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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 Strengthen 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 Strengthen 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 Strengthen 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 : Texas Pacific and IBM have been highlighted as Zacks Bull and Bear of the Day

For Immediate Release

Chicago, IL – July 25, 2022 – Zacks Equity Research shares Texas Pacific Land TPL as the Bull of the Day and International Business Machines IBM as the Bear of the Day. In addition, Zacks Equity Research provides analysis on The Boeing Company BA, L3Harris Technologies LHX and Spire Global, Inc. SPIR.

Here is a synopsis of all five stocks:

Bull of the Day:

Texas Pacific Land is a Zacks Rank #1 (Strong Buy) that is landowners principally in the State of Texas. The Company generates revenue from pipeline, power line and utility easements, commercial leases, material sales and seismic and temporary permits related to land uses including midstream infrastructure projects and hydrocarbon processing facilities.

The stock took off in late 2020 and into 2021, moving from $400 to $1770. From there, the stock saw a slow descent, back under the $1000 level earlier this year.

But investors have been buying the stock since those bottoms in Q1. The stock is back at all time highs and should be watched for buying opportunities.

More About TPL

The company describes itself as a "Pure play in the Permian Basin." Texas Pacific Land was founded in 1888 and is headquartered in Dallas, Texas. It employs about 100 people and has a market cap of $13.5 billion.

TPL engages in the land and resource management, and water services and operations businesses.

The company's Land and Resource Management segment manages approximately 880,000 acres of land in 19 counties in the western part of Texas. It rents this land out to oil and gas producers that pay fees for use of that land.

Texas Pacific also has a Water Services and Operations segment that provides full-service water offerings.

The stock has a Zacks Style Score of "B" in Momentum and "C" in Growth. However, it has a "F" in Value, due to the high Forward PE of 28. While the PE is high, investors value the free cash flow more, which has been high due to higher energy prices.

Q1 Earnings

On May 4th, TPL reported an 8% EPS miss for Q1. While the company missed the estimates, the year over year numbers came in almost double from last year.

For earnings, the company saw $12.64 v the $6.45 last year. And for revenues, $147.M vs the $84.2M last year.

The company raised their dividend 9.1% and boosted their special dividend to $20 a share.

Here are some comments from management on the special dividend and the quarter:

"With tailwinds of favorable commodity prices, strong production, and a debt-free balance sheet, we're pleased to announce a $20 per share special dividend as our shareholders reap the windfall of supportive underlying fundamentals."

The company added that the dividend is on top of their $100 million share repurchase program and they will continue to return capital back to shareholders.

Estimates Rising

Analysts are getting excited about the upcoming quarters and raising estimates across all time frames.

Over the last month, estimates for the current quarter have gone from $15.10 to $15.84, a move of 5%. For the current year, we have seen a move of 3.5% higher, with estimates moving from $60.73 to $62.91.

Next year's estimates are also moving higher. Over the last 60 days, estimates have gone from $67.26 to $70.60, or 5%.

Strength in a Weak Market

TPL has not only been a great place to hide, it has been very rewarding. The stock is up almost 50% so far in 2022 and over 120% since the beginning over 2020.

In addition to the appreciation, investors are being rewarded with a small annual dividend and of course, the large special dividend. Investors should expect more special dividends in the future, due to the free cash flow that is being generated from high energy prices.

The Technical Take

The stock is trading at all-time highs so instead of chasing it, investors might want to be patient and look for pullbacks.

The 21-day moving average is at $1600, while the 50-day is at $1550. The 200-day MA is all the way down at $1330 and not likely to hit anytime soon.

Looking at the Fibonacci levels, the pullback earlier this year came down into the 61.8% retracement at $930 and held. Investors looking for upside targets could target the -23.6% level at $2075.

In Summary

When markets are weak, investors should look for relative strength. Not only is TPL relatively strong, but the stock has taken off to all-time highs. This is a very positive sign for investors and when market sentiment improves, the stock could really get going.

Investors should watch energy prices when owning a name like this. A large drop in oil and natural gas could destroy the narrative.

Bear of the Day:

International Business Machines is a Zacks Rank #5 (Strong Sell) provides advanced information technology solutions, computer systems, quantum computing and super computing solutions, enterprise software, storage systems and microelectronics.

"Big Blue" has struggled over the last decade, so they have tried to adjust and pivot to the cloud. Their acquisition of Red Hat helped this idea, but a exact earnings report has disappointed investors.

The stock is now trending lower and looks like it might challenge 2022 lows.

About the Company

IBM is headquartered in Armonk, New York. The company was incorporated in 1911 and employs over 280,000 people.

The company operates through four business segments: Software, Consulting, Infrastructure, and Financing.

IBM is valued at $114 billion and has a Forward PE of 13. The stock holds a Zacks Style Score of "C" in Value, "B" in Growth and "B" in Momentum. The stock pays a dividend of 5%.

Q2 Earnings

The company reported EPS last week, seeing Q2 at $2.31 versus the $2.29 expected. Revenues came in at $15.5B versus $15.1B. IBM affirmed FY22 at the high end of its mid-single digit model, but narrowed the FY22 FCF to $10B from $10-10.5B.

Margins were down year over year, from 55.2% to 53.4%. While software, consulting and infrastructure revenues were all higher year over year.

Here are some comments from CEO Arvind Krishna:

"In the quarter we delivered good revenue performance with balanced growth across our geographies, driven by client demand for our hybrid cloud and AI offerings. The IBM team executed our strategy well."

Estimates

Analysts are already starting to drop estimates as a result of the earnings report.

After stabilizing over the last few months, estimates have fallen off a cliff over the last 7 days. For the current quarter, estimates have fallen from $2.57 to 2.07, or 20%.

Things look to Strengthen next quarter, but we see estimates tracking lower again for next year. Over the last 60 days, numbers have been lowered from $10.81 to $10.26, or 5%.

Technical Take

The stock was holding up well before earnings, as it was seeing support at the 50-day moving average. But IBM is now trading under all its moving averages after the earnings report, slicing right through the 200-day at $130.50.

The lows of the year are just under $120. These should be taken out if the momentum continues and the bears could possibly target the 2021 lows around $113.

Looking at Fibonacci levels, a 61.8% retracement drawn from May lows to June highs was holding at $133. However, this support was broken and bears should target the 161.8% extension at $113. This lines up with that 2021 low support.

In Summary

While big blue had some positive aspects to the quarter, investors were disappointed overall. The stock fell over 8% after earnings and looks like it could take out 2022 lows on any market weakness.

The stock pays a nice dividend, but with cash flow being taken down, investors might start to lose faith in that payout.

Additional content:

Will Abnormal Costs Hurt Boeing (BA) on Q2 Earnings?

Increased 737 delivery figures are expected to have boosted The Boeing Company's commercial business in the second quarter. However, second-quarter 2022 results, scheduled for release on Jul 27, are projected to reflect the impacts of abnormal costs related to the 777-9 program, on the bottom-line front.

Click here to know how the company's overall Q2 performance is expected to have been.

Solid 737 Max Deliveries to Boost Growth

Thanks to steadily recovering air traffic, improved delivery figures for Boeing's 737 jets, a trend we have been witnessing in the past couple of quarters, were observed in the second quarter of 2022 as well. Notably, the aerospace giant delivered 103 737 jets in the soon-to-be-reported quarter, reflecting quite a solid improvement of 106% from 50 units delivered in the year-ago quarter.

In fact, such significant delivery figures of 737 primarily drove a significant surge of 53.2% in the company's overall commercial deliveries. This, in turn, must have contributed to Boeing Commercial Airplane (BCA) business segment revenues in the soon-to-be-reported quarter.

The Boeing Company price-eps-surprise | The Boeing Company Quote

However, the aerospace giant was unable to deliver any of its 787 Dreamliner jets in the second quarter of 2022, owing to production quality issues related to the program. This might have partially impacted the top-line performance of the BCA segment.

Currently, the Zacks Consensus Estimate for Boeing's commercial business segment's revenues, pegged at $6,491 million, indicates a solid 7.9% improvement from the year-ago quarter's reported figure.

Earnings Expectation

On the cost front, delivery delays concerning the 787 performance issue are likely to have had an impact on BCA's operating profit, thereby hurting its quarterly earnings. Also, the production pause for the 777-9 program is projected to result in approximately $1.5 billion of abnormal costs beginning in the second quarter, which in turn must have weighed on this unit's bottom line.

However, improvements in commercial airplanes' financial performance due to increasing 737 MAX deliveries and consistent efforts by the BCA team to manage costs through business transformation activities must have contributed to this unit's bottom-line growth in the first quarter.

