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Killexams : IBM Technical resources - BingNews https://killexams.com/pass4sure/exam-detail/000-R14 Search results Killexams : IBM Technical resources - BingNews https://killexams.com/pass4sure/exam-detail/000-R14 https://killexams.com/exam_list/IBM Killexams : IBM Research Rolls Out A Comprehensive AI And Platform-Based Edge Research Strategy Anchored By Enterprise Use Cases And Partnerships

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

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

Edge In, not Cloud Out

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

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

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

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

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

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

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

Why edge is important

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

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

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

IBM at the Edge

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

Example #1 – McDonald’s drive-thru

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

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

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

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

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

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

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

IBM market opportunities

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

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

Challenges with scaling

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

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

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

IBM AI entry points at the edge

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

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

Industry 4.0

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

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

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

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

Maximo Application Suite

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

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

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

Day-2 AI Operations (retraining and scaling)

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

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

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

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

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

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

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

Data Fabric Extensions to Hub and Spokes

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

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

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

Multicloud and Edge platform

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

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

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

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

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

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

Telco network intelligence and slice management with AL/ML

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

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

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

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

5G network slicing and slice management

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

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

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

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

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

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

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

5G radio access

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

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

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

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

IBM Cloud and Infrastructure

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

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

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

Wrap up

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

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

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

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

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

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

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

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

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

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

Mon, 08 Aug 2022 03:51:00 -0500 Paul Smith-Goodson en text/html https://www.forbes.com/sites/moorinsights/2022/08/08/ibm-research-rolls-out-a-comprehensive-ai-and-ml-edge-research-strategy-anchored-by-enterprise-partnerships-and-use-cases/
Killexams : How IBM Could Become A Digital Winner

Last week, after IBM’s report of positive quarterly earnings, CEO Arvind Krishna and CNBC’s Jim Cramer shared their frustration that IBM’s stock “got clobbered.” IBM’s stock price immediately fell by10%, while the S&P500 remained steady (Figure 1)

While a five-day stock price fluctuation is by itself meaningless, questions remain about the IBM’s longer-term picture. “These are great numbers,” declared Krishna.

“You gave solid revenue growth and solid earnings,” Cramer sympathized. “You far exceeded expectations. Maybe someone is changing the goal posts here?”

The Goal Posts To Become A Digital Winner

It is also possible that Krishna and Cramer missed where today’s goal posts are located. Strong quarterly numbers do not a digital winner make. They may induce the stock market to regard a firm as a valuable cash cow, like other remnants of the industrial era. But to become a digital winner, a firm must take the kind of steps that Satya Nadella took at Microsoft to become a digital winner: kill its dogs, commit to a mission of customer primacy, identify real growth opportunities, transform its culture, make empathy central, and unleash its agilists. (Figure 2)

Since becoming CEO, Nadella has been brilliantly successful at Microsoft, growing market capitalization by more than a trillion dollars.

Krishna’s Two Years As CEO

Krishna has been IBM CEO since April 2020. He began his career at IBM in 1990, and had been managing IBM’s cloud and research divisions since 2015. He was a principal architect of the Red Hat acquisition.

They are remarkable parallels between the careers of Krishna and Nadella.

· Both are Indian-American engineers, who were born in India.

· Both worked at the firm for several decades before they became CEOs.

· Prior to becoming CEOs, both were in charge of cloud computing.

Both inherited companies in trouble. Microsoft was stagnating after CEO Steve Ballmer, while IBM was also in rapid decline, after CEO Ginny Rometty: the once famous “Big Blue” had become known as a “Big Bruise.”

Although it is still early days in Krishna’s CEO tenure, IBM is under-performing the S&P500 since he took over (Figure 3).

More worrying is the fact that Krishna has not yet completed the steps that Nadella took in his first 27 months. (Figure 1).

1. Jettison Losing Baggage

Nadella wrote off the Nokia phone and declared that IBM would no longer sell its flagship Windows as a business. This freed up energy and resources to focus on creating winning businesses.

By contrast, Krishna has yet to jettison, IBM’s most distracting baggage:

· Commitment to maximizing shareholder value (MSV): For the two prior decades, IBM was the public champion of MSV, first under CEO Palmisano 2001-2011, and again under Rometty 2012-2020—a key reason behind IBM’s calamitous decline (Figure 2) Krishna has yet to explicitly renounce IBM’s MSV heritage.

