale, and optimize the slice quality of service, measured in terms of bandwidth, latency, or other metrics.

5G and AI/ML at the edge also represent a significant opportunity for CSPs to move beyond traditional cellular services and capture new sources of revenue with new services.

Communications service providers need management and control of 5G network slicing enabled with AI-powered automation.

Dr. Fuller sees a variety of opportunities in this area. "When it comes to applying AI and ML on the network, you can detect things like intrusion detection and malicious actors," he said. "You can also determine the best way to route traffic to an end user. Automating 5G functions that run on the network using IBM network automation software also serves as an entry point.”

In IBM’s current telecom trial, IBM Research is spearheading the development of a range of capabilities targeted for the IBM Cloud Pak for Network Automation product using AI and automation to orchestrate, operate and optimize multivendor network functions and services that include:

  • End-to-end 5G network slice management with planning & design, automation & orchestration, and operations & assurance
  • Network Data and AI Function (NWDAF) that collects data for slice monitoring from 5G Core network functions, performs network analytics, and provides insights to authorized data consumers.
  • Improved operational efficiency and reduced cost

Future leverage of these capabilities by existing IBM Clients that use the Cloud Pak for Network Automation (e.g., DISH) can offer further differentiation for CSPs.

5G radio access

Open radio access networks (O-RANs) are expected to significantly impact telco 5G wireless edge applications by allowing a greater variety of units to access the system. The O-RAN concept separates the DU (Distributed Units) and CU (Centralized Unit) from a Baseband Unit in 4G and connects them with open interfaces.

O-RAN system is more flexible. It uses AI to establish connections made via open interfaces that optimize the category of a device by analyzing information about its prior use. Like other edge models, the O-RAN architecture provides an opportunity for continuous monitoring, verification, analysis, and optimization of AI models.

The IBM-telco collaboration is expected to advance O-RAN interfaces and workflows. Areas currently under development are:

  • Multi-modal (RF level + network-level) analytics (AI/ML) for wireless communication with high-speed ingest of 5G data
  • Capability to learn patterns of metric and log data across CUs and DUs in RF analytics
  • Utilization of the antenna control plane to optimize throughput
  • Primitives for forecasting, anomaly detection and root cause analysis using ML
  • Opportunity of value-added functions for O-RAN

IBM Cloud and Infrastructure

The cornerstone for the delivery of IBM's edge solutions as a service is IBM Cloud Satellite. It presents a consistent cloud-ready, cloud-native operational view with OpenShift and IBM Cloud PaaS services at the edge. In addition, IBM integrated hardware and software Edge systems will provide RHACM - based management of the platform when clients or third parties have existing managed as a service models. It is essential to note that in either case this is done within a single control plane for hubs and spokes that helps optimize execution and management from any cloud to the edge in the hub and spoke model.

IBM's focus on “edge in” means it can provide the infrastructure through things like the example shown above for software defined storage for federated namespace data lake that surrounds other hyperscaler clouds. Additionally, IBM is exploring integrated full stack edge storage appliances based on hyperconverged infrastructure (HCI), such as the Spectrum Fusion HCI, for enterprise edge deployments.

As mentioned earlier, data gravity is one of the main driving factors of edge deployments. IBM has designed its infrastructure to meet those data gravity requirements, not just for the existing hub and spoke topology but also for a future spoke-to-spoke topology where peer-to-peer data sharing becomes imperative (as illustrated with the wealth of examples provided in this article).

Wrap up

Edge is a distributed computing model. One of its main advantages is that computing, and data storage and processing is close to where data is created. Without the need to move data to the cloud for processing, real-time application of analytics and AI capabilities provides immediate solutions and drives business value.

IBM’s goal is not to move the entirety of its cloud infrastructure to the edge. That has little value and would simply function as a hub to spoke model operating on actions and configurations dictated by the hub.

IBM’s architecture will provide the edge with autonomy to determine where data should reside and from where the control plane should be exercised.

Equally important, IBM foresees this architecture evolving into a decentralized model capable of edge-to-edge interactions. IBM has no firm designs for this as yet. However, the plan is to make the edge infrastructure and platform a first-class citizen instead of relying on the cloud to drive what happens at the edge.

Developing a complete and comprehensive AI/ML edge architecture - and in fact, an entire ecosystem - is a massive undertaking. IBM faces many known and unknown challenges that must be solved before it can achieve success.

However, IBM is one of the few companies with the necessary partners and the technical and financial resources to undertake and successfully implement a project of this magnitude and complexity.

It is reassuring that IBM has a plan and that its plan is sound.

Paul Smith-Goodson is Vice President and Principal Analyst for quantum computing, artificial intelligence and space at Moor Insights and Strategy. You can follow him on Twitter for more current information on quantum, AI, and space.

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.

Mon, 08 Aug 2022 03:51:00 -0500 Paul Smith-Goodson en text/html https://www.forbes.com/sites/moorinsights/2022/08/08/ibm-research-rolls-out-a-comprehensive-ai-and-ml-edge-research-strategy-anchored-by-enterprise-partnerships-and-use-cases/
Killexams : What is IoT? Guide to the Internet of Things

The Internet of Things (IoT) shifts human and computer interaction to a broad and widely distributed framework. By connecting various “things” and “objects”—smartphones, lights, industrial machines, wearables, remote sensors and physical objects that have been equipped with RFID tags—it’s possible to drive advances that would have seemed unimaginable only a couple of decades ago.

The IoT—which serves as a broad term for a vast network of connected devices—has moved into the mainstream of business and life. It now serves as a fabric for far more advanced human-machine interaction. It encompasses everything from home thermostats and wearables to tracking systems and smart systems for agriculture, buildings and even cities.

Today, virtually no technology lies outside the realm of the IoT. Self-driving vehicles, manufacturing robots, environmental monitoring, supply chain tracking, transportation systems, and remote medical devices are just a few of the areas undergoing radical change due to the IoT.

Mobile phone company Ericsson reports that there are currently about 29 billion IoT devices in use worldwide. Businesses are increasingly turning to the IoT to drive innovation, trim costs, Improve safety and security, and promote greater sustainability.

Not surprisingly, the global COVID-19 pandemic has further accelerated adoption of IoT technologies. The need for automation and touchless systems has multiplied. These include frameworks that support remote work as well as various health scanners, contact tracing systems, crowdsourcing and digital payments. Used effectively, the IoT introduces systems and frameworks that match or exceed human capabilities.

A Brief History of IoT

From the earliest days of computing, it has been apparent that connected devices and systems deliver value. They allow machines and humans to interact in more useful and productive ways. The roots of the IoT extend back to 1969, when a group of prominent researchers developed ARPAnet (the precursor to today’s Internet). Over the ensuring three decades, various computing, networking and wireless protocols began to take shape—and serve as a foundation for the IoT.

In 1999, Kevin Ashton from MIT introduced the term “Internet of Things.” At the time, the concept focused heavily on RFID tags that were added to physical objects. However, after the turn of the century, two events proved transformative. In the early 2000’s, Amazon introduced AWS Cloud. It provided an agile and flexible framework for collecting, managing and sharing data. Six thereafter, Apple released the first iPhone. It supported sophisticated apps and enabled always-on real-time connectivity.

By 2008, the IoT reached a milestone. There were more connected devices than people in the world. Over the ensuing years, further developments in sensors, connectivity and artificial intelligence (AI) fueled increasingly sophisticated and easy-to-use IoT solutions. Meanwhile, consortiums and standards appeared, making it easier to maximize the value of a connected world.

Over the last few years, the IoT has matured at a remarkable speed. Sensors and microchips designed specifically for the IoT have appeared, software and AI/machine learning have advanced, and vendors have introduced an array of solutions that deliver more robust capabilities.

Also see: What is Edge Computing

How the IoT Works

Connecting myriad devices, while a seemingly simple concept, is incredibly challenging. IoT devices must function in many different situations and scenarios. They must interact with other digital technologies as well as legacy systems while relying on different communications standards and protocols. In many cases, IoT devices must support multiple standards and protocols.

The foundation for the IoT is Internet Protocol (IP) and Transmission Control Protocol (TCP). These standards—which grew out of ARPAnet and are now part of the Internet and Web—serve as the underlying protocols for establishing a virtual connection between various sensors, devices and systems.

IoT devices connect to IoT gateways or edge devices that collect data. The modern IoT is comprised of seven basic layers that reside within an Open Systems Interconnection (OSI) model. These include the:

  • Physical layer
  • Data links
  • Network
  • Transport mechanism
  • Session layer
  • Presentation layer
  • Software applications

The physical and data link layers determine how devices connect to the IoT. This can include cables, Bluetooth or Wi-Fi. The data link layer identifies connected devices through a media access control (MAC) address.

The network layer, also referred to as the Internet layer, routes packets of data to an Internet Protocol (IP) address. Today, Internet Protocol version 6 (IPv6) offers advanced network identification and controls that keeps the IoT running.

The transport layer accommodates end-to-end communication across a group of IoT devices and other systems. It boosts reliability, alleviates congestion and ensures that packets arrive intact and in the correct sequence.

The session, presentation and application layers address cross-application messaging and the exchange of data.

Vendors and others use a wide range of IoT protocols to address the specific needs of each of these layers. These include various communication technologies such as 5G and LTE, Bluetooth, Near Field Communication (NFC), LAN, RFID, ZigBee, Wi-Fi, Low Power Wide Area Network (LPWAN), Wide Area Networks (WAN) and Metropolitan Area Network (MAN).

Each of these technologies enables different capabilities. For example, RFID makes it possible to attach a tracking chip to a physical item—anything from a medical device in a hospital to a pallet that contains food products or medicine. ZigBee and a similar protocol called Z-Wave use a mesh network to transmit data—even when a cellular or wired connection isn’t available.

However, it’s often possible to link and combine different technologies such as Bluetooth Low Energy, Z-Wave and 804.15.4 through IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN), an open standard that supports low-power radio communication to the internet.

Much of the data collected by IoT devices is streamed to the cloud or managed in Edge and Fog systems, which can store and sometimes process data away from a central server or cloud. This model makes it possible to introduce far more advanced real-time capabilities that are needed for systems such as digital twins, smart manufacturing and smart cities.

Also see: Best Data Analytics Tools 

Data Drives IoT

At its heart, the IoT is a sensing system. The “eyes, ears, nose and fingers” of this connected world reside in various devices, sensors and chips. They collect the data that feeds insight, automation, AI and other functions. Today’s IoT sensors can detect movement and motion, temperature, pressure, gas and chemical concentrations, magnetic and electrical fields, light, sound and much more.

This makes it possible, for example, to determine when a bridge or tunnel requires repairs, how to optimize performance across a subway or train network, and when a specific event has occurred. In the latter case, a motion sensor might switch on a security camera if someone enters an unauthorized space.

The IoT can also aid in keeping machinery running, support connected healthcare, Improve supply chain visibility, personalize media content, and aid in managing infrastructure and equipment, such as storage tanks and transport vehicles.

All the data collected by sensors can also identify patterns and trends that escape human eyes and minds. For instance, the IoT can help a credit card company identity fraud, an ice cream manufacturer know which flavors are more popular in different locations, and a healthcare provider spot factors that contribute to sickness and disease.

Weather forecasting has become far more accurate in exact years due to connected weather stations that feed data on a block-by-block level. In many cases, homeowners and businesses install connected weather stations and the data is aggregated by the IoT and used to generate more granular predictions. This data benefits farmers, importers, logistics companies and many others.

Geolocation is a key factor in connecting all the data dots. It makes it possible to understand data in deeper ways—and in context—but it also enables more advanced capabilities that allow an E-ZPass toll system or a company such as Lyft to perform its magic. The possibilities are nearly endless. Identifying cars, scooters or pollutants, and overlaying services, payments and solutions suddenly becomes possible with IoT geolocation data.

Of course, a key consideration for organizations looking to extract the maximum value from the IoT is to ensure that the data is accurate. One of the biggest challenges revolves around how data is combined—and what data to exclude. Data scientists must ensure that software and other tools pull the right data at the right time, sequence it correctly, and combine it in a way that generates meaningful results.

When data is assembled and sequenced correctly, it’s possible to gain highly granular snapshots of actions, movements, events, behaviors and conditions. This can help businesses develop more elastic and dynamic pricing models, highly accurate predictive maintenance frameworks, smarter sourcing and supply chains and much more. As organizations slice, dice, crunch and analyze all this data—often through machine learning (ML) and deep learning (DL) techniques—valuable insight, information and knowledge follow.