Further, we expect to witness a steady improvement in the company's expenses in relation to the storage of the 737 aircraft as jets stored so long in the inventory are gradually getting delivered.

So, the effect of the aforementioned factors on the overall second-quarter earnings performance of the BCA segment seems to have been mixed.

Currently, the Zacks Consensus Estimate for Boeing's commercial business segment's bottom line, pegged at a loss of $158 million, indicates an improvement from the year-ago quarter's reported figure of a loss of $472 million.

What the Zacks Model Unveils

Our proven model does not conclusively predict an earnings beat for Boeing this time around. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the chances of an earnings beat. This is not the case here.

Boeing has an Earnings ESP of -62.40% and a Zacks Rank #3. You can uncover the best stocks to buy or sell before they're reported with our Earnings ESP Filter.

Stocks to Consider

Here are a couple defense companies you may want to consider as these have the right combination of elements to post an earnings beat this season:

L3Harris Technologies: It is scheduled to release its second-quarter results on Jul 28. LHX holds a Zacks Rank #3 and has an Earnings ESP of +1.01%. You can see the complete list of today's Zacks #1 Rank stocks here.

LHX delivered a four-quarter average earnings surprise of 2.32%. The Zacks Consensus Estimate for L3Harris' second-quarter earnings, pegged at $3.16, has moved up 0.3% over the past seven days.

Spire Global, Inc. has an Earnings ESP of +9.43% and a Zacks Rank #3.

Spire delivered an earnings surprise of 7.7% in the last reported quarter. The Zacks Consensus Estimate for Spire's second-quarter sales is pegged at $18.93 billion.

Stay on top of upcoming earnings announcements with the Zacks Earnings Calendar.

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Past performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of genuine portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.


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Killexams : New Version Of Catia Offers Valuable New feels

An innovative CAD/CAM solution has added to its capabilities, with the exact release of Catia-CADAM Solutions Version 4, Release 2.0. The system is utilized by top design and construction firms in a variety of industries — notably Finland's Deltamarin and Germany's Meyer Werft — and the new version offers three new and 37 enhanced products designed to make the system a greater efficiency enhancement tool. The new Version 4, Release 2.0 supports customers from 2-D drawings to digital mock-up methodologies and notably, expands customer competitiveness and productivity in manufacturing, analysis and mock-up. "We use Catia to design internal areas, such as the bridge and the galley, along with the genuine hull, deck structure and propulsion systems," said Juhani Kivi, vice director of EDP with Raisio, Finland-based Deltamarin. "With Catia's 4-D Navigator and the significant enhancements in the Catia-CADAM Shipbuilding Solutions, more than ever we can present an easily visualized end-to-end solution to the ship owners." While the Catia system is designed as a multi-industry support solution, the Release 2.0 of Catia-CADAM Shipbuilding Solution is designed to bring shipbuilders and suppliers an integrated "end-to-end" or "concept operation" solution, with extended modeling features, industry standard support and new generative capabilities in the ship hull steelwork design product. The system disciplines are designed to cooperate through the product's life cycle, from initial hull design through outfitting. It is designed as a common base for design, configuration management, manufacturing, commission, maintenance and operations.

Another of the new products offered in the upgraded package is the Lathe Machining Programmer, which provides extensive turning designs for such operations as roughing, grooving, threading and finishing. The new release also offers full integration across all Catia manufacturing product suites to enable mixing mill, drill and lathe operations in a seamless fashion.

The new release increases the productivity of drawing creation through 2-D view sketching with ease-of-use features for automatic drawing layout, automated view positioning and faster annotation.

Other system enhancements include: the capability to generate the 3-D solid representation of composite material parts and integrate the representation within a digital mock-up; and the extension of Catia 4-D Navigator, the tool for digital mock-up inspection and simulation, to become CAD independent to support access to any CAD system.

Peter Motikat, technical director at the well-respected Meyer Werft facility in Germany, a shipyard that is known for its adherence to the latest technological trends and systems, had this to say about the system: "Since 1989, we have been using Catia extensively in designing our ships, including one of the largest cruise liners in the world." "We go beyond such things as general arrangement, structural steel, HVAC, piping accommodation and electrical design, and use Catia for such crucial features as on-board shopping malls, swimming pools and entertainment centers." Catia-CADAM is from Dassault Systems, and is marketed, distributed and supported by IBM worldwide.

Tue, 28 Jun 2022 12:00:00 -0500 en text/html https://www.marinelink.com/article/shipbuilding/version-catia-offers-valuable-387
Killexams : Amazon.com Announces Second Quarter Results

SEATTLE, July 28, 2022--(BUSINESS WIRE)--Amazon.com, Inc. (NASDAQ: AMZN) today announced financial results for its second quarter ended June 30, 2022.

  • Operating cash flow decreased 40% to $35.6 billion for the trailing twelve months, compared with $59.3 billion for the trailing twelve months ended June 30, 2021.

  • Free cash flow decreased to an outflow of $23.5 billion for the trailing twelve months, compared with an inflow of $12.1 billion for the trailing twelve months ended June 30, 2021.

  • Free cash flow less principal repayments of finance leases and financing obligations decreased to an outflow of $33.5 billion for the trailing twelve months, compared with an inflow of $0.6 billion for the trailing twelve months ended June 30, 2021.

  • Free cash flow less equipment finance leases and principal repayments of all other finance leases and financing obligations decreased to an outflow of $26.1 billion for the trailing twelve months, compared with an inflow of $4.2 billion for the trailing twelve months ended June 30, 2021.

  • Common shares outstanding plus shares underlying stock-based awards totaled 10.6 billion on June 30, 2022, compared with 10.4 billion one year ago. All share and per share information throughout this release has been retroactively adjusted to reflect the 20-for-1 stock split effected on May 27, 2022.

  • Net sales increased 7% to $121.2 billion in the second quarter, compared with $113.1 billion in second quarter 2021. Excluding the $3.6 billion unfavorable impact from year-over-year changes in foreign exchange rates throughout the quarter, net sales increased 10% compared with second quarter 2021.

  • Net loss was $2.0 billion in the second quarter, or $0.20 per diluted share, compared with net income of $7.8 billion, or $0.76 per diluted share, in second quarter 2021. Second quarter 2022 net loss includes a pre-tax valuation loss of $3.9 billion included in non-operating expense from our common stock investment in Rivian Automotive, Inc.

"Despite continued inflationary pressures in fuel, energy, and transportation costs, we’re making progress on the more controllable costs we referenced last quarter, particularly improving the productivity of our fulfillment network," said Andy Jassy, Amazon CEO. "We’re also seeing revenue accelerate as we continue to make Prime even better for members, both investing in faster shipping speeds, and adding unique benefits such as free delivery from Grubhub for a year, exclusive access to NFL Thursday Night Football games starting September 15, and releasing the highly anticipated series The Lord of the Rings: The Rings of Power on September 2."

Highlights

Shopping Innovation

  • Prime members worldwide shopped more and saved more this Prime Day than any other Prime Day event, purchasing more than 300 million items and saving more than $1.7 billion. On July 12 and July 13, Prime members worldwide purchased more than 100,000 items per minute, and some of the best-selling categories were Amazon Devices, Consumer Electronics, and Home. Amazon Devices had a record-breaking Prime Day, selling more devices than any other Prime Day event.

  • Prime continued to provide even more value to members around the world. In the U.S., Amazon introduced new offers for Prime members, including a free one-year Grubhub+ membership, a new year-round 20% discount on select everyday essentials at Amazon Fresh stores, and exclusive deals on home entertainment items and merchandise to help prepare for NFL Thursday Night Football. Additionally, Prime Student members get six months free of a LinkedIn Premium subscription.

  • Amazon introduced new ways for customers to support and discover small businesses selling in Amazon’s store, including the Small Business Badge, which helps customers find and shop products from small business brands and artisans, and This Is Small Business, a new podcast dedicated to sharing stories from small business owners about pivotal moments in starting, building, and scaling their businesses. This year was also the biggest Prime Day event for Amazon’s selling partners, most of which are small and medium-sized businesses, whose sales growth in Amazon’s store outpaced Amazon’s first-party sales. Customers spent over $3 billion on more than 100 million small business items included in the Support Small Businesses to Win Big sweepstakes, which offered customers the chance to win prizes when shopping from small businesses leading up to Prime Day.