· Top-down bureaucracy: The necessary accompaniment of MSV is top-down bureaucracy, which flourished under CEOs Palmisano and Rometty. Here too, bureaucratic processes must be explicitly eradicated, otherwise they become permanent weeds.

· The ‘Watson problem’: IBM’s famous computer, Watson, may have won ‘Jeopardy!’ but it continues to have problems in the business marketplace. In January 2022, IBM reported that it had sold Watson Health assets to an investment firm for around $1 billion, after acquisitions that had cost some $4 billion. Efforts to monetize Watson continue.

· Infrastructure Services: By spinning off its Cloud computing business as a publicly listed company (Kyndryl), IBM created nominal separation, but Kyndryl immediately lost 57% of its share value.

· Quantum Computing: IBM pours resources into research on quantum computing and touts its potential to revolutionize computing. However unsolved technical problems of “decoherence” and “entanglement” mean that any meaningful benefits are still some years away.

· Self-importance: Perhaps the heaviest baggage that IBM has yet to jettison is the over-confidence reflected in sales slogans like “no one ever got fired for hiring IBM”. The subtext is that firms “can leave IT to IBM” and that the safe choice for any CIO is to stick with IBM. It’s a status quo mindset—the opposite of the clients that IBM needs to attract.

2. Commit To A Clear Customer-Obsessed Mission

At the outset of his tenure as CEO of Microsoft, Nadella spent the first nine months getting consensus on a simple customer-driven mission statement.

Krishna did write at the end of the letter to staff on day one as CEO, and he added at the end:“Third, we all must be obsessed with continually delighting our clients. At every interaction, we must strive to offer them the best experience and value. The only way to lead in today’s ever-changing marketplace is to constantly innovate according to what our clients want and need.” This would have been more persuasive if it had come at the beginning of the letter, and if there had been stronger follow-up.

What is IBM’s mission? No clear answer appears from IBM’s own website. The best one gets from About IBM is the fuzzy do-gooder declaration: “IBMers believe in progress — that the application of intelligence, reason and science can Improve business, society and the human condition.” Customer primacy is not explicit, thereby running the risk that IBM’s 280,000 employees will assume that the noxious MSV goal is still in play.

3. Focus On Major Growth Opportunities

At Microsoft, Nadella dismissed competing with Apple on phones or with Google on Search. He defined the two main areas of opportunity—mobility and the cloud.

Krishna has identified the Hybrid Cloud and AI as IBM’s main opportunities. Thus, Krishna wrote in his newsletter to staff on day one as CEO: “Hybrid cloud and AI are two dominant forces driving change for our clients and must have the maniacal focus of the entire company.”

However, both fields are now very crowded. IBM is now a tiny player in Cloud in comparison to Amazon, Microsoft, and Google. In conversations, Krishna portrays IBM as forging working partnerships with the big Cloud players, and “integrating their offerings in IBM’s hybrid Cloud.” One risk here is whether the big Cloud players will facilitate this. The other risk is that IBM will attract only lower-performing firms that use IBM as a crutch so that they can cling to familiar legacy programs.

4. Address Culture And The Importance Of Empathy Upfront

At Microsoft, Nadella addressed culture upfront, rejecting Microsoft’s notoriously confrontational culture, and set about instilling a collaborative customer-driven culture throughout the firm.

Although Krishna talks openly to the press, he has not, to my knowledge, frontally addressed the “top-down” “we know best” culture that prevailed in IBM under his predecessor CEOs. He has, to his credit, pledged “neutrality” with respect to the innovative, customer-centric Red Hat, rather than applying the “Blue washing” that the old IBM systematically applied to its acquisitions to bring them into line with IBM’s top-down culture, and is said to have honored its pledge—so far. But there is little indication that IBM is ready to adopt Red Hat’s innovative culture for itself. It is hard to see these two opposed cultures remain “neutral” forever. Given the size differential between IBM and Red Hat, the likely winner is easy to predict, unless Krishna makes a more determined effort to transform IBM’s culture.