Also see: Top Data Visualization Tools 

IoT Means Business

According to the World Economic Forum, the IoT is part of the Fourth Industrial Revolution. A convergence of various digital technologies enables things like precision agriculture, smart factories, digital twins, fully autonomous vehicles and robotics, automated warehouses and grocery stores, and entirely new business models, which weren’t possible before the IoT existed.

Digital twins are a particularly compelling solution. These systems—which typically extract data from buildings, roadways, storage tanks, engines, manufacturing equipment, products and numerous other sources, create virtual models or “twins” of actual products, services, and systems. In this simulated space, it’s possible to explore various options and scenarios, and understand performance and possible outcomes at a far deeper level.

Plugging into a growing collection of standards, protocols and APIs, IoT systems can connect and interconnect in increasingly sophisticated ways. It’s possible to tap into broader technology platforms that intersect with AI and automation. Increasingly, vendors such as AWS, Google, Cisco, Microsoft, IBM, SAP and others offer IoT and Industrial IoT (IIoT) platforms that combine various functions and deliver plug-and-play capabilities.

These vendor platforms now include highly integrated tools for auto-provisioning, data collection, cloud and edge storage, remote device management, analytics and machine learning, policy enforcement and security. Many of these systems are highly scalable and many include templates and functions designed for specific industry verticals, such as manufacturing, healthcare, finance and transportation.

This leads to potential gains in several areas: workers safety, production uptime, product quality, regulatory compliance, operational efficiencies, physical security and much more. Together, the IoT and IIoT can deliver visibility into conditions that extend outside the enterprise.

Today, IoT platforms serve as a valuable resource for both small and larger enterprise. They reduce—and in some cases eliminate—the need to assemble an IoT framework from scratch and devote staffing and financial resources to the task of maintaining and updating a connected technology and business framework.

Also see: Top Digital Transformation Companies

How Secure is IoT?

An inconvenient truth is that the IoT is not inherently secure. Because it is comprised of a mishmash of protocols, standards and vendors, any enterprise venturing into a highly connected world must take abundant precautions and enact strong safeguards. In addition, as organizations accumulate large numbers of IoT devices—sometimes reaching into the millions—the security challenges multiply.

It’s no secret that data breaches and ransomware attacks have reached epidemic proportions. During the pandemic, the problem worsened. As more and more connected devices appear, potential gaps and breakdowns grow. Making matters worse, conventional security tools don’t necessarily protect IoT devices and data.

Part of the security challenge also centers on the way IoT devices are built—and what operating system and software they use. Unfortunately, equipment vendors frequently use legacy BIOS and OS standards that are not equipped for today’s environment. Many also don’t provide regular patches and updates to address security bugs and other problems.

Already, criminals have taken over Internet connected baby monitors, commandeered smart refrigerators and television sets, and gained access to automobiles and medical devices.

Ultimately, IoT security must address three primary areas:

Authentication

Device authentication increasingly revolves around protocols, such as X.509, that verifies devices, gateways, users, services, and applications. The X.509 cryptographic standard uses self-signed or authority-signed public key certificates that validate identities over a network.

Encryption

Encryption typically encompasses the Wireless Protection Access 2 (WPA2) standard of network encryption.

Port protection

Port protection techniques revolve around disabling ports that aren’t required to operate an IoT device or ensuring that they are protected by a firewall.

Fortunately, a growing array of vendors specialize in IoT security. They are introducing more integrated and streamlined security for this highly connected business world.

Also see: Data Mining Techniques 

Ethical and Privacy Concerns Related to IoT

There’s also a growing focus on privacy and ethics. As data becomes more connected—and interconnected—both the challenges and risks grow. The European Union’s General Data Protection Regulation (GDPR), which took effect in 2018, introduced strict rules, regulations and penalties for organizations handling data that touches European citizens.

In 2020, California introduced a new law, California Consumer Privacy Act (CCPA), which requires manufacturers to include “reasonable” security features in IoT devices. It also introduced standards for companies doing business in California, and penalties for violations and data breaches. A major violation could result in fines of US $2,500 to US $7,500 per violation as well as action from the California attorney general’s office.

The concerns don’t stop with laws and regulations, however. Privacy experts and a growing segment of the public are increasingly vocal about how facial recognition data, healthcare data and other forms of IoT data are collected and used. As a result, businesses relying on the IoT must take a close look at several key areas and tools, including:

  • Data personalization
  • Data de-identification, and re-identification
  • Data persistence
  • How IoT data is stored and retained

IoT: a Connected World is Taking Shape

Sitting on the sidelines and waiting for the IoT to mature is no longer a viable option for most organizations. The IoT and IIoT are here now, and they are valuable tools for businesses of all shapes and sizes. Industries as diverse as finance, manufacturing, agriculture, construction, energy, transportation and healthcare are witnessing enormous changes as a result of connected technologies.

Consulting firm McKinsey & Co. reports that the worldwide number of IoT-connected devices is projected to increase to 43 billion by 2023, an almost threefold increase from 2018. The firm also notes that the IoT is an increasingly critical factor in determining which companies excel and generate growth and new sources of revenues.

What’s more, sensor technology and other IoT components are becoming cheaper and far more powerful. When organizations combine these components with powerful 5G, cloud, edge and fog technologies, the power of the IoT further multiplies—and the value to organizations grows. Adding augmented reality, virtual reality, robotics and various forms of AI often unleashes new and compelling business models.

The opportunities don’t end at the four walls of the enterprise. The World Economic Forum found that 84% of existing IoT deployments address, or have the power to advance, the UN’s Sustainable Development Goals. As organizations develop and advance sustainability programs and aim for aggressive carbon reduction targets, the IoT will play a crucial role in measuring progress, identifying gaps and achieving objectives.

To be sure, the IoT is at the center of everything as businesses look to modernize and gain advantages through innovation, cost cutting, new features and services, and improved interactions with business partners and customers. The IoT is ultimately about dollars—and good business sense. Enterprises that put it to work effectively witness innovation and transformation on a scale that hasn’t been possible in the past. These enterprises achieve the full promise of digital transformation.

Also see: Real Time Data Management Trends

Fri, 22 Jul 2022 06:57:00 -0500 en-US text/html https://www.eweek.com/networking/what-is-iot-guide-to-the-internet-of-things/
Killexams : IT industry grapples with issues around complexity and security as Kubernetes adoption grows

The IT industry has a complexity problem, and it is leading to deeper conversations among thought leaders around how to solve it.

The days of building applications on one server using a monolithic architecture have transformed into developing numerous microservices, packaging them into containers, and orchestrating the entire production using Kubernetes in a distributed cloud.

It’s no wonder that in global survey results released by Pegasystems Inc. barely two months ago, three out of four employee respondents felt job complexity had continued to rise and they were overloaded with information, systems and processes. Nearly half singled out digital transformation as the cause.

Kubernetes has proven a great tool for driving modern IT infrastructure, yet it has also figured prominently in the design of overly complex systems. One of the tech industry’s most prominent thought leaders called attention to this issue in a exact interview during DockerCon 2022, with virtual coverage produced by theCUBE, SiliconANGLE Media’s livestreaming studio.

“The world is going to collapse on its own complexity,” said noted development leader Kelsey Hightower, during a conversation with Docker chief executive Scott Johnston. “The number of teams I meet, and I won’t mention any names, say, ‘Kelsey, we’re going to show you our Kubernetes stack.’ Twenty minutes later, they are at piece number 275. Who’s going to maintain all of this? Why are you doing this?”

Move toward common interfaces

Hightower’s anecdote highlights the need for standardized tools within the Kubernetes developer community. As Kubernetes has matured, it has become a platform for building other platforms, and platform-as-a-service offerings such as CloudRun, OpenShift and Knative have enabled a great deal of operational management tasks for developers.

There has also been a move to create common interfaces within Kubernetes to enable adoption without requiring open-source community-wide agreement on implementation. These include Container Networking Interface, Container Runtime Interface and Custom Resource Definitions.

Despite the IT industry’s growing complexity, Hightower sees hope in the Kubernetes community’s ability to centralize around standardized tools.

“These contracts matter, and these standards are going to put complexity where it belongs,” Hightower said. “If you are a developer, yes, the world is complex, but it doesn’t mean that you have to learn all of that complexity. When you standardize you get to level the whole field up and move much faster. It’s got to happen.”

The challenge for many organizations is how to balance the requirements of running a data-driven business with the complexity that brings. While some enterprises have merely dipped their toes into the container deployment waters, others have jumped headfirst into the pool.

A Canonical Ltd. cloud operations report found that Kubernetes users commonly deploy two to five production clusters. The European Organization for Nuclear Research, known as CERN, is the largest particle physics laboratory in the world and runs approximately 210 clusters. Then there is Mercedes-Benz, which has pursued another model entirely. The global automaker gave a presentation at KubeCon Europe in May that described how it uses over 900 Kubernetes clusters.

The German automaker was an early adopter of Kubernetes. It began experimenting with the container orchestration tool in 2015, only a year after Google LLC open-sourced the technology.

“We started small as a grassroots initiative,” said Andrea Berg, manager of corporate communications at Mercedes-Benz North America Corp., in comments provided to SiliconANGLE. “It was driven in a ‘from developers to developers’ mindset and became more and more successful. We helped change the mindset of our company towards cloud-native and free and open-source software.”

Mercedes-Benz Tech Innovation, the company’s subsidiary for overseeing company-wide technology, has grown its structure to support hundreds of application development teams. As the number of Kubernetes clusters grew, the company realized that it would need a tool to manage them. It turned to Cluster API on OpenStack, a Kubernetes-native way to manage clusters among different cloud providers.

The company also created a culture where developers would soon realize that as applications were completed, there would be no more ticket desks to run them. Automation tools would drive DevOps.

“We realized that a single shared cluster would not fit our needs,” said Jens Erat, DevOps engineer at Mercedes-Benz, during a KubeCon Europe presentation. “We had engineers with in-depth knowledge; we understood the tech and decided to create our own solution instead. You build it, you run it. There’s an API for that.”

Knative eases developer burden

The API path toward an easier approach for deploying Kubernetes in the enterprise received a boost in March when the Cloud Native Computing Foundation announced that it would accept Knative as an incubating project. Originally developed by Google, Knative is an open-source, Kubernetes-based platform for managing serverless and event-driven applications.

The concept behind severless technology is to bundle applications as functions, upload them to a platform, and have them automatically scaled and executed. Developers only have to deploy apps. They don’t have to worry about where they run or how a given network is handling them.

A number of major companies have a vested interest in seeing Knative become more widely used. Red Hat, IBM, VMware and TriggerMesh have worked with Google to Improve Knative’s ability to manage serverless and event-driven applications on top of the Kubernetes platform.

“We see a lot of interest,” said Roland Huss, senior principal software engineer at Red Hat Inc., in an interview with SiliconANGLE. “We heard before the move that many contributors were not looking into Knative because of not being part of a mutual foundation. We are still ramping up and really hope for more contributors.”

The road for Knative has been a bumpy one, which has exposed growing pains as the Kubernetes community has expanded. Google took some heat for previously deciding not to donate Knative, before announcing a change of heart in December.

Ahmet Alp Balkan, one of Google’s engineers who worked on different aspects of Knative prior to last year, penned a blog post that expressed concerns around how the serverless solution had been positioned within the developer community. Among Balkan’s concerns was the description of Knative as a building block for Kubernetes itself.

“I think we overestimated how many people on the planet want to build a Heroku-like platform-as-a-service layer on top of Knative,” Balkan wrote. “Our messaging revolved around these ‘platform engineers’ or operators who could take Knative and build their UI/CLI experience on top. This was the target audience for those building blocks Knative had to offer. However, this turned out to be a very small and niche audience.”

Need for greater security

Thought leaders in the Kubernetes community have also become more attuned to security for the container orchestration tool. Feedback from the user base has validated this focus.

In May, Red Hat published the results of a survey that found that 93% of respondents had experienced at least one security incident in their container or Kubernetes environments. More than half of respondents had delayed or slowed application deployment over security concerns. The report’s findings received additional credence in late June. Scanning tools used by the cybersecurity research firm Cyble Inc. uncovered 900,000 Kubernetes instances that were exposed online.

“Real DevSecOps requires breaking down silos between developers, operations and security, including network security teams,” said Kirsten Newcomer, director of cloud and DevSecOps strategy at Red Hat, during a KubeCon Europe interview with SiliconANGLE. “The Kubernetes paradigm requires involvement. It forces involvement of developers in things like network policy for things like the software-defined network layer.”