  • Amazon continues to invent new fashion shopping experiences for customers, launching Virtual Try-On for Shoes, where shoppers can virtually try on thousands of sneaker styles, and Luxury Stores at Amazon in France, Germany, Italy, Spain, and the UK, where customers can shop established and emerging luxury fashion brands online. Amazon Style, Amazon’s first-ever physical store for apparel, opened in Glendale, California, to help customers discover new looks through a personalized shopping experience. Amazon Style uses machine learning algorithms to produce tailored recommendations for customers as they shop. In the fitting room, customers can use touchscreens to browse more options and request additional styles and sizes. Amazon also expanded its selection of size-inclusive fashion to include a collection from designer Jonathan Cohen and a new co-brand between Amazon and Making The Cut Season Two winner Andrea Pitter called TEREA.

  • Amazon announced that later this year, Amazon customers in Lockeford, California, and College Station, Texas, will be among the first to receive Prime Air drone deliveries in the U.S. Customers will have the option to receive free and fast drone delivery on thousands of everyday items—the largest selection of items ever to be available for drone delivery.

  • Amazon continues to collaborate with leading retailers and stadiums to equip third-party locations with Just Walk Out technology for checkout-free shopping and Amazon One for palm recognition and payment service. exact store openings include the Walk-Off Market food and beverage store at T-Mobile Park in Seattle and the Hudson Nonstop store in Nashville International Airport. Additionally, three stores will open at Texas A&M’s Kyle Field later this year. The combination of technologies gives shoppers the option to enter a store by inserting their credit card at the entry gate or hovering their palm over an Amazon One device. Once inside, shoppers can take what they want and leave without stopping to check out.

  • Amazon continued to expand its grocery store footprint by opening 12 Amazon Fresh stores across the U.S. and the UK, and introduced new innovations to Strengthen the shopping experience for customers, including the next generation Amazon Dash Cart. Amazon Dash Cart is a smart shopping cart that uses computer vision algorithms and sensor fusion to help identify items placed in a cart, so customers can skip the checkout line when they are done shopping. With the new Dash Cart, which is also expanding to its first Whole Foods Market store, shoppers can fit more items into their cart, bring the cart to their car, and easily search for specific items on the cart’s screen.

  • Amazon announced Store Analytics, a new service that provides brands with aggregated and anonymized insights about the performance of their products, promotions, and ad campaigns in applicable stores. Store Analytics is available at Amazon Go and Amazon Fresh stores in the U.S. that are enabled with Just Walk Out technology and Amazon Dash Carts.

  • Amazon continues to Strengthen its shopping experience for U.S. customers who use SNAP EBT, the federal program that helps families purchase groceries. The company expanded the program so that beneficiaries in 48 states and Washington, D.C.—covering more than 99% of SNAP households—can now use their SNAP benefits to shop for groceries at Amazon.com, Amazon Fresh, and Whole Foods Market.

  • Amazon released its second Brand Protection Report, which details how the company safeguards customers, brands, and selling partners from counterfeit products. Amazon identified, seized, and appropriately disposed of more than 3 million counterfeit products, preventing them from harming customers or being resold elsewhere in the retail supply chain. In 2021, the company employed more than 12,000 people and invested more than $900 million to protect its store from counterfeit, fraud, and other forms of abuse so customers can continue to shop with confidence.

  • Amazon filed legal action against the administrators of more than 10,000 Facebook groups that attempt to orchestrate fake reviews on Amazon in exchange for money or free products. These groups are set up to recruit individuals willing to post incentivized and misleading reviews on Amazon’s stores in the U.S., the UK, Germany, France, Italy, Spain, and Japan. Amazon will use information discovered from this legal action to identify bad actors and remove fake reviews commissioned by these fraudsters that haven’t already been detected by Amazon’s advanced technology, expert investigators, and continuous monitoring.

  • Amazon Ads launched Amazon Marketing Stream (Beta), a product that automatically delivers hourly Sponsored Products campaign metrics to advertisers or agencies through the Amazon Ads API. The Stream provides near real-time performance insights to enable more effective campaign optimization, more agility in responding to campaign changes, and increased operational efficiency to help drive business growth for advertisers.

  • The second re:MARS conference took place in Las Vegas, and Amazon welcomed nearly 7,000 attendees, in person and virtually, to hear from top academics and experts in machine learning, automation, robotics, and space. This year’s event featured innovations from across Amazon, along with demos of Amazon’s Just Walk Out Experiential Mock Store, Boston Dynamics’ Spot® agile robot on AWS, Alexa Smart Home featuring the Astro household robot, and the Lunar Outpost lunar surface rover built on AWS.

Entertainment

  • Former NFL quarterback Ryan Fitzpatrick and All-Pro cornerback Richard Sherman will join Pro Football Hall of Famer Tony Gonzalez as analysts for Prime Video’s NFL Thursday Night Football pregame, halftime, and postgame coverage. Veteran sports anchor Charissa Thompson will host the shows. Legendary sportscaster Al Michaels and Emmy-winning analyst Kirk Herbstreit will call the live action games.

  • Prime Video received 30 Emmy nominations, and MGM received seven nominations. Prime Video’s nominations included The Marvelous Mrs. Maisel, Lucy and Desi, Lizzo’s Watch Out for the Big Grrrls, The Academy of Country Music Awards, The Boys Presents: Diabolical, Goliath, Savage X Fenty Show, and A Very British Scandal. MGM’s nominations included Vikings: Valhalla, The Voice, Shark Tank, and Survivor.

  • The Boys continued to grow its audience with the debut of Season Three. Over its premiere weekend, the Emmy-nominated superhero drama increased its worldwide audience by 234% from Season One and 17% from Season Two.

  • The Lord of the Rings: The Rings of Power continued to build anticipation in the lead-up to premiere. The release of new images, a teaser trailer, and a 60-second sneak peek for Prime members on Prime Day all preceded the debut of a highly anticipated three-minute trailer at San Diego Comic-Con. The long trailer was unveiled to a crowd of 6,500 fans during a panel with the show’s cast—moderated by Stephen Colbert—in the convention’s largest venue before being released globally. The Lord of the Rings: The Rings of Power launches exclusively on Prime Video in 240 countries and territories and 33 different languages on September 2.

  • Prime Video debuted five new Original series: The Terminal List, starring Chris Pratt; The Summer I Turned Pretty; Chloe; The One That Got Away; and Forever Summer: Hamptons. In addition, adult animated series Undone and Fairfax each returned for second seasons. Prime Video premiered three new Original movies: Sundance Film Festival award-winner Emergency; Don’t Make Me Go, starring John Cho and Mia Isaac; and Anything’s Possible, directed by Billy Porter.

  • Prime Video’s robust international slate grew with the debut of more than 25 local Originals and live sporting events. New global programming includes Yosi, the Regretful Spy (Argentina), The Kids in the Hall (Canada), Modern Love Mumbai (India), Bang Bang Baby (Italy), and Lovestruck High (UK). Sports programming includes Roland-Garros French Open tennis in France, the Australian Swimming Championships, and live boxing in Japan.

  • The ad-supported, free streaming content service Amazon Freevee received its first major award win for Judy Justice, starring Judge Judy Sheindlin, which earned a Daytime Emmy. Freevee also premiered three new Original series—Bosch: Legacy, one of the 10 most-streamed shows across all services in May, according to streaming hub Reelgood; crime drama Troppo; and home-renovation series Hollywood Houselift with Jeff Lewis—and one Original film, Love Accidentally.

  • Prime Video Channels expanded its portfolio to offer more premium Spanish-language content with the addition of Vix+, TelevisaUnivisions’ streaming service. Prime Video Channels offer customers additional paid subscriptions to third-party premium networks and other streaming entertainment channels, such as discovery+, Paramount+, AMC+, Globo, BET+, NBA League Pass, MLB.TV, STARZ, and SHOWTIME.

  • Amazon Music brought epic live performances to customers streaming on the Amazon Music Twitch channel and on Prime Video, including performances from global superstars Maluma and Carrie Underwood, as well as Pharrell Williams’ Something In The Water festival, which featured Tyler The Creator, Jon Batiste, Pusha T, and Pharrell Williams.

  • Amazon’s podcast streaming service, Wondery, partnered with Dolby Atmos, an audio technology provider, to become the first such service in the U.S. to deliver immersive audio. Dolby Atmos-enabled titles will be available to stream exclusively on the Wondery+ subscription service in 30 countries. Wondery also brought more original content to its global audience, including local-language translations of the investigative series Harsh Reality: The Story of Miriam Rivera; Business Wars in Spain and Italy; and original dating show Queen of Hearts worldwide.

  • Audible signed a deal with President Barack Obama and Michelle Obama’s production company, Higher Ground, to create a slate of Audible shows. This new partnership reflects the companies’ shared mission to tell meaningful and entertaining stories that elevate diverse voices and experiences.