5. Empower The Hidden Agilists

As in any large tech firm, when Nadella and Krishna took over their respective firms, there were large hidden armies of agilists waiting in the shadows but hamstrung by top-down bureaucracies. At Microsoft, Nadella’s commitment to “agile, agile, agile” combined with a growth mindset, enabled a fast start.. At IBM, if Krishna has any passion for Agile, it has not yet shared it widely.

Bottom Line

Although IBM has made progress under Krishna, it is not yet on a path to become a clear digital winner.

And read also:

Is Your Firm A Cash-Cow Or A Growth-Stock?

Why Companies Must Learn To Discuss The Undiscussable

Sun, 24 Jul 2022 23:19:00 -0500 Steve Denning en text/html https://www.forbes.com/sites/stevedenning/2022/07/25/how-ibm-could-become-a-digital-winner/
Killexams : Cohesive Announces Acquisition of MaximoCon, Technical Maximo Consultancy

Enhances Ability to Deliver Enterprise Asset Management Solutions to Organizations Globally, and Further Solidifies Its Position as a Leading IBM Maximo Implementation Partner 

EXTON, Pa. – August 9, 2022 – Cohesive, a wholly owned, independently operated, digital integrator business unit of Bentley Systems, Incorporated (Nasdaq: BSY), the infrastructure engineering software company, today announced the acquisition of MaximoCon, a Brazil-based consultancy specializing in technical services for IBM Maximo, IBM’s enterprise asset management solution. 

MaximoCon has worked with Cohesive on a variety of global Maximo systems integration projects and is a long-time partner. Founded in 2015, the MaximoCon team offers both technical and functional senior-level expertise to Maximo implementations. MaximoCon will operate as an integral part of Cohesive. 

Through the 2020 and 2021 combination of several acquisitions of industry leading advisory and consultancy businesses, Bentley Systems formed the digital integrator business, now newly branded as Cohesive, to advise and support infrastructure owner-operators in their digital transformations. Cohesive partners with clients to develop their digital strategies spanning the full infrastructure asset lifecycle, upgrade their enterprise environments, leverage digitalization and drive better ESG outcomes around efficiency, reliability, and sustainability.  

Clients understand that going digital will accelerate operations in a way that produces better outcomes for businesses and communities. The digital ecosystem of data, tools, and processes must be strategically adopted and integrated to meet the unique needs of the businesses while incorporating best practices. A sophisticated enterprise asset management system such as IBM Maximo is a critical component of the integrated digital ecosystem that enables data-driven decisions. MaximoCon will enable Cohesive to expand its technical and functional delivery resources, activating more teams and increasing depth in skill for enterprise asset management projects. 

“Digitalization in enterprise asset management is a big priority for our clients and a key part of the digital twin core capability,” said Mark Bew, CEO of Cohesive. “Adding MaximoCon to our global team will further expand the already deep expertise we have in Maximo and drive more efficient delivery for our clients and help us gain access to the South American market. We have been partnering with MaximoCon on many projects and are excited to welcome them to the Cohesive family.”  

Leonardo Bastos, executive of MaximoCon, said, “We are thrilled to join Cohesive and enhance the delivery of their implementations around IBM Maximo. Pairing the senior technical expertise of our firm with Cohesive’s deep experience of process, industry, and digital solutions provides a truly integrated and end-to-end experience for our clients.” 

Bastos joins Cohesive along with other executive partners Breno Vida and Péricles Foureaux. 

About Cohesive 

Cohesive is a new business created by the coming together of top quality, industry-leading brands. The businesses have been selected, by Bentley Systems, to provide a blend of industry experts and lifecycle capabilities enabling Cohesive to support the most complex projects anywhere in the world. Cohesive partners with asset owner-operators and enterprise leaders to design and deliver transformational outcomes, in both built and natural environments that enable clients to deliver on their service, financial, and social goals.   

Learn more at https://cohesivegroup.com 

Tue, 09 Aug 2022 02:35:00 -0500 text/html https://www.directionsmag.com/pressrelease/11717
Killexams : IBM 'continuing to hire' ahead of recession

Read more: Safeguard Global CTO: Tech talent remains highly sought after

But IBM has always carved its own path. For example, the Armonk, NY-based company doesn’t use the term “Great Resignation,” at least internally. Of course, that doesn’t mean the tech giant isn’t aware of the nationwide talent shortage and the highly competitive labor market that’s resulted.