There is also an expanding list of open-source tools for hardening Kubernetes environments. KubeLinter is a static analysis tool that can identify misconfigurations in Kubernetes deployments. Security-Enhanced Linux, a default security feature implemented in Red Hat OpenShift, provides policy-based access control. And the CNCF project Falco acts as a form of security camera for containers, detecting unusual behavior or configuration changes in real time. Falco has reportedly been downloaded more than 45 million times.

With Kubernetes, it is easy to get caught up in metrics surrounding enterprise adoption, security and application deployments. Yet behind the increased dependence on containers can be found an important element that gets lost in the noise. Whether Kubernetes is complex or not, a lot of people now depend on this technology to work.

Near the end of his dialogue this spring with Docker’s Johnston, Hightower related a story about his previous work for a financial firm that processed shopping transactions for families needing government assistance. At one point, the transaction processor crashed and Hightower joined his colleagues in a “war room” as programmers followed a laborious set of steps to reboot the system and get the platform working.

“We’re just looking at this screen, some things were turning green and some were turning red, and the things turning red were the result of payments being declined,” Hightower recalled. “Each of those items turning red on the dashboard represented someone with their whole family trying to buy groceries. Their only option was to leave all of their groceries there. What we have to do as a community is remind ourselves that it’s people over technology, always.”

Image: distelAPPArath/Pixabay

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Mon, 08 Aug 2022 06:22:00 -0500 en-US text/html https://siliconangle.com/2022/08/08/it-industry-grapples-with-issues-around-complexity-and-security-as-kubernetes-adoption-grows-kubecon/
Killexams : Your Financial Road Map in an Uncertain Future

Healthcare organizations have been struggling with significant financial instability over the last couple of years due to rising supply costs, continued labor shortages, rapid IT changes and costs, cybersecurity threats, and money pouring into healthcare ventures rather than into health systems.

These challenges deliver the impression that there are few opportunities for healthcare’s financial leaders to navigate past them and find pathways for growth and gain. But this isn’t the case. Some healthcare organizations are finding innovative ways to run operations, manage staff, and serve patients.

HealthLeaders spoke with two hospital systems that are setting themselves apart from the competition—Edward-Elmhurst Health in Naperville, Illinois, and Bellin Health in Green Bay, Wisconsin. They are making hard decisions to contain and cut costs where possible. They are looking for new sources of revenue. They are using data to drive better decision-making, and they are changing their culture to become leaner and smarter while maintaining quality patient care.

A focus on innovation and data at Edward-Elmhurst Health

When Edward-Elmhurst Health merged with NorthShore University HealthSystem several months ago, the health system boasted nine hospitals and over $5 billion in total net patient revenue. Pre-merger, Edward-Elmhurst Health had included three hospitals, with 700 beds total, and $1.68 billion in net patient revenue. Edward-Elmhurst Health has also been named a Top 15 Health System in the country for the fourth year in a row by IBM Watson Health/Fortune. 

Edward-Elmhurst Health took a significant financial hit because of the pandemic, but it is counting on strategic moves around innovation and data insights to bounce back stronger.

"Pre-pandemic, Edward-Elmhurst Health had stabilized financial results with a 3% margin and approximately a year’s worth of cash on hand," says Edward-Elmhurst Health CFO Denise Chamberlain, FACHE. "The pandemic and the changes that came with it, including inflation and workforce stresses, have seriously challenged us. Excluding pandemic relief funds—which are assumed not to continue—margins are currently break-even on a good month, and negative on a bad one."

Unlike other businesses or industries, healthcare providers cannot simply pass on rising costs, Chamberlain notes.

"We have multiyear contracts with payers that include year-over-year increases substantially less than the cost increases we are seeing," she says. 

From strong financial health to needing life support

When the pandemic began, executives at Edward-Elmhurst Health made a difficult diagnosis—revenues at the health system would likely go on life support, at least for a while. Edward-Elmhurst Health needed new ways of cutting operational costs, looking for new revenue sources, and using data for improved decision-making.

The healthcare system has found it can accomplish this through three top strategies: the creation of a financial road map that focuses on a return to sustained profitability; the formation of an Innovation Steering Committee to spearhead business strategies; and a focus on data-driven decisions to Improve financial performance.

"Our financial road map includes a return to sustainable profitability," Chamberlain says. "Without the ability to 'raise rates,' we must make this turnaround by finding new ways to grow, alternative revenue streams, and ways to reduce the costs associated with delivering care."

That means paying attention to the three top financial challenges. First is labor, including turnover and escalating payroll costs.

"Our HR division has assembled a team that works closely with operations leaders to monitor our labor situation," says Chamberlain. "We track actual data, both internally and compare it to national and regional trends, for things like turnover and vacancy rates. We compare that to what we are hearing from our staff during interviews."

Edward-Elmhurst Health also assembled a task force to anticipate what the organization’s "workforce of the future" will look like.

"We want to take a longer view of what the demands of our industry will be, what consumers will want, and what the workforce will want, and begin to build a map to align it all," Chamberlain explains. "This map will include decisions about investments in education partnerships, the redesign of care models, and long-range recruiting and retention strategies. The goal is to ensure that NS-EE remains an employer of choice."

Regarding inflation and supply chain disruption, Chamberlain acknowledges that Edward-Elmhurst Health has limited ability to impact these external forces.

"Therefore, our response has been actions such as increasing inventory levels to avoid shortages and finding other cost-saving initiatives to offset the increases in supply spend," she says.

"Our Continuous Improvement Committee leads this work," Chamberlain explains. "As an example, we have consolidated supply spend in certain areas to enhance our ability to negotiate better pricing of some supplies."

A strategic focus on creative financial solutions

About two years ago, Edward-Elmhurst Health formed an Innovation Steering Committee to help reach its goals of recovery and growth by finding creative ways to uncover new revenue opportunities.

"Since all leaders were being bombarded by startups and other vendors pushing the existing 'shiny thing' to help them, we organized to have all innovation funnel through this committee, which is an interdisciplinary group of leaders," Chamberlain explains.

The Innovation Steering Committee sets priorities each year to address pain points, looks for new technologies that can help with those challenges, and sets priorities for new investments.

"Through this committee, we just introduced robots to our nursing units to deliver supplies. We feel this type of infrastructure and focus on innovation will help us be in front of others to adopt tech that will reduce expenses through artificial intelligence [AI]," Chamberlain says.

To aid with revenue diversification, Edward-Elmhurst Health also formed its venture capital fund in 2020.

"Our fund director sources investment opportunities for us. She also works closely with the Innovation Steering Committee so that she knows the types of technology that we think, as a health system, will be important," Chamberlain explains.

The Edward-Elmhurst Health fund is currently small—approximately $15 million. The healthcare system has made approximately 18 direct investments so far, plus invested in other healthcare venture funds.

"These investments are still early," Chamberlain says. "So, although all of them seem to be doing well, we have not recorded any gains from them yet."

Robust and trustworthy data drives decision-making

One of the most important initiatives that Edward-Elmhurst Health is undertaking to ensure success is placing greater focus on data management and data analytics. Edward-Elmhurst Health executives recognize that robust and trustworthy data is critical to making intelligent decisions to help the organization succeed and grow.

"We rely heavily on data to help us identify opportunities to Improve our financial performance," Chamberlain says.

"Our decision support system provides us information by expense type, by department, by service line, by entity to see where margins have deteriorated, expenses have increased, volumes are rising or falling," Chamberlain explains. "With this information, we can target areas for reductions and work with the appropriate leaders to find the opportunities and develop plans to execute and deliver the improvements."

A few areas where Edward-Elmhurst Health has identified and executed financial improvements include orthopedic spine implant utilization, instrument usage in general surgery, and staffing ratios and mixes in physician offices.

The decision support system can also show Edward-Elmhurst Health where it has variances in expenditures among physicians or locations, such as in supply utilization or higher-cost supply choices and in length of stay—which affects cost.

"This information enables us to identify best practices and strive to both Improve patient experience and outcomes, but also reduce costs as well," Chamberlain says.

Edward-Elmhurst Health also utilizes benchmarking services to compare its labor, supply spend, and other expenses to healthcare peers across the country.

"This data allows us to see where opportunities may exist that we were not aware of. In some cases, we connect with other health systems in the benchmark database to see how they may be doing things differently than us to achieve lower costs or resource utilization," Chamberlain says.

These investments in systems, software, and data analytics tools are paying off.

"We have built an infrastructure to mine the data, turn it into usable information, identify appropriate teams to harvest the opportunity, then monitor, measure, and report results across leadership monthly through our Continuous Improvement Committee and our monthly financial report—which includes a page specific to these initiatives and results versus targets," says Chamberlain. "In FY21, our target was $48 million, and our actual results were in excess of $100 million."

The role of AI, automation, and machine learning

Edward-Elmhurst Health is also making substantial investments in advanced technologies, such as automation, AI, and machine learning.

"We have contracted with automation vendor Catalytic," says Chamberlain, "[which] is helping us automate various nonclinical workflows that are repetitive, high-touch activities. We are using an AI-powered chatbot to help our patients navigate to the right clinical and nonclinical endpoints within our health system."

The healthcare system is looking to use AI to assist with clinical initiatives such as remote patient monitoring and falls prevention. It is introducing robots within its acute care hospitals to assist with non-patient-facing transport tasks, thereby easing the burden on patient care staff. 

A strong focus on digital health technologies is a must

Telemedicine skyrocketed during the pandemic, and Edward-Elmhurst Health has placed a great deal of focus on its road map for digital health.

The healthcare system has six product teams carved out under its digital health strategy, Chamberlain says. They are digital marketing and consumer relationship management (CRM); digital front door; digital patient access; virtual care; remote patient monitoring; and hospital at home.

"We have been executing on various digital health initiatives over the years," explains Hiral Patel, innovation program manager at Edward-Elmhurst Health. "With the marked advance of digital health in the last few years, we wanted to have a more focused and intentional approach to advancing our efforts in this area. The formation of our product teams is helping us draw out road maps under each product with tight collaboration among product leaders and a consistent organizational vision." 

"By this, we mean that we were taking on smaller-sized projects to advance digital health within the organization without one centralized governance or team," Patel says. "For example, the IT team would initiate a project based on upgrades that were coming from our EMR vendor. Operations would ask for small optimizations to assist with the provider or patient workflows."

These initiatives, teams, strategies, and investments have taught Chamberlain that "righting the ship" financially at any hospital or healthcare center requires an all-hands-on-deck effort.

"Finance cannot do this alone," Chamberlain says. "It needs to be a team effort with participation across the organization, including strategy, HR, IT, and operations. Designing a process that includes everyone ensures all relevant factors are brought to light, decisions on what to prioritize are agreed upon, there is an understanding of the 'why' behind the financial goals, and the entire organization understands and buys into the road map, which is the only way it can be achieved."

Transforming the mission, operations, and culture at Bellin Health

Bellin Health is an integrated healthcare delivery system with three hospitals based in Green Bay, Wisconsin: an acute care hospital, a behavioral health inpatient facility, and a critical care access hospital. The health system also has an ambulatory surgery center.

Approximately 680,000 residents are served by Bellin Health across northeastern Wisconsin to the upper peninsula of Michigan. Bellin Health has approximately $800 million in net patient revenue and over $1 billion in assets.

In the dozen or so years before the COVID-19 pandemic, Bellin Health had experienced significant growth, and it had achieved great success in lowering the total cost of care.

"We saw continued declines in hospitalizations and more growth in ambulatory and outpatient care," explains Bellin Health CFO James Dietsche. "We did all that while being very successful financially through the process."

The pandemic took a significant toll on the health system and its revenues. In its effort to recover and grow, Bellin Health is focused on a multiprong strategy: becoming a population health organization, transforming operations, placing greater emphasis on home care and outpatient services, and better using data to drive business decisions.

Moving to a total population health operating model

Of all these goals, one stands out. "We’re trying to transform ourselves into a population health organization," Dietsche explains. "We want to be able to take care of an individual or a population—such as an employer, a municipality, or a school district—from birth to death."

Bellin Health executives realize that this strategy is key to growing its patient population, market share, and new sources of revenue. But the healthcare system can’t meet this goal alone. It needs the involvement and complementary services of social service agencies, specialty care providers, and even competitors.

The health system is looking for opportunities where such partnerships make sense, benefit all parties, and Improve the delivery of care. These partnerships also present opportunities to reduce the cost of providing certain services and procedures.