Devices and Services

  • Automakers continue to launch Alexa integrations in new vehicle models, including the 2023 Acura Integra, 2023 GM Equinox, and 2022 Lucid Air. With Alexa Built-in, customers can ask Alexa to navigate, play music and audiobooks, share the news, check the weather, control smart home devices, pay for gas, and find parking. Customers can also remotely control their vehicle from home by asking Alexa to lock or unlock the car doors, check gas levels or charging range, and start or stop the engine. These automakers join other companies with existing integrations such as Audi, BMW, Chrysler, Ford, GM, Jaguar-Land Rover, Jeep, Mahindra, Rivian, and Volkswagen.

  • Amazon added new features to Alexa Together, a service that helps aging family members feel more comfortable and confident living independently. Up to 10 caregivers can remotely support their aging loved one’s Alexa devices from afar with the Circle of Support feature, and the Remote Assist feature allows caregivers to remotely set up Alexa Routines, such as locking the door and turning off the lights at a certain time of night.

  • Amazon launched new features to make Alexa smarter, more proactive, and more personal. Customers can now opt in to receive proactive notifications from Alexa about their favorite sports team, weather updates in their area, and when it’s time to refill their prescriptions. Additionally, Call Captioning, which shows captions on Echo Show devices during Alexa video calls, now supports Spanish, French, and Portuguese.

  • Amazon now has over 1 million registered developers, brands, and device makers building with Alexa. The company continues to invent new ways for these builders to increase revenue and customer engagement, including the Alexa Routines Kit, which enables developers to configure and offer Alexa Routines to customers when they interact with a skill. For example, developers can integrate their skills into a customer’s morning routine, along with other Alexa experiences like smart home controls and music.

  • Amazon introduced the next generation of Fire 7 and Fire 7 Kids, bringing more speed, performance, and value to the company’s most popular and affordable tablet.

  • Amazon introduced new smart TVs with Fire TV built-in from Hisense and Xiaomi. With Fire TV built-in, customers get a content-driven viewing experience, a simple and intuitive user interface, Alexa, and hands-free TV control.

  • Blink launched the first Blink Video Doorbell in France, Germany, Italy, the Netherlands, Spain, and the UK.

Amazon Web Services

  • AWS continues to be the most broadly adopted set of cloud infrastructure services and announced new commitments and migrations from customers across many industries and geographies.

    • Travel and hospitality: Delta Air Lines selected AWS as preferred cloud provider to accelerate its digital business transformation and reimagine the travel experience. Using AWS, Delta will deliver new digital travel services, streamline its operations, enhance customer service from the booking process to the flight experience, and provide cloud training to employees globally.

    • Media and entertainment: Riot Games and AWS have teamed up to bring AWS’s data analytics integration to esports broadcasts for the first time, through Riot’s League of Legends, VALORANT, and League of Legends: Wild Rift esports leagues. AWS will also power Riot’s new cloud-first remote broadcast centers, which will support Riot’s current and future ambitions to reimagine entertainment experiences for billions of fans worldwide.

    • Telecommunications: The UK’s largest telecommunications company, BT, selected AWS as preferred cloud provider to transform legacy infrastructure and internal applications to a new cloud-first architecture. This will simplify BT’s current information technology (IT) footprint, enabling it to more rapidly serve customers and reducing costs in IT maintenance.

    • Financial services: Investment banking firm Jefferies will migrate all its IT systems to AWS, including internal and customer-facing applications, IT resources, and companywide data, as it looks to modernize its technology infrastructure, accelerate new digital services, realize operational efficiencies, and increase security and reliability.

    • Health care and life sciences: Health and wellness organization Geisinger selected AWS as its strategic cloud provider. Geisinger will migrate its entire digital portfolio of more than 400 applications and numerous workflows to AWS, which will enable lifesaving technologies and save Geisinger several million dollars annually.

    • Manufacturing: Sweden-based SKF, the leading manufacturer of bearings, collaborated with AWS to launch a fully automated, condition-monitoring solution for industrial machine reliability and predictive maintenance. This helps manufacturers monitor equipment, detect anomalies, and avoid unexpected machine failures in their facilities.

    • Energy: Italian multinational energy company Eni worked with AWS to integrate its proprietary data platform XWARE with the built-for-the-cloud Open Subsurface Data Universe on AWS to increase interoperability between applications, enabling accelerated data exchange, enhanced security, and deeper insights. Using AWS’s machine learning, business intelligence, and storage capabilities, Australia’s Electric Mine Consortium built the world’s first mining data platform for the creation of a cleaner, more electrified future in mining. The platform will drive decarbonization among mining companies, accelerate the electrification of mine sites at scale, and capture real-time information on mine decarbonization globally.

  • AWS added to its more than 200 products and services to help customers lower costs, increase agility, and innovate faster.

    • AWS continues to innovate in generalized central processing units (CPUs) and announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C7g instances, the next generation of compute-optimized instances powered by AWS-designed Graviton3 processors. Graviton3 processors provide up to 25% better performance for compute-intensive applications than C6g instances powered by AWS Graviton2 processors, which deliver up to 40% better price performance over comparable current generation x86-based instances. Graviton3 processors also use up to 60% less energy for the same performance than comparable EC2 instances.

    • AWS continues to transform how customers perform analytics by offering serverless options for Amazon Redshift, Amazon Managed Streaming for Apache Kafka (Amazon MSK), and Amazon EMR. Serverless options take the guesswork out of configuring infrastructure at any scale, so enterprises can expand the use of analytics in their organizations without needing to configure, scale, or manage the underlying infrastructure.

    • AWS announced the general availability of AWS Mainframe Modernization, as it further expands support for every type of workload. AWS Mainframe Modernization makes it faster and easier for customers to modernize mainframe-based workloads by moving them to the cloud, with no upfront costs or underlying infrastructure to manage.

    • AWS announced the general availability of AWS Cloud WAN, a managed wide area network service that makes it faster and easier to build, manage, and monitor a unified network that spans multiple locations and seamlessly connects cloud and on-premises environments. AWS Cloud WAN connects data centers, branch offices, and cloud resources into a single, centrally managed network that reduces operational cost and complexity while improving network health, performance, and security, so enterprises can remove the need to individually configure and manage multiple networks using different technologies.

  • AWS strengthened its partner network of more than 100,000 systems integrators and independent software vendors from around the world that adapt their technology to run on or integrate with AWS.

    • IBM expanded its relationship with AWS and will offer its software catalog as-a-Service (SaaS) on AWS, providing customers quick and easy access to IBM’s automation, data and AI, security, and sustainability software.

    • AWS was named MongoDB’s 2022 Cloud (Co-Sell) Partner of the Year for jointly winning new deals and helping customers modernize around the world.

    • AWS was named Splunk’s 2022 Global Cloud Partner of the Year and announced a new Customer Immersion Experience Center in Splunk’s London office to demonstrate the benefit that data and digital transformation can have on innovation and cost reduction.

  • AWS announced that it remotely operated an AWS Snowcone, an ultra-portable data transfer and edge computing device, on the International Space Station to process data on orbit for the first time as part of a private Axiom Space mission. The portable data storage and transfer device processed photos from onboard research experiments and optimized the limited bandwidth available between the space station and Earth. The operation showed that it is possible to extend AWS’s cloud computing hardware to space and will allow AWS to better support future customer space missions.

  • AWS and Amazon Ads launched Amazon Marketing Cloud (AMC) Insights on AWS. The new solution helps advertisers and agencies easily use AWS services when running Amazon Ads campaigns to analyze and generate reporting from the Amazon Marketing Cloud API, reducing their development time from weeks to hours. With a few clicks, AMC users can monitor ongoing ad campaign performance across reach, frequency, geography, audience, and device type to better understand how to maximize ad spend.

Investing in Employees and Our Workplace

  • In the first six months of 2022, more than 25,000 employees worldwide joined Amazon’s Career Choice program—taking advantage of benefits such as fully funded college tuition, new industry certifications, courses to Strengthen English language proficiency, and high school completion programs. Since 2012, more than 80,000 employees have participated in Career Choice, one of nine upskilling programs offered by Amazon as part of its $1.2 billion commitment to upskill more than 300,000 Amazon employees by 2025.

  • More than 90 companies, including Cummins, John Deere, The Boeing Company, and United Airlines, have joined Amazon and the National Safety Council (NSC) in a first-of-its kind pledge to reduce musculoskeletal disorders (MSDs), the most common workplace injury, by 25% by 2025. The pledge is part of the five-year partnership between Amazon and the NSC to reduce MSDs and Strengthen workplace safety for millions of workers worldwide.

  • Amazon is testing new robotic technologies to create a safer workplace for employees and Strengthen the customer experience.