“This is a time to ensure we re-engage our population,” Louissaint says. “By nature of my title, my goal is to continue to transform and pivot our company toward being more growth-minded, transforming it directly through leadership: leadership development, getting people in the right jobs and ensuring we have the right succession plans.”

Like many companies since the COVID-19 pandemic, IBM has relied upon its business resource groups – its label for employee resource groups (ERGs) – to maintain and even boost retention. Traditionally, ERGs consist of employees who volunteer their time and effort to foster an inclusive workplace. Due to their motivations, needs and the general nature of ERG work, employees who lead these groups are more likely to be Black, Indigenous and People of Color (BIPOC) and oftentimes women. ERGs are a way for underrepresented groups to band together to recruit more talent like them into their companies and make sure that talent feels supported and gets promoted.

“It’s a lot easier to leave a company where you’ve only interacted with colleagues through a screen,” Louissaint says. “Our diversity groups and communities have gotten a lot stronger, which builds commitment to the company and community to each other. We’ve found that through our communities, business resource groups, open conversations and by democratizing leadership by using virtual technologies like Slack, the company has become smaller and the interactions are a lot more personal.”

A major contributor to the Great Resignation has been the push for workers to return to the office. While Apple and Google have ruffled feathers with requesting employees back for at least a couple days a week, Tesla went one step further by demanding employees head to the office five days a week, as if the COVID-19 pandemic never happened.

Ahead of the game, IBM was one of the first major tech firms to embrace remote work, with as much as 40% of its workforce at home during the 2000s. A shift came in 2017, but since the pandemic, only 20% of the company’s U.S. employees are in the office for three days a week or more, according to IBM CEO Arvind Krishna. In June, Krishna added that he doesn’t think the balance will ever get back to more than 60% of workers in the office.

“We’ve always been defined by flexibility, even prior to the pandemic that’s what we were known for and what differentiated us,” Louissaint says. “Continuing to double down on flexibility has been a value to us and to our people.”

IBM has also been defined by its eye toward the future, particularly when it comes to workforce development. Over the past decade, the tech giant has partnered with educational institutions, non-governmental organizations and other companies to discover and nurture talent from untapped pools and alternative channels. Last year, the company vowed to train 30 million individuals on technical skills by 2030.

“Our people crave learning and are highly curious,” Louissaint says, adding that the average IBM employee consumes about 88 hours of learning through its platform each year. Nearly all (95%) employees are on the platform in any given quarter.

“We’ve been building a strong learning environment where employees can build new skills and drive toward new jobs and experiences,” he says. “We also find that the individuals who consume the most learning are more likely to get promoted. It’s 30% more likely for a super learner to be promoted or switch jobs, so the incentive is continued growth and opportunity for advancement.”

Wed, 03 Aug 2022 16:00:00 -0500 en text/html https://www.hcamag.com/us/specialization/learning-development/ibm-continuing-to-hire-ahead-of-recession/415538
Killexams : Colorado’s P-TECH Students Graduate Ready for Tech Careers (TNS) — Abraham Tinajero was an eighth grader when he saw a poster in his Longmont middle school’s library advertising a new program offering free college with a technology focus.

Interested, he talked to a counselor to learn more about P-TECH, an early college program where he could earn an associate’s degree along with his high school diploma. Liking the sound of the program, he enrolled in the inaugural P-TECH class as a freshman at Longmont’s Skyline High School.

“I really loved working on computers, even before P-TECH,” he said. “I was a hobbyist. P-TECH gave me a pathway.”


He worked with an IBM mentor and interned at the company for six weeks as a junior. After graduating in 2020 with his high school diploma and the promised associate’s degree in computer science from Front Range Community College, he was accepted to IBM’s yearlong, paid apprenticeship program.

IBM hired him as a cybersecurity analyst once he completed the apprenticeship.

“P-TECH has given me a great advantage,” he said. “Without it, I would have been questioning whether to go into college. Having a college degree at 18 is great to put on a resume.”