"We need other partners, including our competitors, involved because our focus is on keeping our communities in our region economically sustainable for the long term," Dietsche says. "So, our financial road map has focused on lowering the total cost of care. That means moving more services to the right sites for the most appropriate care."

One way the system is doing this is by moving outpatient procedures that are currently done in the hospital to freestanding ambulatory surgery centers, Dietsche explains.

Patient demands for services factor heavily in the road map

When the pandemic started, Bellin Health found that the demand for certain services—especially those related to telehealth—rose dramatically. The health system has made addressing those demands a major part of its financial road map going forward.

"It starts with the voice of the customer and how we can better serve them. What does the patient need? How do we make it easier for them to get access? Then we design our products and programs and services around the answers to those questions," Dietsche says.

Patients and employers want more on-site services, easier access to primary care services, and resources that can be offered remotely and during the day.

"Our hospitals continue to be extremely busy. And we want to provide the right care in the right setting," Dietsche says. "Before the pandemic, we had a hospital-at-home program. That has definitely taken off—we’ve probably grown it fourfold—and other services are being delivered in the home setting."

The good news is that not only does the greater focus on home care services increase customer satisfaction, but it also helps decrease the cost of providing care, Dietsche says.

Tackling changes as a series of manageable projects

To ensure that Bellin Health is making the best changes and investments, the health system has broken down its goals into a series of related projects and scorecards. This makes the changes more manageable. It is also easier to explain to employees why certain things are being done and how each project will hopefully result in improved business processes, operational efficiencies, revenue enhancements, and quality of patient care.

"Bellin is a much-disciplined organization when we take on an initiative," Dietsche says. "First, we establish the objectives, and then the criteria for measuring success and return on investment. In many instances, we do these things in a pilot or PDSA setting. We might try it with an employer or a population health group. We identify what we expect to see. We set up the scorecard measures. We determine what resources are needed. And then we go through the process."

That "process" might be short term, long term, or very long term.

"It could be 30 days, and sometimes 120 days. It could be even longer than that, depending on what the project is," Dietsche says. "At the end of the process, we bring scorecard information back to a group and evaluate it. Some things get refined, some things get more refined, and the program expands."

The health system must address certain key points with each project, Dietsche says. Questions it asks include:

•          What are we trying to accomplish?

•          What things will Improve the patient experience?

•          What things will Improve our business processes?

•          What is the baseline measure of success for either?

But the most important question to ask is, "What’s the return on that investment?" Dietsche says.

Cost containment is a key element in recovery and profitability

An important aspect of growing financially in these turbulent times is cost containment.

"All healthcare organizations go through economic cycles, and it’s no different than any other industry," Dietsche says. "In my 17 years at Bellin, we’ve been through multiple cycles. So, our process on this has been tried-and-true. We’re in that process right now."

The cost containment process requires evaluating what’s going on within the service lines and within support operations, and factoring in inflation and labor costs.

"We set targets related to those things. We ask the leaders to be accountable to those targets. We ask them to provide ideas and suggestions of how to either Improve their specific areas of work, to remove inefficiencies, or to have operational processes flow better through the system," Dietsche explains.

Providers also participate in that process, he says. Some initiatives take longer, but Bellin Health measures its performance against those results every month.

"We report that information at a minimum every month to our leadership group, and on a monthly or semi-bimonthly basis to our finance committee and, ultimately, to our board of directors," Dietsche explains. "It has led to successful results."

Growing financial challenges

As with most hospitals and healthcare systems, Bellin Health is facing several tough financial challenges, not the least of which is the cost of labor and the scarcity of talent. Staffing is absolutely challenge number one, Dietsche says.

"Our volumes continue to remain elevated, particularly in the hospital setting," he says. "So, we just need more clinical staff. Fortunately, we have a college that trains nurses and imaging techs and those kinds of [staff], and that helps a lot. But we need more. And it’s not like we can move workforce from one care-type setting to another."

"We’ve had some of our competitors increase labor rates significantly, so we have to compete with that," Dietsche says. "So labor is a challenge. And when roughly 60% of your expense base is focused on labor or labor-related benefits, it is hard to be effective in lowering the cost of care."

Fortunately, the health system’s reputation with the public goes a long way toward recruiting and retaining workers, and that saves money in the long run.

"We’re rooted in our community, we’re rooted in our values, and we have generally done a good job of retaining and attracting talent. We were just named a best place to work by U.S. News & World Report," Dietsche says.

In terms of revenue diversification, Bellin Health is expanding its base of partners that provide complementary care and services.

"We don’t provide every service to the people that we serve, so we have to partner," Dietsche says. "End-of-life care is an example. We have a partnership with our competitor in Unity Hospice."

"From our perspective, revenue diversification means that if people need healthcare services, and we offer that service, we want people to utilize our service. But when I say ‘our service,’ it could be from the network of providers that we have partnered with.

Bellin Health is also looking to grow its number of patients by providing complementary services to its clinical care. Along those lines, the health system has entered the insurance business through a small partnership. The expectation is that Bellin Health will be able to provide insurance at lower premiums as a care provider as well.

Better data is key for driving better business and clinical decisions

Ultimately, quality data collection is at the heart of success. Bellin Health depends on trustworthy data to drive decisions on what new services to provide, which ones to cut, which site should host what services, what tools and resources care providers need, which potential partners are worth pursuing, and how the quality of patient care is affected by each investment.

The health system is making several technology tool investments as well, especially around patient engagement.

"We’ve implemented things like chatbots, and we’re looking at other technology projects as well," Dietsche says. "We have a digital access tool to make it easier for the patient to either navigate the system or interact with the organization."

Bellin Health is just starting to use digital therapeutics, and it will use the same criteria outlined above to gauge its desired levels of investment.

"As we start implementing some of the digital therapeutics, we want to know with each, what’s the level of convenience for the patient, how effective is it, what is the clinical quality value that we expect to see, and what’s the return on investment?" says Dietsche.

In the meantime, Bellin Health has also invested in a couple of healthcare digital tool manufacturers.

"Both of those organizations are on the cutting edge in terms of looking at utilization of those tools to incorporate into our daily work. Providing more care, via digital technology or video visits, are the things that we’re investing in right now. Those digital access tools make it easier for patients to navigate our system," Dietsche says.

Collaborate to ensure success

Success with these initiatives requires an all-hands-on-deck approach. It is especially important to have executive support and to bring the business and technology sides together, Dietsche notes.

"We have learned that you can’t take a strategy road map forward without bringing the leaders on the clinical side together with the business groups and your information technology staff. You need to bring all three groups together to understand what the road map should look like," Dietsche stresses.

"If you don’t, there can be competing differences. We learned that quickly," Dietsche says. "Also, anything related to digital capability or digital technology has to fit in with our organizational strategic objectives. If they don’t, they’re not going to go forward. It’s plain and simple."

Ultimately, the discipline around creating a financial road map to navigate tough times is no different than pitching any other project.

If you’re going to implement digital therapeutics, for example, you need to be able to stand in front of the leadership team or the finance committee and articulate what they’re being asked to invest in, Dietsche says.

"They are ultimately the owners of those programs, so you get them engaged right away. Explain what your road map goals hope to accomplish, what they are in reaction to, what they can do to Improve business processes and healthcare decisions, and once implemented, what the overall results will be."

If these points are properly explained, business, financial, and clinical leaders will be supportive, Dietsche says.

Photo credit: Pictured: James Dietsche, CFO at Bellin Health in Greenbay, Wisconsin. Photo by: Mike Roemer/Getty Images.

Mon, 08 Aug 2022 05:00:00 -0500 en text/html https://www.healthleadersmedia.com/finance/your-financial-road-map-uncertain-future
Killexams : Self Service Bi Market Size, Share, Emerging Trends, Product Type, Future Growth, Revenue Analysis, Demand Forecast, Leading Key Players 2021-2030

The MarketWatch News Department was not involved in the creation of this content.

Jul 27, 2022 (AmericaNewsHour) -- Key Companies Covered in the Self Service Bi Market Research Report Are Microsoft Corporation, IBM, Oracle Corporation, SAP SE, SAS, and other key market players.           

CRIFAX added a report on 'Global Self Service Bi Market, 2021-2030' to its database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, exact trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.

Access Full Report, here:- https://www.crifax.com/sample-request-1002304

The increasing number of innovations and advancements in technology globally has provided various business opportunities and is predicted to drive the growth of the market over the forecast period (2021-2030). The introduction of 5G accompanied by other technologies such as digital reality comprising of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) or the fast growing Internet of Things (IoT) are setting new trends for the continuously evolving IT & Telecom industry. The total number of cellular IoT connections are anticipated to reach 3.4 billion by 2023. The global Self Service Bi market is estimated to attain noticeable growth over the next 6-7 years, owing to digital transformation taking place across several services such as R&D & Testing, Information Technology (IT), Telecom and Internet. The Information & Communication Technology (ICT) goods exports recorded a growth of 11.51% in 2017 as against 11.20% in 2016. Through 5G connection, about one billion enhanced mobile broadband subscriptions are anticipated to be covered by 2023.

This Report covers about :

  • Historical data
  • Revenue forecasts, CAGR and growth rates up to 2030
  • Industry Analysis
  • Competitive Analysis
  • Key geographic growth data
  • In-depth profiling of Key Player's Companies 

Access Full Report, here:- https://www.crifax.com/sample-request-1002304

The global Self Service Bi market is anticipated to observe noteworthy growth in the forthcoming years, owing to increasing investments by ICT and Telecom industries in research and development activities associated with digital transformation. The United States of America is anticipated to remain as the largest telecom market and Asia Pacific is anticipated to attain highest market share in telecom sector. World Development Indicators (WDI) has placed China at the top of the rankings among the various nations according to Purchasing Power Parity (PPP), which holds 19.38% of the world's GDP as of 2018. According to Canadian Radio-Television and Telecommunications Commission (CRTC), the Canadian telecom industry achieved a growth rate of 3.2% from 2016-2017 generating revenues of USD 38.79 billion in 2017, on account of improvement in data usage through both fixed internet as well as mobile services. Fixed internet services had an average growth rate of 7.0% by attaining revenues of USD 8.87 billion between 2016 and 2017, whereas mobile segment achieved a growth rate of 5.4% to garner revenues of USD 19.9 billion in 2017. All these factors are anticipated to drive the growth of the market over the forecast period.

To provide better understanding of internal and external marketing factors, the multi-dimensional analytical tools such as SWOT and PESTEL analysis have been implemented in the global Self Service Bi market report. Moreover, the report consists of market segmentation, CAGR (Compound Annual Growth Rate), BPS analysis, Y-o-Y growth (%), Porter's five force model, absolute $ opportunity and anticipated cost structure of the market.

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CRIFAX is driven by integrity and commitment to its clients and provides cutting-edge marketing research and consulting solutions with a step-by-step guide to accomplish their business prospects. With the help of our industry experts having hands on experience in their respective domains, we make sure that our industry enthusiasts understand all the business aspects relating to their projects, which further improves the consumer base and the size of their organization. We offer wide range of unique marketing research solutions ranging from customized and syndicated research reports to consulting services, out of which, we update our syndicated research reports annually to make sure that they are modified according to the latest and ever-changing technology and industry insights. This has helped us to carve a niche in delivering 'distinctive business services' that enhanced our global clients' trust in our insights and helped us to outpace our competitors as well.

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The post Self Service Bi Market Size, Share, Emerging Trends, Product Type, Future Growth, Revenue Analysis, Demand Forecast, Leading Key Players 2021-2030 appeared first on America News Hour.

COMTEX_411078775/2606/2022-07-27T10:38:05

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Wed, 27 Jul 2022 02:38:00 -0500 en-US text/html https://www.marketwatch.com/press-release/self-service-bi-market-size-share-emerging-trends-product-type-future-growth-revenue-analysis-demand-forecast-leading-key-players-2021-2030-2022-07-27
Killexams : How online shopping has changed during COVID-19

Chances are good that how you shop has changed significantly during the COVID-19 pandemic. That’s not just because people were stuck at home during lockdowns or transitioned to work from home. It’s also because they were increasingly seeking novelty in their products, changing brands for what was newer and more inexpensive. They were trying out more products in augmented reality before adding them to their cart, from earrings and eye shadow to new couches.

To track how our buying habits changed, Cheap Insurance collected information from a variety of government and industry sources to examine how the pandemic has impacted online shopping.