    • Proteus, Amazon’s first fully autonomous mobile robot, uses advanced safety, perception, and navigation technology developed by Amazon to move objects through the company’s operation facilities. Proteus navigates around employees—meaning it does not need to be confined to restricted areas.

    • Cardinal is a robotic workcell that uses advanced artificial intelligence (AI) and computer vision to handle lifting and turning of large or heavy packages and complicated packing in a confined space.

    • Amazon Robotics Identification is an AI-powered scanning capability that was developed based on employee feedback. It uses innovative computer vision and machine learning technology to enable easier scanning of packages in facilities.

    • Containerized Storage System is a robotic system that delivers products to employees in a more ergonomically friendly manner, reducing the need for employees to reach up, bend down, or climb ladders when retrieving items.

  • Amazon was named No. 1 on LinkedIn’s Top Companies in Retail, a new list that ranks the industry’s 25 best U.S. companies to grow a career in, based on LinkedIn’s data. LinkedIn highlighted Amazon’s benefits, such as up to 20 weeks of fully paid leave for new and expectant parents, weekly pay, and various apprenticeship and certification opportunities.

  • For the fifth year in a row, Amazon was included on the Disability Equality Index’s Best Places to Work for Disability Inclusion.

  • Throughout the month of June, Amazon celebrated "Pride Out Loud" by amplifying the stories and lives of LGBTQIA+ employees, customers, and communities across the business. From operations to entertainment, the company supported more than 95 employee events around the world, sponsored local Pride celebrations in cities across the U.S., and donated to organizations that impact the lives of LGBTQIA+ youth.

  • In celebration of Juneteenth, Amazon launched a comprehensive inclusive learning campaign for Amazon employees worldwide, featuring diversity, equity, and inclusion resources, programs and events, and interactive learning experiences, including a sit-down with Dr. Russell Wigginton, the president of the National Civil Rights Museum.

  • Amazon launched its latest employee learning and development program, Day 1 Manager Onboarding, to accelerate new people-managers’ growth and development. The personalized learning program helps managers strengthen their understanding of Amazon’s culture, support employee career growth, and build high-performing teams through coursework on Topics such as how to use leadership principles when making decisions and in common management scenarios.

Supporting Communities, Selling Partners, and the Economy

  • Amazon continues to support individuals and organizations impacted by the war in Ukraine. AWS is helping Ukraine build up cybersecurity defenses and has already migrated 10 petabytes (10 million gigabytes) of essential data to the cloud from 27 Ukrainian ministries, 18 Ukrainian universities, the country’s largest remote learning K–12 school, and dozens of private-sector companies like PrivatBank, which serves 40% of the Ukrainian population and worked with AWS to securely migrate all its operations to the cloud in less than 45 days. President Volodymyr Zelenskyy awarded AWS the Ukraine Peace Prize for preserving the country’s digital infrastructure by migrating state registries and critical databases to AWS. Since the start of the war, Amazon has donated more than 2 million products to over 45 organizations supporting refugees, including 200,000 hygiene kits packed by Amazon employees around the world.

  • In partnership with Welcome.US and resettlement agencies across the U.S., Amazon created the Welcome Essentials initiative using Amazon’s logistics expertise and product selection to offer refugee families free delivery of essential products, like furniture and household items, to help more than 1,000 families resettling in more than 40 cities in the U.S. this year. On top of this logistics support, Amazon has committed $2 million in donations of essential products to supporting partners.

  • Amazon doubled the capacity of its Humanitarian Relief Hub in Atlanta to 1 million critical relief supplies that are ready to ship to communities in the Gulf Coast, the Caribbean, and Central America that have been affected by natural disasters. The facility has 20,000 cubic feet of storage space dedicated to relief items, and Amazon works with humanitarian partners around the world to deploy essential supplies when a disaster strikes, using Amazon’s global logistics network. Since 2017, Amazon has provided more than 18 million items to support relief partners worldwide during 81 natural disasters.

  • With $96 million in cash donations to more than 180 organizations, Amazon was recognized by the Puget Sound Business Journal as the top corporate philanthropist in its home state of Washington. These contributions were part of Amazon’s total global donations of more than $360 million last year.

  • Amazon was awarded the Defender of Innocence Award by the Mid-Atlantic Innocence Project. This award recognized Amazon’s legal department for its pro bono work to prevent and correct the conviction of innocent people in Maryland, Virginia, and Washington, D.C. Over the past few years, 120 Amazon lawyers in more than 14 countries have spent hundreds of hours screening, evaluating, and litigating cases for the organization—more time, people, and resources than any other company or law firm.

  • Amazon announced additional investments in affordable housing projects in its hometown communities through the Amazon Housing Equity Fund’s $2 billion commitment. The Fund invested more than $30 million to create and preserve 705 affordable homes in Nashville, Tennessee, and in Seattle. The projects are in neighborhoods facing increasing rents and displacement pressures, and five out of the six investments are with local minority-led organizations. Since the launch of the Fund in 2021, Amazon has created or preserved over 8,000 affordable homes, increasing the affordable housing inventory in Bellevue, Washington, and Arlington, Virginia, by at least 20% in one year.

  • In India, Amazon raised its pledge to now enable $20 billion in cumulative exports by 2025. Since launching in 2015, Amazon’s Global Selling program has grown to more than 100,000 exporters that are showcasing millions of Made in India products to customers worldwide through Amazon’s store. Indian exporters are on track to surpass $5 billion in cumulative exports. In Italy, Amazon announced a new pledge to help the more than 18,000 small and medium-sized businesses selling on Amazon reach €1.2 billion in annual export sales by 2025. This pledge will support the objectives of the Italian government’s National Recovery and Resilience Plan while ensuring a wider availability of original Italian products to customers worldwide.

  • In India, Amazon launched Smart Commerce, a new initiative to further digitize local retail stores by enabling them to create customized online storefronts and provide an enhanced in-store shopping experience. Stores of any size will now take advantage of Amazon’s shopping innovations, logistics, and digital payments to provide a reliable and trustworthy experience for customers in store, directly through their dedicated online storefronts or on Amazon.in. There are more than 150,000 local stores already selling on Amazon.in, and Amazon is committed to digitizing 10 million small businesses, including local stores, by 2025.

  • AWS announced that it selected 34 startups to receive funding and guidance across three accelerators in Sustainable Cities, Space, and Clean Energy. Each startup is eligible to receive technical guidance, business development and strategy support, collaboration opportunities with AWS customers and members of the AWS Partner Network, and up to $100,000 in AWS promotional credits.

Protecting the Planet

  • In the U.S., Amazon started making customer deliveries with its custom Rivian electric delivery vehicles (EDVs). This rollout is the start of what Amazon plans to be thousands of EDVs in more than 100 cities by the end of 2022—and 100,000 EDVs across the U.S. by 2030. In India, Amazon signed an agreement with Tata Motors to include the new Tata Ace electric vehicle as part of Amazon’s delivery fleet. The new EDV was co-developed with Amazon and will contribute to the company’s goal of having 10,000 EDVs on the road in India by 2025. In the UK, Amazon announced the launch of its first micromobility hub for more sustainable deliveries in central London. E-cargo bikes and walkers from the new hub, along with Amazon’s electric fleet already on London’s roads, will make over 5 million deliveries a year across more than 10% of London’s Ultra Low Emission Zone.

  • Amazon’s Climate Pledge Fund made new investments in Electric Hydrogen and Sunfire, two developers of electrolyzer technologies. Electrolyzer technology makes green hydrogen using water and renewable electricity. The Fund has announced investments in 18 companies to date as part of its mission to invest in visionary companies whose products and solutions will facilitate the transition to a low-carbon economy.

  • The Climate Pledge announced a collaboration with the National Geographic Society to fund 15 National Geographic Explorers as they document the global climate crisis as part of the Society’s Global Storytellers Fund. The collaboration will advance early career and established storytellers—including photographers, writers, and filmmakers—with the funding, training, and exposure necessary to help inspire global audiences and drive urgent action against the climate crisis.

Financial Guidance

The following forward-looking statements reflect Amazon.com’s expectations as of July 28, 2022, and are subject to substantial uncertainty. Our results are inherently unpredictable and may be materially affected by many factors, such as uncertainty regarding the impacts of the COVID-19 pandemic, fluctuations in foreign exchange rates, changes in global economic conditions and customer demand and spending, inflation, regional labor market and global supply chain constraints, world events, the rate of growth of the Internet, online commerce, and cloud services, and the various factors detailed below. This guidance reflects our estimates as of July 28, 2022 regarding the impacts of the COVID-19 pandemic on our operations as well as the effect of other factors discussed above.