Stanley Litow, a former vice president of IBM, developed the P-TECH, or Pathways in Technology Early College High Schools, model. The first P-TECH school opened 11 years ago in Brooklyn, New York, in partnership with IBM.

Litow’s idea was to get more underrepresented young people into tech careers by giving them a direct path to college while in high school — and in turn create a pipeline of employees with the job skills businesses were starting to value over four-year college degrees.

The program, which includes mentors and internships provided by business partners, gives high school students up to six years to earn an associate's degree at no cost.

SKYLINE HIGH A PIONEER IN PROGRAM

In Colorado, St. Vrain Valley was among the first school districts chosen by the state to offer a P-TECH program after the Legislature passed a bill to provide funding — and the school district has embraced the program.

Colorado’s first P-TECH programs started in the fall of 2016 at three high schools, including Skyline High. Over the last six years, 17 more Colorado high schools have adopted P-TECH, for at total of 20. Three of those are in St. Vrain Valley, with a fourth planned to open in the fall of 2023 at Longmont High School.

Each St. Vrain Valley high school offers a different focus supported by different industry partners.

Skyline partners with IBM, with students earning an associate’s degree in Computer Information Systems from Front Range. Along with being the first, Skyline’s program is the largest, enrolling up to 55 new freshmen each year.

Programs at the other schools are capped at 35 students per grade.

Frederick High’s program, which started in the fall of 2019, has a bioscience focus, partners with Aims Community College and works with industry partners Agilent Technologies, Tolmar, KBI Biopharma, AGC Biologics and Corden Pharma.

Silver Creek High’s program started a year ago with a cybersecurity focus. The Longmont school partners with Front Range and works with industry partners Seagate, Cisco, PEAK Resources and Comcast.

The new program coming to Longmont High will focus on business.

District leaders point to Skyline High’s graduation statistics to illustrate the program’s success. At Skyline, 100 percent of students in the first three P-TECH graduating classes earned a high school diploma in four years.

For the 2020 Skyline P-TECH graduates, 24 of the 33, or about 70 percent, also earned associate’s degrees. For the 2021 graduating class, 30 of the 47 have associate’s degrees — with one year left for those students to complete the college requirements.

For the most exact 2022 graduates, who have two years left to complete the college requirements, 19 of 59 have associate’s degrees and another six are on track to earn their degrees by the end of the summer.

JUMPING AT AN OPPORTUNITY

Louise March, Skyline High’s P-TECH counselor, keeps in touch with the graduates, saying 27 are working part time or full time at IBM. About a third are continuing their education at a four year college. Of the 19 who graduated in 2022 with an associate’s degree, 17 are enrolling at a four year college, she said.

Two of those 2022 graduates are Anahi Sarmiento, who is headed to the University of Colorado Boulder’s Leeds School of Business, and Jose Ivarra, who will study computer science at Colorado State University.

“I’m the oldest out of three siblings,” Ivarra said. “When you hear that someone wants to deliver you free college in high school, you take it. I jumped at the opportunity.”

Sarmiento added that her parents, who are immigrants, are already working two jobs and don’t have extra money for college costs.

“P-TECH is pushing me forward,” she said. “I know my parents want me to have a better life, but I want them to have a better life, too. Going into high school, I kept that mentality that I would push myself to my full potential. It kept me motivated.”

While the program requires hard work, the two graduates said, they still enjoyed high school and had outside interests. Ivarra was a varsity football player who was named player of the year. Sarmiento took advantage of multiple opportunities, from helping elementary students learn robotics to working at the district’s Innovation Center.

Ivarra said he likes that P-TECH has the same high expectations for all students, no matter their backgrounds, and gives them support in any areas where they need help. Spanish is his first language and, while math came naturally, language arts was more challenging.

“It was tough for me to see all these classmates use all these big words, and I didn’t know them,” he said. “I just felt less. When I went into P-TECH, the teachers focus on you so much, checking on every single student.”

They said it’s OK to struggle or even fail. Ivarra said he failed a tough class during the pandemic, but was able to retake it and passed. Both credited March, their counselor, with providing unending support as they navigated high school and college classes.

“She’s always there for you,” Sarmiento said. “It’s hard to be on top of everything. You have someone to go to.”