According to the Census Bureau’s Annual Retail Trade Survey (published April 2022), e-commerce generated more than $800 billion in sales in 2020, boosted partly by a huge increase in online grocery orders. Meanwhile, clothing stores saw some of the biggest plummets in revenue, losing more than 25% of sales between 2019 and 2020, Some people may have put on office-appropriate tops for their Zoom calls, but the rest were keeping our cameras off in pajamas or athleisure. Plus, people who reported in to work as essential workers were more likely to rely on uniforms or specialized clothing like scrubs that aren’t part of the general clothing market.

Continue studying to learn 10 ways COVID-19 has changed online shopping.

E-commerce sales grew by 43% during 2020

The Annual Retail Trade Survey examines the state of retail sales, both online and at traditional points of sale. The umbrella term “e-commerce” includes all transactions online that correspond with goods or services delivered in real life, plus all the infrastructure (like internet marketing) that supports those transactions. It makes sense that people turned to e-commerce during the most locked-down year of the pandemic in the U.S., increasing these sales by an astonishing 43% in one year. People especially turned to e-commerce for things like grocery shopping and restaurant ordering that were typically more “offline.” At the same time, some industries suffered, like gas stations, bookstores, and clothing retailers.

Globally, people began shopping online more, but spending less

An October 2020 survey from the United Nations Conference of Trade and Development found that, between March and June 2020, online purchases increased by 6 to 10 percentage points across most product categories. However, average online monthly spending per shopper dropped markedly. Overall, Americans lost income stability and some percentage of their income during the pandemic. They may have been pushed to purchase things like groceries online if possible, but that doesn’t mean they felt confident spending as much as they did before. Those trends seem to be true worldwide as well.

Online grocery shopping took off

Many other industries could fall away as nonessential during a crisis, but people still always need to eat. Grocery stores pivoted pretty quickly into pandemic mode, offering full delivery through third-party services like Instacart as well as hybrid options like curbside pickup. According to August 2021 estimates from Insider Intelligence, online grocery shopping spiked 63.9% in 2020, 12.3% in 2021, and will grow another 20.5% in 2022. In 2021, for the first time ever, more than half the U.S. population bought groceries online, per Insider Intelligence, marking a sea change for the notoriously low-margin grocery industry. Despite food prices increasing amid inflation, it seems some shoppers may stick with online grocery shopping, whether out of convenience or lingering concerns as the pandemic enters a less-acute phase.

More consumers are switching brands

In a survey conducted by McKinsey between February and March 2022, 46% U.S. consumers said they shopped a different brand in 2022 compared to 33% who did so in 2020. One reason is inflation, which has raised prices for almost everything. When money is tight, it makes sense to buy what is cheaper, whether that’s the generic brand of tomato sauce or a new kids’ clothing brand showing up on your Instagram feed. Today, consumers have a more “normal-seeming” selection of brands available as well, now that many of the worst supply chain issues have passed. People are also switching brands in pursuit of novelty to try out something new or different.

Shoppers are testing accessories, furniture, and more with augmented reality

In October 2020, Harvard Business Review reported on some of the ways augmented reality is changing the retail experience online and in stores. Many clothing retailers already offered some form of virtual try-on where a “similar” virtual body was used to model a brand of clothes. Now, others have made the leap to AR, placing images of earrings or beauty products on customers’ faces and ears in situ. It’s also a great way to try out furniture, letting customers simulate where to place a new couch or table in their living room. IBM’s 2020 Retail Index Report found that this kind of technology has moved consumers five years closer to a future anchored in online shopping.

Out-of-stock messages are more common

With supply chain disruptions caused by everything from a lack of dock workers and shipping containers to factory shutdowns, shoppers became all too familiar with “out of stock” notifications on their favorite websites. Shoppers saw 60 billion out-of-stock messages between March 2020 and February 2022, according to Adobe’s Digital Economy Index. The rate of these notifications has increased from 1 in 200 items to 1 in 59. During the height of pandemic panic shopping, photos of empty grocery shelves took over social media. But with the long tail of the supply chain, that phenomenon now stretches into clothing, video games, and much more.

An estimated half of all US adults made a purchase on social media in 2022

Social media platforms like Facebook let users buy some goods directly within their dedicated apps. On TikTok, users can buy through the e-commerce platform Shopify. On Instagram, certain users can sell goods using its proprietary Checkout service. And of course, there are still countless “click the link” and “store in bio” posts across social media, directing users to an account’s proprietary e-commerce site.

People bought a lot more furniture online

People have spent more time in their homes than almost ever before during the last few years. Many have built new home offices and outfitted entire outdoor spaces to shift their activities toward the safety of home. Furniture and home furnishings saw the largest increase in e-commerce sales between 2019 and 2020, increasing by more than $41 billion, according to 2020 data from the U.S. Census Bureau. It’s honestly surprising that any industry saw an increase from 2019 to 2020, when sales across the board were depressed. But this is e-commerce sales of furnishings, not overall sales including stores.

People around the globe plan to keep shopping online

Some in the industry have wondered if pandemic online shopping habits were temporary, caused by obstacles like lockdown. It’s true more shoppers are returning to brick-and-mortar stores, but overall, online shopping has also remained steady. Respondents to a United Nations Conference on Trade and Development survey of around 3,700 consumers in nine rising economies expressed a desire to continue the online shopping habits they formed during the pandemic. That includes shopping from many different retailers, including through social media apps, and a different relationship to brand loyalty than prior to the pandemic.

Omnichannel shopping appears to be the new normal

From the growing body of data, it’s clear that online shopping has reached a new level of influence in Americans’ daily lives. Three in 4 U.S. consumers are interacting with brands through multiple online and in-store channels, according to a McKinsey survey conducted in February and March 2022. There are some ways this could be harmful, especially to businesses like restaurants and neighborhood boutiques that have relied on foot traffic and in-person services. But others, such as grocery stores, have been able to pivot to what consumers need most at a given time. And with in-app shopping on social media as well as AR try-ons, the next generation of online shopping may be unfolding.

This story originally appeared on Cheap Insurance and was produced and distributed in partnership with Stacker Studio.

Tue, 02 Aug 2022 04:16:00 -0500 en-US text/html https://www.fourstateshomepage.com/news/national/how-online-shopping-has-changed-during-covid-19/
Killexams : Global Mobile Virtual Private Network (VPN) Market Expectations and Growth Trends Highlighted Until 2027

The MarketWatch News Department was not involved in the creation of this content.

Aug 03, 2022 (Heraldkeepers) -- Pune, India-Global Mobile Virtual Private Network (VPN) Market Report Organization’s Researcher investigators specialists causes us to deliver our customers an exhaustive and top to bottom examination of Global Mobile Virtual Private Network (VPN) Market or industry alongside its key factors, for example, market diagram and rundown, pieces of the pie, restrictions, drivers, local examination, players, serious elements, division, and considerably more. The Global Mobile Virtual Private Network (VPN) Market information introduced inside this report is acquired dependent on a few strategies, for example, PESTLE, Porter’s Five, SWOT examination, the effect of Coronavirus/Coronavirus updates of Global Mobile Virtual Private Network (VPN) Market, and others.

To Get PDF Copy of Report, Click Here: https://www.reportsweb.com/inquiry&RW00014730497/sample

Key Players: Cisco Systems, Anthasoft, Netmotion Software, Check Point Software Technologies, IBM Corporation, Smith Micro Software, Citrix Gateway, Techstep Technology, Columbitech, TheGreenBow, SonicWall, Pulse Secur, OpenVPN, VMware

This report incorporates the assessment of Global Mobile Virtual Private Network (VPN) Market size for esteem (million USD) and volume (K Units). Both top-down and base up methodologies have been utilized to assess and approve the market size of the Global Mobile Virtual Private Network (VPN) Market, to gauge the Global Mobile Virtual Private Network (VPN) Market size of different other ward submarkets in the general market. Vital participants in the market have been recognized through auxiliary examination, and their pieces of the pie have been resolved through essential and optional exploration. All rate shares split, and breakdowns have been resolved utilizing optional sources and Basic essential sources.

Years to be Considered in this Global Mobile Virtual Private Network (VPN) Market Report:

History Year: 2016-2018

Base Year: 2019

Estimated Year: 2022

Forecast Year: 2022-2027

The purposes of this analysis are:

  1. To characterize, portray, and check the Global Mobile Virtual Private Network (VPN) Market based on product type, application, and region.
  2. To estimate and inspect the size of the Global Mobile Virtual Private Network (VPN) Market (in terms of value) in six key regions, specifically, North and South America, Western Europe, Central & Eastern Europe, the Middle East, Africa, and the Asia-Pacific.
  3. To estimate and inspect the Global Mobile Virtual Private Network (VPN) Markets at country-level in every region.
  4. To strategically investigate every sub-market about personal development trends and its contribution to the Global Mobile Virtual Private Network (VPN) Market.
  5. To look at possibilities in the Global Mobile Virtual Private Network (VPN) Market for shareholder by recognizing excessive-growth segments of the market.

Key Offerings:

Market Size & Forecast by Revenue | 2022�?'2027

Market Dynamics - Leading trends, growth drivers, restraints, and investment opportunities

Market Segmentation - A detailed analysis by product, types, end-user, applications, segments, and geography

Competitive Landscape - Top key vendors and other prominent vendors

Global Mobile Virtual Private Network (VPN) Market Regional and Country-wise Analysis:

North America (U.S., Canada, Mexico)

Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)

Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)

Latin America (Brazil, Rest of Latin America)

The Middle East and Africa (Turkey, GCC, Rest of the Middle East and Africa)

Rest of the World....

Click here to avail lucrative discounts on our latest reports. We offer student, enterprise, and special periodic discounts to our clientele. Please fill the inquiry form below to know more - https://www.reportsweb.com/inquiry&RW00014730497/discount

There are 15 Key Chapters Covered in the Global Mobile Virtual Private Network (VPN) Market:

Section 1, Industry Overview of Global Mobile Virtual Private Network (VPN) Market;

Section 2, Classification, Specifications and Definition of Global Mobile Virtual Private Network (VPN) Market Segment by Regions;

Section 3, Industry Suppliers, Manufacturing Process and Cost Structure, Chain Structure, Raw Material;

Section 4, Specialized Information and Manufacturing Plants Analysis of Global Mobile Virtual Private Network (VPN) Market, Limit and Business Production Rate, Manufacturing Plants Distribution, R&D Status, and Technology Sources Analysis;

Section 5, Complete Market Research, Capacity, Sales and Sales Price Analysis with Company Segment;

Section 6, Analysis of Regional Market that contains the United States, Europe, India, China, Japan, Korea and Taiwan;

Section 7 and 8, Global Mobile Virtual Private Network (VPN) Market Analysis by Major Manufacturers, The Global Mobile Virtual Private Network (VPN) Market Segment Market Analysis (by Type) and (by Application);

Section 9, Regional Market Trend Analysis, Market Trend by Product Type and by Application:

Section 10 and 11, Supply Chain Analysis, Regional Marketing Type Analysis, Global Trade Type Analysis;

Section 12, The Global Mobile Virtual Private Network (VPN) Market industry customers Analysis;

Section 13, Research Findings/Conclusion, Global Mobile Virtual Private Network (VPN) Market bargains channel, merchants, wholesalers, vendors examination;

Section 14 and 15, Appendix and information wellspring of Global Mobile Virtual Private Network (VPN) Market.

Market share assessments for the regional and country-level segments.

Supply chain trends mapping the latest technological advancements.

Strategic recommendations for the new entrants.

Market share analysis of the top industry players.

Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations).

Company profiling with detailed strategies, financials, and exact developments.

Competitive landscaping mapping the key common trends.

Strategic recommendations in key business segments based on market estimations.

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COMTEX_411497054/2582/2022-08-03T08:06:16

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Wed, 03 Aug 2022 00:06:00 -0500 en-US text/html https://www.marketwatch.com/press-release/global-mobile-virtual-private-network-vpn-market-expectations-and-growth-trends-highlighted-until-2027-2022-08-03
Killexams : The 13 Largest US Tech Startup Funding Rounds of July 2022

Armed with some data from our friends at CrunchBase, I broke down the largest US startup funding rounds from July 2022. I have included some additional information such as industry, company description, round type, founders, and total equity funding raised to further the analysis.