Third Quarter 2022 Guidance

  • Net sales are expected to be between $125.0 billion and $130.0 billion, or to grow between 13% and 17% compared with third quarter 2021. This guidance anticipates an unfavorable impact of approximately 390 basis points from foreign exchange rates.

  • This guidance assumes, among other things, that no additional business acquisitions, restructurings, or legal settlements are concluded.

A conference call will be webcast live today at 2:30 p.m. PT/5:30 p.m. ET, and will be available for at least three months at amazon.com/ir. This call will contain forward-looking statements and other material information regarding the Company’s financial and operating results.

These forward-looking statements are inherently difficult to predict. genuine results and outcomes could differ materially for a variety of reasons, including, in addition to the factors discussed above, the amount that Amazon.com invests in new business opportunities and the timing of those investments, the mix of products and services sold to customers, the mix of net sales derived from products as compared with services, the extent to which we owe income or other taxes, competition, management of growth, potential fluctuations in operating results, international growth and expansion, the outcomes of claims, litigation, government investigations, and other proceedings, fulfillment, sortation, delivery, and data center optimization, risks of inventory management, variability in demand, the degree to which the Company enters into, maintains, and develops commercial agreements, proposed and completed acquisitions and strategic transactions, payments risks, and risks of fulfillment throughput and productivity. Other risks and uncertainties include, among others, risks related to new products, services, and technologies, system interruptions, government regulation and taxation, and fraud. In addition, global economic conditions and additional or unforeseen effects from the COVID-19 pandemic amplify many of these risks. More information about factors that potentially could affect Amazon.com’s financial results is included in Amazon.com’s filings with the Securities and Exchange Commission ("SEC"), including its most exact Annual Report on Form 10-K and subsequent filings.

Our investor relations website is amazon.com/ir and we encourage investors to use it as a way of easily finding information about us. We promptly make available on this website, free of charge, the reports that we file or furnish with the SEC, corporate governance information (including our Code of Business Conduct and Ethics), and select press releases, which may contain material information about us, and you may subscribe to be notified of new information posted to this site.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

AMAZON.COM, INC.

Consolidated Statements of Cash Flows

(in millions)

(unaudited)

Three Months Ended
June 30,

Six Months Ended
June 30,

Twelve Months Ended
June 30,

2021

2022

2021

2022

2021

2022

CASH, CASH EQUIVALENTS, AND RESTRICTED CASH, BEGINNING OF PERIOD

$

34,155

$

36,599

$

42,377

$

36,477

$

37,842

$

40,667

OPERATING ACTIVITIES:

Net income (loss)

7,778

(2,028

)

15,885

(5,872

)

29,438

11,607

Adjustments to reconcile net income (loss) to net cash from operating activities:

Depreciation and amortization of property and equipment and capitalized content costs, operating lease assets, and other

8,038

9,594

15,546

18,572

29,687

37,322

Stock-based compensation

3,591

5,209

5,897

8,459

10,747

15,319

Other operating expense (income), net

18

122

48

337

(372

)

426

Other expense (income), net

(1,258

)

6,104

(2,714

)

14,793

(5,092

)

3,201

Deferred income taxes

701

(1,955

)

2,404

(3,956

)

1,063

(6,670

)

Changes in operating assets and liabilities:

Inventories

(209

)

(3,890

)

(513

)

(6,504

)

(4,082

)

(15,478

)

Accounts receivable, net and other

(4,462

)

(6,799

)

(6,717

)

(8,315

)

(13,294

)

(19,761

)

Accounts payable

47

3,699

(8,219

)

(5,681

)

8,689

6,140

Accrued expenses and other

(1,685

)

(1,412

)

(5,745

)

(7,315

)

1,071

553

Unearned revenue

156

321

1,056

1,657

1,467

2,915

Net cash provided by (used in) operating activities

12,715

8,965

16,928

6,175

59,322

35,574

INVESTING ACTIVITIES:

Purchases of property and equipment

(14,288

)

(15,724

)

(26,370

)

(30,675

)

(52,256

)

(65,358

)

Proceeds from property and equipment sales and incentives

1,300

1,626

2,195

2,835

5,080

6,297

Acquisitions, net of cash acquired, and other

(320

)

(259

)

(950

)

(6,600

)

(3,066

)

(7,635

)

Sales and maturities of marketable securities

13,213

2,608

31,039

25,361

61,512

53,706

Purchases of marketable securities

(21,985

)

(329

)

(36,660

)

(2,093

)

(74,929

)

(25,590

)

Net cash provided by (used in) investing activities

(22,080

)

(12,078

)

(30,746

)

(11,172

)

(63,659

)

(38,580

)

FINANCING ACTIVITIES:

Common stock repurchased

(3,334

)

(6,000

)

(6,000

)

Proceeds from short-term debt, and other

1,176

4,865

3,102

18,608

6,848

23,462

Repayments of short-term debt, and other

(1,176

)

(7,610

)

(3,177

)

(13,841

)

(6,817

)

(18,417

)

Proceeds from long-term debt

18,516

12,824

18,627

12,824

19,158

13,200

Repayments of long-term debt

(41

)

(1

)

(80

)

(1

)

(1,392

)

(1,511

)

Principal repayments of finance leases

(2,804

)

(2,059

)

(6,210

)

(4,836

)

(11,435

)

(9,789

)

Principal repayments of financing obligations

(28

)

(59

)

(95

)

(138

)

(116

)

(205

)

Net cash provided by (used in) financing activities

15,643

4,626

12,167

6,616

6,246

740

Foreign currency effect on cash, cash equivalents, and restricted cash

234

(412

)

(59

)

(396

)

916

(701

)

Net increase (decrease) in cash, cash equivalents, and restricted cash

6,512

1,101

(1,710

)

1,223

2,825

(2,967

)

CASH, CASH EQUIVALENTS, AND RESTRICTED CASH, END OF PERIOD

$

40,667

$

37,700

$

40,667

$

37,700

$

40,667

$

37,700

SUPPLEMENTAL CASH FLOW INFORMATION:

Cash paid for interest on debt

$

179

$

349

$

455

$

628

$

942

$

1,271

Cash paid for operating leases

1,577

2,088

3,217

4,455

5,577

7,960

Cash paid for interest on finance leases

129

95

286

202

569

437

Cash paid for interest on financing obligations

35

55

68

113

127

198

Cash paid for income taxes, net of refunds

1,803

3,145

2,604

3,598

3,526

4,682

Assets acquired under operating leases

5,578

5,101

9,114

7,276

19,576

23,531

Property and equipment acquired under finance leases, net of remeasurements and modifications

1,642

61

3,709

227

9,976

3,579

Thu, 28 Jul 2022 08:01:00 -0500 en-CA text/html https://ca.finance.yahoo.com/news/amazon-com-announces-second-quarter-200100699.html
Killexams : Cloud Storage Market Growing at a CAGR 18.5% | Key Player AWS, Google, Microsoft, IBM, Alibaba Cloud
Cloud Storage Market Growing at a CAGR 18.5% | Key Player AWS, Google, Microsoft, IBM, Alibaba Cloud

“AWS (US), Google (US), Microsoft (US), IBM (US), Alibaba Cloud (China), Oracle (US), Rackspace Technology (US), HPE (US), Dell Technologies (US), Dropbox (US), Box (US), Tencent Cloud (China), Fujitsu (Japan), VMware (US), NetApp (US), Hitachi Vantara (US), Scality (US), Citrix (US), UpCloud (Finland), Huawei (China), DigitalOcean (US), Vultr (US), MinIO (US).”

Cloud Storage Market by Component (Solutions and Services), Application (Primary Storage, Backup and Disaster Recovery, and Archiving), Deployment Type (Public and Private Cloud), Organization Size, Vertical and Region – Global Forecast to 2027

The Cloud Storage Market size is expected to grow from USD 78.6 billion in 2022 to USD 183.7 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 18.5% during the forecast period. The demand for cloud storage is driven by emerging data volumes across enterprises, evolving requisite for provision of the remote workforce with ubiquitous access to data and files, and cost-saving and low Total Cost of Ownership (TCO) benefits of cloud storage solutions.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=902

The services component grow at a higher CAGR during the forecast period

Services play a crucial role in the cloud storage market as these services help before and after the deployment of cloud storage solutions to the clients. Service providers assist their clients in various phases, such as planning, deploying, maintaining, and upgrading cloud storage solutions. The following chapter explains the importance of cloud storage services, such as consulting; integration and implementation; and training, support, and maintenance.