Students also supported each other.

“You build bonds,” Ivarra said. “You’re all trying to figure out these classes. You grow together. It’s a bunch of people who want to succeed. The people that surround you in P-TECH, they push you to be better.”

SUPPORT SYSTEMS ARE KEY

P-TECH has no entrance requirements or prerequisite classes. You don’t need to be a top student, have taken advanced math or have a background in technology.

With students starting the rigorous program with a wide range of skills, teachers and counselors said, they quickly figured out the program needed stronger support systems.

March said freshmen in the first P-TECH class struggled that first semester, prompting the creation of a guided study class. The every other day, hour-and-a-half class includes both study time and time to learn workplace skills, including writing a resume and interviewing. Teachers also offer tutoring twice a week after school.

“The guided study has become crucial to the success of the program,” March said.

Another way P-TECH provides extra support is through summer orientation programs for incoming freshmen.

At Skyline, ninth graders take a three-week bridge class — worth half a credit — that includes learning good study habits. They also meet IBM mentors and take a field trip to Front Range Community College.

“They get their college ID before they get their high school ID,” March said.

During a session in June, 15 IBM mentors helped the students program a Sphero robot to travel along different track configurations. Kathleen Schuster, who has volunteered as an IBM mentor since the P-TECH program started here, said she wants to “return some of the favors I got when I was younger.”

“Even this play stuff with the Spheros, it’s teaching them teamwork and a little computing,” she said. “Hopefully, through P-TECH, they will learn what it takes to work in a tech job.”

Incoming Skyline freshman Blake Baker said he found a passion for programming at Trail Ridge Middle and saw P-TECH as a way to capitalize on that passion.

“I really love that they deliver you options and a path,” he said.

Trail Ridge classmate Itzel Pereyra, another programming enthusiast, heard about P-TECH from her older brother.

“It’s really good for my future,” she said. “It’s an exciting moment, starting the program. It will just help you with everything.”

While some of the incoming ninth graders shared dreams of technology careers, others see P-TECH as a good foundation to pursue other dreams.

Skyline incoming ninth grader Marisol Sanchez wants to become a traveling nurse, demonstrating technology and new skills to other nurses. She added that the summer orientation sessions are a good introduction, helping calm the nerves that accompany combining high school and college.

“There’s a lot of team building,” she said. “It’s getting us all stronger together as a group and introducing everyone.”

THE SPARK OF MOTIVATION

Silver Creek’s June camp for incoming ninth graders included field trips to visit Cisco, Seagate, PEAK Resources, Comcast and Front Range Community College.

During the Front Range Community College field trip, the students heard from Front Range staff members before going on a scavenger hunt. Groups took photos to prove they completed tasks, snapping pictures of ceramic pieces near the art rooms, the most expensive tech product for sale in the bookstore and administrative offices across the street from the main building.

Emma Horton, an incoming freshman, took a cybersecurity class as a Flagstaff Academy eighth grader that hooked her on the idea of technology as a career.

“I’m really excited about the experience I will be getting in P-TECH,’ she said. “I’ve never been super motivated in school, but with something I’m really interested in, it becomes easier.”

Deb Craven, dean of instruction at Front Range’s Boulder County campus, promised the Silver Creek students that the college would support them. She also gave them some advice.

“You need to advocate and ask for help,” she said. “These two things are going to help you the most. Be present, be engaged, work together and lean on each other.”

Craven, who oversees Front Range’s P-TECH program partnership, said Front Range leaders toured the original P-TECH program in New York along with St. Vrain and IBM leaders in preparation for bringing P-TECH here.

“Having IBM as a partner as we started the program was really helpful,” she said.

When the program began, she said, freshmen took a more advanced technology class as their first college class. Now, she said, they start with a more fundamental class in the spring of their freshman year, learning how to build a computer.

“These guys have a chance to grow into the high school environment before we stick them in a college class,” she said.

Summer opportunities aren’t just for P-TECH’s freshmen. Along with summer internships, the schools and community colleges offer summer classes.

Silver Creek incoming 10th graders, for example, could take a personal financial literacy class at Silver Creek in the mornings and an introduction to cybersecurity class at the Innovation Center in the afternoons in June.