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



13. Tecton $100.0M

Round: Series C
Description: San Francisco-based Tecton provides an enterprise-ready feature store to make machine learning accessible to every company. Founded by Jeremy Hermann, Kevin Stumpf, and Mike Del Balso in 2019, Tecton has now raised a total of $160.0M in total equity funding and is backed by Sequoia Capital, Andreessen Horowitz, Lux Capital, Tiger Global Management, and SV Angel.
Investors in the round: Andreessen Horowitz, Bain Capital Ventures, Databricks Ventures, Kleiner Perkins, Sequoia Capital, Snowflake Ventures, Tiger Global Management
Industry: Analytics, Artificial Intelligence, Machine Learning, Predictive Analytics
Founders: Jeremy Hermann, Kevin Stumpf, Mike Del Balso
Founding year: 2019
Location: San Francisco
Total equity funding raised: $160.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



13. FlexGen $100.0M

Round: Series C
Description: Durham-based FlexGen develops storage solutions and software that focuses on today’s energy transition. Founded by Josh Prueher in 2009, FlexGen has now raised a total of $275.5M in total equity funding and is backed by Apollo, Vitol, Altira Group, Caterpillar Ventures, and G Ventures.
Investors in the round: Vitol
Industry: Battery, Energy Storage, Renewable Energy, Semiconductor, Software
Founders: Josh Prueher
Founding year: 2009
Location: Durham
Total equity funding raised: $275.5M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



13. Kitchen United $100.0M

Round: Series C
Description: Pasadena-based Kitchen United offers a turnkey solution for restaurant brands to profitably expand. Founded by Harry Tsao, John Miller, and Massimo Noja De Marco in 2017, Kitchen United has now raised a total of $150.0M in total equity funding and is backed by B. Riley Venture Capital, Kroger, GV, G Squared, and Fidelity.
Investors in the round: Alimentation Couche-Tard, Inc., B. Riley Venture Capital, Cali Group, DivcoWest, Fidelity Canada, General Global Capital, GoldenArc Capital, GV, Harry Tsao, HAVI, John Miller, Kroger, Michael Montagano, Peyton Manning, Phillips Edison & Company, Restaurant Brands International, Rich Products Ventures, RXR Realty, Simon Property Group
Industry: E-Commerce, Food and Beverage, Information Technology, Restaurants
Founders: Harry Tsao, John Miller, Massimo Noja De Marco
Founding year: 2017
Location: Pasadena
Total equity funding raised: $150.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



12. Merlin Labs $105.0M

Round: Series B
Description: Boston-based Merlin Labs develops hardware and software solutions that deliver the capability for aircraft to fly useful missions autonomously. Founded by Matt George in 2018, Merlin Labs has now raised a total of $133.5M in total equity funding and is backed by GV, BoxGroup, Floodgate, Bling Capital, and Baillie Gifford.
Investors in the round: Baillie Gifford, First Round Capital, GV, JS Capital, Snowpoint Ventures
Industry: Air Transportation, Information Technology, Software, Transportation
Founders: Matt George
Founding year: 2018
Location: Boston
Total equity funding raised: $133.5M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



11. May Mobility $111.0M

Round: Series C
Description: Ann Arbor-based May Mobility is building a better autonomy system to transform cities and safely move the world to a greener, more accessible future. Founded by Alisyn Malek, Edwin Olson, and Steve Vozar in 2017, May Mobility has now raised a total of $194.6M in total equity funding and is backed by Y Combinator, Toyota Motor, Palm Drive Capital, SV Angel, and Toyota Ventures.
Investors in the round: 1843 Capital, Bay Lake Ventures, BMW i Ventures, Cyrus Capital Partners, Millennium Technology Value Partners, Mirai Creation Fund, State Farm Ventures, Tokio Marine, Toyota Tsusho, Toyota Ventures
Industry: Automotive, Autonomous Vehicles, Public Transportation, Software, Travel
Founders: Alisyn Malek, Edwin Olson, Steve Vozar
Founding year: 2017
Location: Ann Arbor
Total equity funding raised: $194.6M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



10. SingleStore $116.0M

Round: Series F
Description: San Francisco-based SingleStore is a provider of a database for operational analytics and cloud-native applications. Founded by Adam Prout, Eric Frenkiel, and Nikita Shamgunov in 2011, SingleStore has now raised a total of $384.1M in total equity funding and is backed by Hercules Capital, Insight Partners, Y Combinator, GV, and Accel.
Investors in the round: Dell Technologies Capital, Goldman Sachs Asset Management, GV, Hewlett Packard Enterprise, IBM Ventures, Insight Partners, Sanabil
Industry: Analytics, Big Data, Cloud Data Services, Database, Enterprise Software
Founders: Adam Prout, Eric Frenkiel, Nikita Shamgunov
Founding year: 2011
Location: San Francisco
Total equity funding raised: $384.1M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



9. Flexe $119.0M

Round: Series D
Description: Seattle-based Flexe delivers omnichannel logistics programs for eCommerce fulfillment, retail distribution, same-day delivery, and network capacity. Founded by Edmond Yue, Francis Duong, and Karl Siebrecht in 2013, Flexe has now raised a total of $263.0M in total equity funding and is backed by Alumni Ventures, Tiger Global Management, BlackRock, Madrona Venture Group, and Acequia Capital (AceCap).
Investors in the round: Activate Capital Partners, Balius Partners, BlackRock, Ischyros New York, Madrona Venture Group, Prologis Ventures, Redpoint, T. Rowe Price, Tiger Global Management
Industry: Cloud Computing, E-Commerce, Logistics, Supply Chain Management, Warehousing
Founders: Edmond Yue, Francis Duong, Karl Siebrecht
Founding year: 2013
Location: Seattle
Total equity funding raised: $263.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



8. ClassDojo $125.0M

Round: Series D
Description: San Francisco-based ClassDojo is a school communication platform that teachers, students, and families use to build close-knit communities. Founded by Liam Don and Sam Chaudhary in 2011, ClassDojo has now raised a total of $191.1M in total equity funding and is backed by Tencent, General Catalyst, Reach Capital, Kapor Capital, and Lerer Hippeau.
Investors in the round: Adams Street Partners, Tencent
Industry: Apps, E-Learning, EdTech, Education, Knowledge Management, Software
Founders: Liam Don, Sam Chaudhary
Founding year: 2011
Location: San Francisco
Total equity funding raised: $191.1M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



7. Source $130.0M

Round: Series D
Description: Tempe-based Source is a developer and manufacturer of solar-powered devices designed to extract drinkable water from the atmosphere. Founded by Cody Friesen in 2014, Source has now raised a total of $364.4M in total equity funding and is backed by Fifth Wall, BlackRock, Material Impact Fund, Breakthrough Energy Ventures, and Microsoft Climate Innovation Fund.
Investors in the round: BlackRock, Breakthrough Energy Ventures, Duke Energy Corporation, Fifth Wall, Harvard Management Company, Material Impact Fund, Microsoft Climate Innovation Fund, Monashee Capital Corp., The Drawdown Fund, The Lightsmith Group, WIND Ventures
Industry: Environmental Engineering, Manufacturing, Renewable Energy, Water, Water Purification
Founders: Cody Friesen
Founding year: 2014
Location: Tempe
Total equity funding raised: $364.4M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



6. Meati Foods $150.0M

Round: Series C
Description: Boulder-based Meati Foods is a consumer goods company that provides fungi-based meat alternatives to everyone. Founded by Justin Whiteley and Tyler Huggins in 2016, Meati Foods has now raised a total of $233.0M in total equity funding and is backed by Cultivate Next, Trinity Capital, National Science Foundation, US Department of Energy, and Wellington Management.
Investors in the round: Canada Pension Plan Investment Board, Chipotle Mexican Grill, Cultivate Next, Grosvenor Food & AgTech, Revolution Growth, Wellington Management
Industry: Consumer Goods, Food and Beverage, Food Processing
Founders: Justin Whiteley, Tyler Huggins
Founding year: 2016
Location: Boulder
Total equity funding raised: $233.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



6. Aptos $150.0M

Round: Series A
Description: Palo Alto-based Aptos is a web3 startup that builds a scalable Layer 1 blockchain. Founded by Avery Ching and Mohammad Shaikh in 2021, Aptos has now raised a total of $350.0M in total equity funding and is backed by Apollo, Andreessen Horowitz, Tiger Global Management, BlockTower Capital, and Jump Crypto.
Investors in the round: Andreessen Horowitz, Apollo, Circle Ventures, Franklin Templeton Investments, FTX Ventures, Griffin Gaming Partners, Jump Crypto, Multicoin Capital, Oak HC/FT, ParaFi Capital, Superskrypt
Industry: Blockchain, FinTech, Information Technology
Founders: Avery Ching, Mohammad Shaikh
Founding year: 2021
Location: Palo Alto
Total equity funding raised: $350.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



5. Everside Health $164.0M

Round: Venture
Description: Denver-based Everside Health is a direct primary care provider offering convenient on-site, near-site, and virtual care for its members. Founded by Rebecca Steinfort in 2010, Everside Health has now raised a total of $329.0M in total equity funding and is backed by Endeavor Catalyst, New Enterprise Associates, Greenspring Associates, Oak HC/FT, and Alta Partners.
Investors in the round: Alta Partners, Endeavor Catalyst, New Enterprise Associates, Oak HC/FT
Industry: Health Care, Hospital, Medical, Personal Health
Founders: Rebecca Steinfort
Founding year: 2010
Location: Denver
Total equity funding raised: $329.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



4. Cleerly $223.0M

Round: Series C
Description: New York-based Cleerly is a digital healthcare company that offers heart disease diagnosis solutions. Founded by James K. Min in 2017, Cleerly has now raised a total of $280.5M in total equity funding and is backed by Novartis, Breyer Capital, T. Rowe Price, Fidelity Management and Research Company, and Sands Capital Ventures.
Investors in the round: Breyer Capital, Cigna Ventures, DigiTx Partners, Fidelity Management and Research Company, LRVHealth, Mirae Asset Capital, New Leaf Ventures, Novartis, Peter Thiel, Piper Heartland Healthcare Capital, Sands Capital Ventures, T. Rowe Price, Vensana Capital
Industry: Apps, Artificial Intelligence, Health Care, Medical, Wellness
Founders: James K. Min
Founding year: 2017
Location: New York
Total equity funding raised: $280.5M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



3. TAE Technologies $250.0M

Round: Series G
Description: Foothill Ranch-based TAE Technologies is leveraging proprietary science and engineering to tackle the world’s biggest challenges. Founded by Glenn Seaborg, Hendrik Monkhorst, and Norman Rostoker in 1998, TAE Technologies has now raised a total of $1.2B in total equity funding and is backed by Google, Wellcome Trust, Vulcan Capital, New Enterprise Associates, and Chevron Technology Ventures.
Investors in the round: Chevron Technology Ventures, Google, Reimagined Ventures, Sumitomo Corporation of America, TIFF Investment Management
Industry: Clean Energy, CleanTech, Energy, Energy Management, Renewable Energy
Founders: Glenn Seaborg, Hendrik Monkhorst, Norman Rostoker
Founding year: 1998
Location: Foothill Ranch
Total equity funding raised: $1.2B


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



3. Coalition $250.0M

Round: Series F
Description: San Francisco-based Coalition is a cyber insurance and security company that helps businesses manage and mitigate cyber risks. Founded by John Hering and Joshua Motta in 2017, Coalition has now raised a total of $755.0M in total equity funding and is backed by Valor Equity Partners, Index Ventures, Hillhouse Capital Group, T. Rowe Price, and General Atlantic.
Investors in the round: Allianz X, Kinetic Partners, Valor Equity Partners
Industry: Cyber Security, Information Technology, Insurance, Risk Management
Founders: John Hering, Joshua Motta
Founding year: 2017
Location: San Francisco
Total equity funding raised: $755.0M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



2. Whatnot $260.0M

Round: Series D
Description: Marina Del Rey-based Whatnot is a live stream platform and marketplace that enables collectors and enthusiasts to connect, buy, and sell Verified products. Founded by Grant LaFontaine and Logan Head in 2019, Whatnot has now raised a total of $484.7M in total equity funding and is backed by Andreessen Horowitz, Y Combinator, Operator Partners, Bond, and CapitalG.
Investors in the round: Andreessen Horowitz, Bond, CapitalG, DST Global, Y Combinator Continuity Fund
Industry: Collectibles, E-Commerce, Marketplace, Trading Platform
Founders: Grant LaFontaine, Logan Head
Founding year: 2019
Location: Marina Del Rey
Total equity funding raised: $484.7M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.