Backup and Disaster recovery segment to grow at the highest CAGR during the forecast period

Backup and disaster recovery applications protect enterprise application data during disasters. They enable customers and enterprises to store and run their systems on the cloud, reduce costs, accelerate the recovery process, and free up resources for other important tasks. These solutions are gaining popularity as they are more reliable and save enterprises the task of maintaining the costly hardware infrastructure needed for backup and disaster recovery. The use of mock drill platforms for disaster recovery enables the addition of resources that can be deployed online in the event of a disaster; this further reduces the recovery time after a major failure. The benefits offered by disaster recovery and backup solutions include data synchronization, online viewing, and easy accessibility.

Request trial Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=902

The major players in the cloud storage market are AWS (US), Google (US), Microsoft (US), IBM (US), Alibaba Cloud (China), Huawei (China), Oracle (US), Rackspace Technology (US), HPE (US), Dell Technologies (US), Dropbox (US), Box (US), Tencent Cloud (China), Fujitsu (Japan), VMware (US), NetApp (US), Hitachi Vantara (US), Scality (US), and Citrix (US). These players have adopted various growth strategies, including new product launches, partnerships, agreements, mergers and acquisitions, and business expansions. Product enhancements, business expansions, and partnerships were the major strategies adopted by these players to achieve a strong foothold in the cloud storage market.

IBM is one of the leading providers of cloud platform services and cognitive solutions, which works across domains such as cloud, IT infrastructure, security, services, and research. The company operates in more than 175 countries and caters to industries worldwide. The company functions through six main segments: Global Technology Services, Cloud and Cognitive Software, Global Business Services, Systems, Global Financing, and Other. IBM offers infrastructure, hosting, and consulting services in customer relationship management, business analytics optimization, outsourcing, software, and security. The company is focused on developing solutions and products powered by the latest technologies, including AI and ML, analytics, big data, and IoT. The company also offers services to help clients transform their businesses, and the service portfolio comprises application services, security, Business Processes and Operations (BPO), cloud services, digital workplace services, and more.

Microsoft’s, one among the leading Cloud storage solutions and service providers, major cloud offerings include SaaS (Microsoft Dynamics Online [Enterprise Resource Planning (ERM) + CRM] and O365 Online), and IaaS and PaaS (Microsoft Azure [compute, integration, and networking]). Microsoft has invested heavily in managed services for hybrid cloud, IoT, and edge computing platforms. Innovations, such as Azure Sphere, Digital Twins, and Azure IoT Central, have placed Microsoft ahead of its competition in the IIoT and edge computing industries. The company introduced Azure Edge Zones, a convergence of cloud managed services, hardware, and high-speed 5G networks. In the cloud storage market, Microsoft offers the Microsoft Azure Storage platform, a cloud storage solution that encompasses various data storage services, including Azure Blobs, a scalable object store for text and binary data; Azure Files, a managed file sharing service for cloud deployments; Azure Queues, a messaging store for messaging between application components; Azure Tables: a NoSQL store for schema-less storage of structured data; Azure Disks, block storage volumes for Azure VMs.

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Wed, 13 Jul 2022 12:00:00 -0500 GetNews en-US text/html https://www.digitaljournal.com/pr/cloud-storage-market-growing-at-a-cagr-18-5-key-player-aws-google-microsoft-ibm-alibaba-cloud
Killexams : The Conductive Paper That Sparked A Revolution

Legendary electrical engineer and linear IC trailblazer Bob Widlar was just like you. What I mean is that he would use everything available to him to mock up circuits, create prototypes, and make things work. One of the simplest and coolest tools he used was a conductive paper called Teledeltos. This wonderful stuff allowed him to define and test various configurations for the oddly-shaped ballast resistors he used in some of his high-performance circuit designs. But it wasn’t created for people like you and Bob. Teledeltos paper was created and trademarked by communications giant Western Union to drastically Strengthen the convenience of telegrams.

Development of the electric telegraph ushered in the era of global communication. Suddenly, people could send messages to the other side of the world in a fraction of the time it took by post. The telegraph absolutely revolutionized human communication. It was the e-mail and the Twitter of its time. The telegraph’s efficiency made the Pony Express pretty much obsolete by the 1860s. And for a very long time it was much cheaper for people to send a telegram than make a long-distance phone call.

The Advantages of Facsimile

Translated from ancient Greek, ‘teledeltos’ basically means writing tablet at a distance. Western Union began developing Teledeltos paper in the 1930s for the purpose of transmitting telegrams by facsimile, a method that would greatly reduce the time it took to input messages into the system and get them out on the other side. As long as both the sender and the receiver had facsimile machines, a handwritten telegram could be transmitted without having to be typed by a clerk or translated into code. Teledeltos paper was also used in a variety of chart recorders, like seismographs and map plotters. The ability to feed a handwritten message, a photograph, or a map of enemy territory into a machine that transmitted an exact copy was a real game changer.

Because of its composition, Teledeltos paper could be easily marked without an electrolyte. It marked so well that photographs and other graphic information could be transmitted, and no processing was required on the receiving end. A dry recording paper is also much less sensitive to light and to temperature extremes. More importantly, properly stored dry paper is impervious to fungal growth. Teledeltos paper could sit around indefinitely without becoming useless. The only real disadvantage to this type of paper was the somewhat laborious process that went into achieving the desired resistance. Fax machines eventually moved on to digital transmission and thermal printing technology.

Image credit: MIT

Sparking a Revolution

Teledeltos paper has a light gray electro-sensitive coating on one side, and the other side is carbon black. When a current is applied with a stylus to the coated side of the paper, the coating is instantly burned away, revealing the carbon black. Teledeltos paper could be marked using either AC or DC. Polarity didn’t matter, either, but the boys in the lab at Western Union had better luck when they used a positive stylus with DC rather than a negative one.

Teledeltos paper was made in two types—“L” for low resistance and “H” for high. The resistivity of a roll of Teledeltos paper depended on the quality of the conductive fibers that went into it. The paper’s electrical characteristics were also influenced by the fiber beating process and the distribution of the conductive fibers by the supercalender, a system of hard rollers used in papermaking and other processes that press and smooth paper and other materials to increase the density.

Teledeltos to the Rescue

The Western Union Telecar printed telegrams on the go and delivered them to homes and businesses.
The Western Union Telecar printed telegrams on the go and delivered them to homes and businesses. Image credit: Modern Mechanix

Western Union was eager to extend its reach into private businesses and public places so that patrons who weren’t heavy telegram users didn’t have to visit a telegram office in order to share a bit of good news or to send their condolences. The company’s Telefax division came up with several types of machines to serve different business needs.

Some messages continued to be delivered by hand, but they weren’t printed at the central office. Western Union created a Telecar service to print telegrams transmitted to the car by the central office and deliver them to people’s homes. Messages were printed onto recording blanks that were cut automatically by a Telefax recorder situated in the car’s passenger area. The Telecar’s radio and amplification equipment was in the trunk.

The standard Telefax machine for office use was fairly large, like an early microwave oven. A smaller version called the DeskFax was only about the size of a breadbox, and these units occupied the desks of many businessmen and secretaries because of their convenience.

A Western Union DeskFax unit. Image from [B. Hilpert]http://www.cs.ubc.ca/~hilpert/e/deskfax/
A Western Union DeskFax unit. Image from [B. Hilpert]
Both the Telefax and the DeskFax scanned and recorded telegrams using a rotary drum mechanism. A message could either be typed or handwritten onto a telegram blank. The sender then wrapped the telegram around a drum and set the machine to send. The machine would scan the message optically and then transmit it to the central office.

Before sending it on to the recipient, an attendant at the telegram office had to remove the incoming message and wrap it around the drum of a transmitting machine. Once connected to the receiving party’s line, the far end unit would buzz to arouse attention. The receiving patron would then load a blank on to their DeskFax’s roller and set their machine to receive.

Teledeltos for Hacking and Education

Measuring potential differences. Image from https://physics.ucsd.edu/students/courses/summer2010/physicslabs/SS2101BLLab03.pdf
Measuring potential differences.
Image from UCSD

Conductive paper like Teledeltos has many applications aside from fax machines and Fathometers. For starters, it’s great for making one-offs of both standard and variable resistors. Conductive paint can be used as connection points for wires. The paper is also well-suited for simulating current flow through circuits using a fraction of the current intended in production. Vacuum tube designers used Teledeltos for modeling potentials. Teledeltos can also be used to visualize electromagnetic potentials and perform field plotting.

We’re sure that at least a few of our readers out there used Teledeltos or something like it in school or on the job. Did you know you can still buy it? Teledeltos paper itself is still available from two companies in the UK, Better Equipped and Timstar. In the US, you can get it from Pasco in packs of 50 and 100 sheets, with and without a grid pattern.