Over at Skyline, incoming 10th graders in P-TECH are getting paid to teach STEM lessons to elementary students while earning high school credit. Students in the fifth or sixth year of the program also had the option of taking computer science and algebra classes at Front Range.

EMBRACING THE CHALLENGE

And at Frederick, incoming juniors are taking an introduction to manufacturing class at the district's Career Elevation and Technology Center this month in preparation for an advanced manufacturing class they’re taking in the fall.

“This will deliver them a head start for the fall,” said instructor Chester Clark.

Incoming Frederick junior Destini Johnson said she’s not sure what she wants to do after high school, but believes the opportunities offered by P-TECH will prepare her for the future.

“I wanted to try something challenging, and getting a head start on college can only help,” she said. “It’s really incredible that I’m already halfway done with an associate’s degree and high school.”

IBM P-TECH program manager Tracy Knick, who has worked with the Skyline High program for three years, said it takes a strong commitment from all the partners — the school district, IBM and Front Range — to make the program work.

“It’s not an easy model,” she said. “When you say there are no entrance requirements, we all have to be OK with that and support the students to be successful.”

IBM hosted 60 St. Vrain interns this summer, while two Skyline students work as IBM “co-ops” — a national program — to assist with the P-TECH program.

The company hosts two to four formal events for the students each year to work on professional and technical skills, while IBM mentors provide tutoring in algebra. During the pandemic, IBM also paid for subscriptions to tutor.com so students could get immediate help while taking online classes.

“We want to get them truly workforce ready,” Knick said. “They’re not IBM-only skills we’re teaching. Even though they choose a pathway, they can really do anything.”

As the program continues to expand in the district, she said, her wish is for more businesses to recognize the value of P-TECH.

“These students have had intensive training on professional skills,” she said. “They have taken college classes enhanced with the same digital credentials that an IBM employee can learn. There should be a waiting list of employers for these really talented and skilled young professionals.”

©2022 the Daily Camera (Boulder, Colo.). Distributed by Tribune Content Agency, LLC.

Thu, 04 Aug 2022 02:41:00 -0500 en text/html https://www.govtech.com/education/k-12/colorados-p-tech-students-graduate-ready-for-tech-careers
Killexams : Bear of the Day: International Business Machines (IBM) No result found, try new keyword!International Business Machines (IBM) is a Zacks Rank #5 (Strong Sell) provides advanced information technology solutions, computer systems, quantum computing and super computing solutions ... Sun, 24 Jul 2022 23:46:00 -0500 text/html https://www.nasdaq.com/articles/bear-of-the-day%3A-international-business-machines-ibm Killexams : SVVSD embraces early college P-TECH program No result found, try new keyword!In Colorado, St. Vrain Valley was among the first school districts chosen by the state to offer a P-TECH program after the Legislature passed a bill to provide funding — and the school ... Sat, 30 Jul 2022 15:39:40 -0500 en-us text/html https://www.msn.com/en-us/money/careersandeducation/svvsd-embraces-early-college-p-tech-program/ar-AA1098v3 Killexams : IBM Touts AI, Hybrid Cloud: ‘Demand For Our Solutions Remains Strong’

Cloud News

Joseph F. Kovar

‘Given its ability to boost innovation, productivity, resilience, and help organizations scale, IT has become a high priority in a company’s budget. As such, there is every reason to believe technology spending in the B2B space will continue to surpass GDP growth,’ says IBM CEO Arvind Krishna.

 ARTICLE TITLE HERE

A strengthening IT environment that is playing into IBM AI and hybrid cloud capabilities means a rosy future for IBM and its B2B business, CEO Arvind Krishna told investors Monday.

Krishna, in his prepared remarks for IBM’s second fiscal quarter 2022 financial analyst conference call, said that technology serves as a fundamental source of competitive advantage for businesses.

“It serves as both a deflationary force and a force multiplier, and is especially critical as clients face challenges on multiple fronts from supply chain bottlenecks to demographic shifts,” he said. “Given its ability to boost innovation, productivity, resilience, and help organizations scale, IT has become a high priority in a company’s budget. As such, there is every reason to believe technology spending in the B2B space will continue to surpass GDP growth.”