1. EnergyX $450.0M

Round: Venture
Description: Fort Lauderdale-based EnergyX is a clean technology company that optimizes the lithium extraction process. Founded by Teague Egan in 2018, EnergyX has now raised a total of $474.5M in total equity funding and is backed by The Global Emerging Markets Group, The University of Texas at Austin, Mirza Canada, Helios Capital, and Weclikd.
Investors in the round: The Global Emerging Markets Group
Industry: Chemical Engineering, Environmental Engineering, Renewable Energy
Founders: Teague Egan
Founding year: 2018
Location: Fort Lauderdale
Total equity funding raised: $474.5M


The TechWatch Media Group audience is driving progress and innovation on a global scale. With its regional media properties (NYC Tech, LA Tech, London Tech, Paris Tech, Boston Tech) TechWatch Media Group is the highway for technology and entrepreneurship. There are a number of options to reach this audience of the world’s most innovative organizations and startups at scale including developing prominent brand placement, driving demand generation, and building thought leadership among the vast majority of key influencers in the global business community and beyond. Find out how to run a digital campaign that will return your investment here.


Wed, 03 Aug 2022 02:27:00 -0500 Reza Chowdhury en-US text/html https://www.alleywatch.com/2022/08/us-startup-funding-top-largest-july-2022-vc/
Killexams : The Linux Foundation Announces Keynote Speakers for Open Source Summit Europe 2022

Global visionaries headline the premier open source event in Europe to share on OSS adoption in Europe, driving the circular economy, finding inspiration through the pandemic, supply chain security and more.

SAN FRANCISCO, Aug. 4, 2022 /PRNewswire/ -- The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the keynote speakers for Open Source Summit Europe, taking place September 13-16 in Dublin, Ireland. The event is being produced in a hybrid format, with both in-person and virtual participation available, and is co-located with the Hyperledger Global Forum, OpenSSF Day, Linux Kernel Maintainer Summit, KVM Forum, and Linux Security Summit, among others.

Open Source Summit Europe is the leading conference for developers, sys admins and community leaders – to gather to collaborate, share information, gain insights, solve technical problems and further innovation. It is a conference umbrella, composed of 13 events covering the most important technologies and issues in open source including LinuxCon, Embedded Linux Conference, OSPOCon, SupplyChainSecurityCon, CloudOpen, Open AI + Data Forum, and more. Over 2,000 are expected to attend.

2022 Keynote Speakers Include:

  • Hilary Carter, Vice President of Research, The Linux Foundation
  • Bryan Che, Chief Strategy Officer, Huawei; Cloud Native Computing Foundation Governing Board Member & Open 3D Foundation Governing Board Member
  • Demetris Cheatham, Senior Director, Diversity, Inclusion & Belonging Strategy, GitHub
  • Gabriele Columbro, Executive Director, Fintech Open Source Foundation (FINOS)
  • Dirk Hohndel, Chief Open Source Officer, Cardano Foundation
  • Ross Mauri, General Manager, IBM LinuxONE
  • Dušan Milovanović, Health Intelligence Architect, World Health Organization
  • Mark Pollock, Explorer, Founder & Collaborator
  • Christopher “CRob” Robinson, Director of Security Communications, Product Assurance and Security, Intel Corporation
  • Emilio Salvador, Head of Standards, Open Source Program Office, Google
  • Robin Teigland, Professor of Strategy, Management of Digitalization, in the Entrepreneurship and Strategy Division, Chalmers University of Technology; Director, Ocean Data Factory Sweden and Founder, Peniche Ocean Watch Initiative (POW)
  • Linus Torvalds, Creator of Linux and Git
  • Jim Zemlin, Executive Director, The Linux Foundation

Additional keynote speakers will be announced soon.

Registration (in-person) is offered at the price of US$1,000 through August 23. Registration to attend virtually is $25. Members of The Linux Foundation receive a 20 percent discount off registration and can contact events@linuxfoundation.org to request a member discount code.

Health and Safety

In-person attendees will be required to show proof of COVID-19 vaccination or provide a negative COVID-19 test to attend, and will need to comply with all on-site health measures, in accordance with The Linux Foundation Code of Conduct. To learn more, visit the Health & Safety webpage.

Event Sponsors

Open Source Summit Europe 2022 is made possible thanks to our sponsors, including Diamond Sponsors: AWS, Google and IBM, Platinum Sponsors: Huawei, Intel and OpenEuler, and Gold Sponsors: Cloud Native Computing Foundation, Codethink, Docker, Mend, NGINX, Red Hat, and Styra. For information on becoming an event sponsor, click here or email us.

Press

Members of the press who would like to request a press pass to attend should contact Kristin O’Connell.

ABOUT THE LINUX FOUNDATION

Founded in 2000, the Linux Foundation and its projects are supported by more than 2,950 members. The Linux Foundation is the world’s leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects are critical to the world’s infrastructure including Linux, Kubernetes, Node.js, ONAP, Hyperledger, RISC-V, and more. The Linux Foundation’s methodology focuses on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at https://linuxfoundation.org/.

The Linux Foundation Events are where the world’s leading technologists meet, collaborate, learn and network in order to advance innovations that support the world’s largest shared technologies.

Visit our website and follow us on Twitter, LinkedIn, and Facebook for all the latest event updates and announcements.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see its trademark usage page: www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Media Contact
Kristin O’Connell
The Linux Foundation
koconnell@linuxfoundation.org

View original content to obtain multimedia: https://www.prnewswire.com/news-releases/the-linux-foundation-announces-keynote-speakers-for-open-source-summit-europe-2022-301599735.html

SOURCE The Linux Foundation

Wed, 03 Aug 2022 19:00:00 -0500 en text/html https://apnews.com/press-release/pr-newswire/technology-philanthropy-b6d54d35576f14b712f2b3549a39eb42
Killexams : Pyongyang's [un]H0lyGh0st. Devlopments in the criminal underworld. $10m for troll-farmer info. Hacktivism in a hybrid war.

Dateline Moscow and Kyiv: A shift in momentum during an operational pause.

Ukraine at D+155: A shift in momentum? (The CyberWire) Russia's difficulties filling its depleted ranks (down nearly 50%, the US Intelligence Community is said to have told Congress) and its inability to advance (during what looks more like exhaustion and neutralization than it does operational pause) appear to have given Ukraine an opportunity to take back the initiative in the North, East, and, especially, the South. A look at hacktivism in the Ukrainian interest.

Russia-Ukraine war: List of key events, day 156 (Al Jazeera) As the Russia-Ukraine war enters its 156th day, we take a look at the main developments.

Russia-Ukraine war latest: what we know on day 156 of the invasion (the Guardian) Ukraine steps up campaign to retake Russian-controlled regions in south; Kyiv accuses Russia of a war crime over the deaths of more than 40 prisoners of war

Ukraine steps up counteroffensive against Russian forces (Al Jazeera) Ukrainian officials say campaign to retake parts of Kherson, Zaporizhia oblasts has begun, urging civilians to leave.

Russia-Ukraine war: Zelenskiy says grain exports ready to start; Kyiv and Moscow both launch investigations into PoW deaths – live (the Guardian) Ukraine’s president says Black Sea ports ready to export grain; Kyiv calls on world leaders to condemn Russia over attack that led to death of 40 PoWs

Ukraine could be turning the tide of war again as Russian advances stall (Washington Post) Russian advances in Ukraine have slowed almost to a standstill as newly delivered Western weapons help Ukrainian forces reclaim much of the advantage they had lost in exact months, opening a window of opportunity to turn the tide of the war in their favor again.

Ukraine war: Russian Kalibr cruise missiles strike military base near Kyiv (The Telegraph) Russian forces have struck a military base north of the capital Kyiv, Ukraine has said in a rare admission of a successful attack by Moscow on its military infrastructure.

Northern Ukraine Comes Under Burst of Russian Attacks Far From Front Lines (Wall Street Journal) Missiles and rockets rained down on northern Ukraine, marking the first time in weeks that the Kyiv region, far from the fighting in the country’s east and south, has been hit.

Ukraine war: West's modern weapons halt Russia's advance in Donbas (BBC News) Ukrainian soldiers credit the arrival of modern Western weapons for a sharp fall in Russia's attacks.

‘Half of Russian troops’ sent into Ukraine have been killed or injured (The Telegraph) According to US intelligence, casualties have rocketed to more than 75,000 – a loss equivalent to almost the entire British Army

Russia, Ukraine trade blame for deadly attack on POW prison (AP NEWS) Russia and Ukraine accused each other Friday of shelling a prison in a separatist region of eastern Ukraine, an attack that reportedly killed dozens of Ukrainian prisoners of war who were captured after the fall of a key southern city in May.

The Kremlin’s Plans to Annex Southeastern Ukraine Go into Effect (Wilson Center) After five months of all-out war, the Kremlin appears to have refined its plans for the future of the temporarily occupied territories in southeastern Ukraine.

Climbing the escalation ladder in Ukraine: A menu of options for the West (Atlantic Council) Our experts have assembled a list of possible policy responses the West ought to consider if Russia escalates its war against Ukraine.

Cascading Impacts of the War in Ukraine: Mental, Maternal, and Newborn Health (New Security Beat) This article was originally published as part of the summer 2022 issue of the Wilson Quarterly: Ripples of War.Ukraine and its people will feel the effects of the Russian invasion for years to [...]

Long Read: Russian Youth against War (Wilson Center) Young Russians strongly oppose the war in Ukraine. It is increasingly clear to them that the war is stealing their future and was started only to keep Vladimir Putin, his friends, and their heirs in power for as long as possible.

WSJ News Exclusive | New Group to Promote Open-Source Intelligence, Seen as Vital in Ukraine War (Wall Street Journal) A group of ex-U.S. national security officials has formed a professional association to promote the tradecraft of ‘open-source’ intelligence, the analysis of publicly available data that has helped Western powers understand and track Russia’s war on Ukraine.

Why Russia’s War in Ukraine Is a Genocide (Foreign Affairs) It’s not just a land grab, but a bid to expunge a nation.

Putin believed his own propaganda and fatally underestimated Ukraine (Atlantic Council) Russian President Vladimir Putin likes to pose as an unrivalled expert on Ukrainian history and identity politics. However, it is now apparent that his understanding of Ukraine has been hopelessly distorted by the wishful thinking of his own propaganda. When the Russian dictator gave the order to invade Ukraine five months ago, he seems to have genuinely believed his army would be met with cakes and flowers by a grateful population. Instead, he has plunged Russia into a disastrous war and turned his country’s closest neighbour into an implacable enemy.

Long Read: Russian Youth against War (Wilson Center) Young Russians strongly oppose the war in Ukraine. It is increasingly clear to them that the war is stealing their future and was started only to keep Vladimir Putin, his friends, and their heirs in power for as long as possible.

The Paradoxes of Escalation in Ukraine (Foreign Affairs) Slowly but surely, Russia and the West are drawing their redlines.

Climbing the escalation ladder in Ukraine: A menu of options for the West (Atlantic Council) Our experts have assembled a list of possible policy responses the West ought to consider if Russia escalates its war against Ukraine.

Can Putin Survive? (Foreign Affairs) The lessons of the Soviet collapse.

Is Viktor Orban right about the Ukraine war? (The Telegraph) The Hungarian leader's call for peace may make sense for Hungary now - but long-term it would cripple his country and the West

Putin 'embarrassed' as hackers launch cyber war on Russian President over Ukraine invasion (Express.co.uk) HACKERS are targeting and "embarrassing" Vladimir Putin in a bid to crush the Russian cybersecurity regime as it continues to wage its illegal war on Ukraine.

Is Anonymous Rewriting the Rules of Cyberwarfare? Timeline of Their Attacks Against the Russian Government (Website Planet) Jeremiah Fowler, together with the Website Planet research team, took an in depth look at how the hacker collective has changed the landscape of what

Ukraine’s tech excellence is playing a vital role in the war against Russia (Atlantic Council) Russia’s invasion of Ukraine is now in its sixth month with no end in sight to what is already Europe’s largest conflict since WWII. In the months following the outbreak of hostilities on February 24, the courage of the Ukrainian nation has earned admiration around the world. Many international observers are encountering Ukraine for the first time and are learning that in addition to their remarkable resilience, Ukrainians are also extremely innovative with high levels of digital literacy.

Russia’s pulling the plug on space cooperation. Should the world be worried? (Atlantic Council) Our experts break down Moscow’s extraplanetary plans after it pulls out of the International Space Station.

Crops ‘Stored Everywhere’: Ukraine’s Harvest Piles Up (New York Times) Farmers who have lived under the risk of Russian missile attacks have their doubts about an international agreement to ease a blockade on grain shipments through the Black Sea.