[Teledeltos paper image is a product photo from Better Equipped]

Wed, 27 Jul 2022 12:00:00 -0500 Kristina Panos en-US text/html https://hackaday.com/2015/09/28/the-conductive-paper-that-sparked-a-revolution/
Killexams : Cloud Security Market Size to Reach USD 106.02 Billion [2022-2029] | 18.1% CAGR

Fortune Business Insights

According to Fortune Business Insights, the global Cloud Security Market Size is projected to hit USD 106.02 Billion in 2029, at CAGR of 18.1 % during forecast period [2022-2026]; Rising Adoption of Cloud Computing Solutions & Applications to Augment Market Growth

Pune, India, Aug. 02, 2022 (GLOBE NEWSWIRE) -- The cloud security market size was USD 29.26 billion in 2021. The market is projected to grow from USD 33.13 billion in 2022 to USD 106.02 billion in 2029 at a CAGR of 18.1% during the 2022-2029 period. This vital information is presented by Fortune Business Insights™, in its report, titled, “Cloud Security Market Share, 2022-2029.” Factors such as the rising adoption of managed container services coupled with an ongoing trend of crypto-jacking will increase the market's footprint during the forecast period. Additionally, the rising adoption of cloud computing services and applications will boost the market's growth.

Industry Development

  • July 2020 – Fortinet Inc. announced the launch of a new security solution for Multi-Cloud, Fortinet Secure SD-WAN. This solution complements the company’s existing Secure SD-WAN Cloud On-Ramp abilities and helps businesses and users establish a secure connection with cloud solutions and cloud applications.

  • July 2021 – Microsoft Corporation acquired CloudKnox Security. This acquisition will help Microsoft offer cloud entitlement management and unified privileged access.

Request a trial Copy of the Research Report: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/cloud-security-market-102427

Report Scope & Details:

Report Coverage

Details

Forecast Period

2022-2029

Forecast Period 2022 to 2029 CAGR

18.1%

2029 Value Projection

USD 106.02 billion

Base Year

2021

Market Size in 2021

USD 29.26 billion

Historical Data for

2018-2020

No. of Pages

160

Segments covered

Security Type, Enterprise Size, End-User, and Region

Cloud Security Market Growth Drivers

Rising Adoption of Cloud Computing Solutions & Applications to Augment Market Growth

Regional Insights

North America to Exert Dominance During Forecast due to Rising Initiatives by Government Bodies

  • North America is expected to hold the largest cloud security market share during the forecast period due to various initiatives undertaken by government agencies for increasing investments in security solutions to name a few. Additionally, rising collaborative efforts among the prominent players in the market coupled with increasing phishing and cyber-attacks will increase the footprint of the market in the region.

  • The Asia Pacific will account for a substantial market share in terms of global contribution due to a combinative effort between government agencies and private players in emerging economies such as China, India, Japan, South Korea, and South East Asia. Additionally, rising investments in cloud security will further strengthen the market’s growth in the region.

Drivers & Restraints

Rising Adoption of Cloud Computing Solutions & Applications to Augment Market Growth

Factors such as the rising implementation of cloud computing towards data monitoring solutions coupled with rising demand for massive storage applications will boost the cloud security market growth during the forecast period. Additionally, the rising adoption of managed container services and solutions coupled with increasing cyber-attacks will increase the footprint of the market. Also, an ongoing trend of crypto-jacking will fuel the growth of the market towards an extended boundary.

However, budget and data privacy measures will limit the growth of the market during the forecast period.

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Market Segmentations:

Based on security type, the market can be divided into identity and access management (IAM), data loss prevention (DLP), security information and event management (SIEM), Business continuity and disaster recovery, and others (operations management, etc.)

By enterprise size, the market can be broken down into large enterprises and small and medium-sized enterprises (SMEs).

With respect to end-user, the market can be segmented into IT and telecommunications, banking, financial services and insurance (BFSI), healthcare and life sciences, manufacturing, retail, government, energy and utilities, and others.

In terms of geography, the Cloud Security Market Share can be categorized into North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America.

Segmentations

By Security Type

  • Identity and access management

  • Data loss prevention (DLP)

  • Security information and event management (SIEM)

  • Business continuity and disaster recovery

  • Others (Risk and Compliance Management, etc.)

By Enterprise Size

By End-user

  • IT and Telecommunications

  • Banking, Finance, Security and Insurance (BFSI)

  • Healthcare and Life Sciences

  • Manufacturing

  • Retail

  • Government

  • Energy and Utilities

  • Others (Energy and Utilities, Government, Others)

Report Coverage

The market report for cloud security includes a qualitative and quantitative analysis by presenting a detailed overview of the market size, growth, and volume for all segments and subsegments. Additionally, the report further provides the current market dynamics, ongoing and emerging trends, and a competitive landscape. Factors that are expected to impact the market in a meaningful way are also noted and elaborated.

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COVID-19 Impact

Pandemic to Cause a Positive Impact on Market Owing to Migration of Workloads from On-Site Towards Cloud

The COVID-19 pandemic resulted in a positive growth environment for the sector of cloud security due to the accelerated adoption of solutions and services. During the ongoing pandemic situation, huge growth in usage of containers was observed, triggering an increase in the market volume. Since a majority of the workforce transitioned into a work-from-home situation, rising demand for hybrid solutions was adopted which further led to an increase in the market share. Amid COVID-19, many organizations began shifting massive amounts of the workload from data centers and on-premises towards the cloud. This led to an exponential increase in cloud usage solutions, further leading to a boost in the cloud security market growth.

Competitive Landscape

Enhanced Product Offerings from Prominent Players to Help Exert Dominance During Forecast

The sector of cloud security is dominated by various players such as Microsoft Corporation, Cisco Systems, Inc., IBM Corporation, Palo Alto Networks, Inc., and Broadcom Inc. These players are focused on launching innovative products in order to strengthen their current product offering. For example, in August 2021, McAfee Inc. announced launching MVISION Private access. This will enable an approach for zero-trust access and extend data and threat protection capabilities for private applications that are hosted across hybrid IT environments. Other players are focused on employing strategic tactics such as mergers & acquisitions and collaborations for occupying a larger market share. For example, in July 2020, Quick Heal Technologies announced launching their next cybersecurity solution for various business practices from data breaches. This offering aims to integrate cloud-based email security, data protection and privacy suits from security attacks.

Companies Profiled in the Cloud Security Market Research Report:

  • Trend Micro Incorporated (Tokyo, Japan)

  • Cisco Systems, Inc. (California, U.S.)

  • McAfee, Inc. (California, U.S.)

  • Palo Alto Networks, Inc. (California, U.S.)

  • Check Point Software Technologies (Tel Aviv-Yafo, Israel)

  • Microsoft Corporation (Washington, U.S.)

  • IBM Corporation (New York, U.S.)

  • Splunk Inc. (California, U.S.)

  • Alphabet Inc. (California, U.S.)

  • Amazon.com (Washington, U.S.)

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Major Table of Content Points:

  • Introduction

  • Executive Summary

  • Market Dynamics

  • Competition Landscape

    • Business Strategies Adopted by Key Players

    • Consolidated SWOT Analysis of Key Players

    • Global Cloud Security Key Players Market Share Insights and Analysis, 2021

  • Global Cloud Security Market Size Estimates and Forecasts, By Segments, 2018-2029

    • Key Findings

    • By Security Type (USD)

      • Identity and access management

      • Data loss prevention (DLP)

      • Security information and event management (SIEM)

      • Business continuity and disaster recovery

      • Other(operations Management, risk and compliance management)

    • By Enterprise Size (USD)

    • By End-user (USD)

      • IT and Telecommunications

      • Banking, Finance, Security and Insurance (BFSI)

      • Healthcare and Life Sciences

      • Manufacturing

      • Retail

      • Government

      • Energy and Utilities

      • Others (Transportation & warehousing , education services, etc.)

    • By Region (USD)

      • North America

      • Latin America

      • Europe

      • Middle East & Africa

      • Asia Pacific

  • North America Cloud Security Market Size Estimates and Forecasts, By Segments, 2018-2029

TOC Continued…!

FREQUENTLY ASKED QUESTIONS

1. Who has the best cloud security?

Microsoft Corporation, Cisco Systems, Inc., IBM Corporation, Palo Alto Networks, Inc., Broadcom Inc. and others are the major players in the global market.

2. How big is the cloud security market?

Fortune Business Insights says that the global market size was USD 29.26 billion in 2021 and is projected to reach USD 106.02 billion by 2029.

3. Which region held the highest share in the market?

North America dominated the market share in 2021.

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