Ukraine to double energy exports amid Russian gas cuts to Europe (Fox Business) Ukraine will double its energy exports to Europe as EU nations cope with an energy standoff with Russia amid an international gas crisis.

Russian economy ‘crippled at every level’ despite Putin’s propaganda (The Telegraph) Country in ‘dire straits’ as exodus of Western firms knocks out 40pc of GDP

Isolation complication? US finds it's hard to shun Russia (AP NEWS) The Biden administration likes to say Russia has become isolated internationally because of its invasion of Ukraine . Yet Moscow's top officials have hardly been cloistered in the Kremlin.

‘Merchant of Death’ offered up by US in exchange for jailed citizens held in Russia (The Telegraph) Viktor Bout has been in US custody for 10 years for running a major arms smuggling operation

Russia has slowed flows of gas to Europe to a trickle - and the energy crisis could drag on until 2025, Goldman Sachs says (Markets Insider) Natural gas prices finally eased Thursday but have soared 145% since the start of June - and the crisis could continue for years, strategists said.

If Putin is using gas prices to fight Europe, how can it fight back? (the Guardian) Analysis: in this massive hybrid war, Europe is preparing its defences before winter and hoping sanctions bite

Attacks, Threats, and Vulnerabilities

How Threat Actors Are Adapting to a Post-Macro World (Proofpoint) In response to Microsoft’s announcements that it would block macros by default in Microsoft Office applications, threat actors began adopting new tactics, techniques, and procedures (TTPs).

CISA Releases Log4Shell-Related MAR (CISA) From May through June 2022, CISA responded to an organization that was compromised by an exploitation of an unpatched and unmitigated Log4Shell vulnerability in a VMware Horizon server. CISA analyzed five malware samples obtained from the organization’s network and released a Malware Analysis Report of the findings. Users and administrators are encouraged to review MAR 10386789-1.v1 for more information. For more information on Log4Shell, see:

MAR-10386789-1.v1 – Log4Shell (CISA) Since December 2021, multiple threat actor groups have exploited Log4Shell on unpatched, public-facing VMware Horizon and Unified Access Gateway (UAG) servers. From May through June 2022, CISA provided remote incident support at an organization where CISA observed suspected Log4Shell PowerShell downloads. During remote support, CISA confirmed the organization was compromised by malicious cyber actors who exploited Log4Shell in a VMware Horizon server that did not have patches or workarounds applied. CISA analyzed five malware samples obtained from the organization’s network: two malicious PowerShell files, two Extensible Markup Language (XML) files, and a 64-bit compiled Python Portable Executable (PE) file.

Threat Advisory: Hackers Are Selling Access to MSPs (Huntress) We’re currently monitoring a situation that entails a hacker selling access to an MSP with access to 50+ customers, totaling 1,000+ servers.

Experts warn of hacker claiming access to 50 U.S. companies through breached MSP (The Record by Recorded Future) Experts have raised alarms about a post on a hacker forum by someone claiming to have access to 50 different U.S. companies through an unknown managed service provider.

Exploit of Log4Shell Vulnerability Leads to Compromise of Major South American Vaccine Distributor (SecurityScorecard) Exploit of Log4Shell Vulnerability Leads to Compromise of Major South American Vaccine Distributor

Exploitation of exact Confluence Vulnerability Underway (SecurityWeek) Security researchers are already seeing the exact Questions for Confluence hardcoded password vulnerability being exploited in attacks.

Moxa NPort Device Flaws Can Expose Critical Infrastructure to Disruptive Attacks (SecurityWeek) Vulnerabilities found in Moxa’s NPort devices could allow attackers to cause significant disruption, including in critical infrastructure organizations.

Nuki Smart Lock Vulnerabilities Allow Hackers to Open Doors (SecurityWeek) NCC Group security researchers have identified 11 vulnerabilities impacting Nuki smart lock products, including some that allow attackers to open doors.

Vulnerability in Dahua’s ONVIF Implementation Threatens IP Camera Security (Nozomi Networks) Nozomi Networks Labs publishes a vulnerability in Dahua's ONVIF standard implementation, which can be abused to take over IP cameras.

Protestware on the rise: Why developers are sabotaging their own code (TechCrunch) A wave of software developers have self-sabotaged their code to protest big corporations to Russia's war in Ukraine.

Italian Insurer's Data Breach Uncovered Sensitive Staff Documents (Website Planet) Italian Insurer's Data Breach Uncovered Sensitive Staff Documents Vittoria Assicurazioni's open buckets exposed hundreds of thousands of files contai

Security Patches, Mitigations, and Software Updates

Google announces new Play Store policies around intrusive ads, impersonation and more (TechCrunch) Google announced new Play Store policies for developers on Wednesday that aim to address issues with intrusive ads, alarms, VPNs and impersonation of brands and other apps. The company said these policies will go into effect during different timeframes so developers have ample time to make changes …

Mitsubishi Electric Factory Automation Engineering Software (Update B) (CISA) 1. EXECUTIVE SUMMARY CVSS v3 8.3 ATTENTION: Exploitable remotely Vendor: Mitsubishi Electric Equipment: Mitsubishi Electric, Multiple Factory Automation Engineering Software products Vulnerability: Permission Issues 2.

Mitsubishi Electric FA Engineering Software (CISA) 1. EXECUTIVE SUMMARY CVSS v3 5.5 ATTENTION: Low attack complexity Vendor: Mitsubishi Electric Equipment: FA Engineering Software Vulnerabilities: Out-of-bounds Read, Integer Underflow 2. RISK EVALUATION Successful exploitation of these vulnerabilities may cause a denial-of-service condition.

Rockwell Products Impacted by Chromium Type Confusion (CISA) 1. EXECUTIVE SUMMARY CVSS v3 4.0 ATTENTION: Low attack complexity/public exploits are available Vendor: Rockwell Automation Equipment: FactoryTalk Software, Enhanced HIM for PowerFlex, Connected Components Workbench Vulnerability: Type Confusion 2. RISK EVALUATION Successful exploitation of this vulnerability could cause a denial-of-service condition.

2022 ForgeRock Consumer Identity Breach Report (ForgeRock) ForgeRock’s Consumer Identity Breach Report found that unauthorized access was the leading cause of breaches, accounting for 50% of all records compromised during 2021. To learn about the current threat landscape, obtain the report.

The State of Vulnerability Intelligence: 2022 Midyear Edition (Flashpoint) The State of Vulnerability Intelligence report empowers organizations to focus on what matters most, helping them to keep workloads manageable.

Software Supply Chain Risk (Coalfire) Coalfire, in conjunction with survey partner Cyber Risk Alliance, has developed our latest report to advance the cybersecurity community by researching and analyzing the risks currently facing the software supply chain.

Cyberattacks on satellites may only be getting more worrisome (Washington Post) Space is a burgeoning battleground for cyberattacks

It’s Not Just Loot Boxes: Predatory Monetization Is Everywhere (Wired) The UK recently declined to regulate prize draws as a form of gambling, but does it matter? The industry has moved on to more problematic ways to make money.

Marketplace

Cyber insurance is on the rise, and organizational security postures must follow suit (VentureBeat) When it comes to cyber insurance, much like other types of insurance, organizations should know what to look for — as well as what is expected of them. 

Cyber Insurance Price Hike Hits Local Governments Hard (Pew Trusts) Some rates have more than doubled, and many insurers require new security protections.

Cybersecurity Growth Investment Flat, M&A Activity Strong for 2022 (SecurityWeek) While global markets have suffered, sales of cybersecurity software have remained strong. VC investment in cybersecurity has adapted to the world economy rather than stalled.

Decentralized data platform Space and Time raises $10 million in seed round (The Block) Funds raised in the Framework Ventures-led round will be used to expand Space and Time's engineering team and decentralized network.

ThreatX Recognized as a sample Vendor in the 2022 Gartner® Hype Cycle™ for Application Security (Business Wire) ThreatX today announced the company has been acknowledged twice as a sample Vendor in the Gartner Hype Cycle for Application Security, 2022 report.

Axis Named Most Innovative Security Services Company at 2022 Golden Bridge Business and Innovation Awards (PR Newswire) Axis announced today that it has been named Most Innovative Security Services Company at the 2022 Golden Bridge Business and Innovation Awards...

Gartner Magic Quadrant PAM | Delinea Positioned as a Leader (Delinea) Download a complimentary copy of Gartner’s 2020 report on the PAM market and vendors to see why Delinea is recognized as a leader.

Axonius Appoints Tom Kennedy as Vice President of Axonius Federal Systems (Axonius) Axonius today announced it has appointed Tom Kennedy as its Vice President of Axonius Federal Systems LLC, the company’s government-focused subsidiary.

Products, Services, and Solutions

Fastly Partners with HUMAN Security to Protect Customers from Bot Attacks and Fraud (Business Wire) Fastly Partners with HUMAN Security to Protect Customers from Bot Attacks and Fraud

Everything Blockchain Inc. Launches EB Control (Business Wire) Everything Blockchain Inc., (OTCMKTS: OBTX), a technology company that enables real-world use of blockchain to solve critical business issues, today a

Technologies, Techniques, and Standards

Cyber grades bring down agencies’ scores in FITARA 14 (Federal News Network) The 14th version of the FITARA scorecard shows one agency increased their score, while eight earned lower scores, mostly due to cybersecurity shortcomings.

Legislation, Policy, and Regulation

EU to Open San Francisco Office Focused on Tech Regulation (Wall Street Journal) The European Commission is opening a San Francisco office, an effort to Improve trans-Atlantic tech policy relations after years of tension between European regulators and U.S. tech firms.

Why Indonesia Has Embraced Huawei (Foreign Policy) If the U.S. wants to compete with China in developing countries, our research shows it needs to offer tangible assistance in response to real needs.

Victim of Private Spyware Warns It Can be Used Against US (SecurityWeek) Months after her father was lured back to Rwanda under false pretenses and jailed, Carine Kanimba discovered her own phone had been hacked using private spyware.

House Passes Cybersecurity Bills Focusing on Energy Sector, Information Sharing (SecurityWeek) The House has passed two cybersecurity bills: the Energy Cybersecurity University Leadership Act and the RANSOMWARE Act.

House Passes Chips Act to Boost U.S. Semiconductor Production (Wall Street Journal) The $280 billion bill passed despite a late push by Republican leaders to block the legislation over a separate Democratic spending proposal.

CHIPS Act clears Congress, ensuring $52 billion boost to US foundries (The Verge) The vote was the long-awaited bill’s final hurdle before Biden.

Congressional Democrats Introduce Net Neutrality Bill (CNET) Senate and House Democrats introduce a bill to reinstate Obama-era net neutrality rules and to deliver the FCC authority over broadband networks.

Top White House cyber official says Congress should push for digital security mandates (The Record by Recorded Future) A senior White House official on Thursday said Congress could do more to set basic cybersecurity standards for critical infrastructure sectors to better protect them against digital threats.

Litigation, Investigation, and Law Enforcement

Police to share coding of AN0M app used in Operation Ironside arrests (ABC) Experts for alleged criminals charged in one of Australia's biggest criminal sting operations will be given access to the coding of a messaging app built by the Australian Federal Police to catch those allegedly involved in organised crime.

Rewards for Justice – Reward Offer for Information on Russian Interference in U.S. Elections (United States Department of State) The U.S. Department of State’s Rewards for Justice (RFJ) program, administered by the Diplomatic Security Service, is offering a reward of up to $10 million for information on foreign interference in U.S. elections. The reward offer seeks information leading to the identification or location of any foreign person, including a foreign entity, who knowingly engaged […]

Crackdown on BEC Schemes: 100 Arrested in Europe, Man Charged in US (SecurityWeek) Authorities in Europe announce the arrests of 100 individuals for invoice fraud as the US indicts a Florida man for role in BEC scheme.

U.S. Justice Department probing cyber breach of federal court records system (Reuters) The U.S. Justice Department is investigating a cyber breach involving the federal court records management system, the department's top national security attorney told lawmakers on Thursday.

US DoJ probing 'incredibly significant' breach of federal records (Computing) The breach dates back to early 2020

Justice Department investigating data breach of federal court system (POLITICO) House Judiciary Committee Chair Jerrold Nadler described a "system security failure" of the U.S. Courts' document management system.

France Closes 'Cookies' Case Against Facebook (SecurityWeek) French privacy regulators on Thursday closed a case against Facebook after determining the US tech giant had changed the way it collected user data to comply with the law.

Fri, 29 Jul 2022 04:26:00 -0500 text/html https://thecyberwire.com/newsletters/daily-briefing/11/145
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