[Related: IBM STARTS ‘ORDERLY WIND-DOWN’ OF RUSSIA BUSINESS]

That plays well with IBM’s hybrid cloud and AI strategy where the company is investing in its offerings, technical talent, ecosystem, and go-to-market model, Krishna said.

“Demand for our solutions remains strong,” he said. “We continued to have double-digit performance in IBM Consulting, broad-based strength in software, and with the z16 [mainframe] platform launch, our infrastructure business had a good quarter. By integrating technology and expertise from IBM and our partners, our clients will continue to see our hybrid cloud and AI solutions as a crucial source of business opportunity and growth.”

Krishna said hybrid clouds are about offering clients a platform to straddle multiple public clouds, private clouds, on-premises infrastructures, and the edge, which is where Red Hat, which IBM acquired in 2019, comes into play, Krishna said.

“Our software has been optimized to run on that platform, and includes advanced data and AI, automation, and the security capabilities our clients need,” he said. “Our global team of consultants offers deep business expertise and co-creates with clients to accelerate their digital transformation journeys. Our infrastructure allows clients to take full advantage of an extended hybrid cloud environment.”

As a result, IBM now has over 4,000 hybrid cloud platform clients, with over 250 new clients added during the second fiscal quarter, Krishna said.

“Those who adopt our platform tend to consume more of our solutions across software, consulting, and infrastructure, [and] expanding our footprint within those clients,” he said.

IBM is also benefitting from the steady adoption by businesses of artificial intelligence technologies as those businesses try to process the enormous amount of data generated from hybrid cloud environments all the way to the edge, Krishna said. An IBM study released during the second fiscal quarter found that 35 percent of companies are now using some form of AI with automation in their business to address demographic shifts and move their employees to higher value work, he said.

“This is one of the many reasons we are investing heavily in both AI and automation,” he said. “These investments are paying off.”

IBM is also moving to develop leadership in quantum computing, Krishna said. The company currently has a 127-qubit quantum computer it its cloud, and is committed to demonstrate the first 400-plus-qubit system before year-end as part of its path to deliver a 1,000-plus-qubit system next year and a 4,000-plus-qubit system in 2025, he said.

“One of the implications of quantum computing will be the need to change how information is encrypted,” he said. “We are proud that technology developed by IBM and our collaborators has been selected by NIST (National Institute of Standards and Technology) as the basis of the next generation of quantum-safe encryption protocols.”

IBM during the quarter also move forward in its mainframe technology with the release of its new z16 mainframe, Krishna said.

“The z16 is designed for cloud-native development, cybersecurity resilience, [and] quantum-safe encryption, and includes an on-chip AI accelerator, which allows clients to reduce fraud within real-time transactions,” he said.

IBM also made two acquisitions during the quarter related to cybersecurity, Krishna said. The first was Randori, an attack surface management and offensive cybersecurity provider. That acquisition built on IBM’s November acquisition of ReaQta, an endpoint security firm, he said.

While analysts during the question and answer part of Monday’s financial analyst conference call did not ask about the news that IBM has brought in Matt Hicks as the new CEO of Red Hat, they did seem concerned about how the 17-percent growth in Red Had revenue over last year missed expectations.

When asked about Red Hat revenue, Krishna said IBM feels very good about the Red Hat business and expect continued strong demand.

“That said, we had said late last year that we expect growth in Red Hat to be in the upper teens,” he said. “That expectation is what we are going to continue with. … Deferred revenue accounts for the bulk of what has been the difference in the growth rates coming down from last year to this year.”

IBM CFO James Kavanaugh followed by saying that while IBM saw 17 percent growth overall for Red Hat, the company took market share with its core REL (Red Hat Enterprise Linux) and in its Red Hat OpenShift hybrid cloud platform foundation. Red Hat OpenShift revenue is now four-and-a-half times the revenue before IBM acquired Red Hat, and Red Hat OpenShift bookings were up over 50 percent, Kavanaugh said.

“So we feel pretty good about our Red Hat portfolio overall. … Remember, we‘re three years into this acquisition right now,” he said. “And we couldn’t be more pleased as we move forward.”

When asked about the potential impact from an economic downturn, Krishna said IBM’s pipelines remain healthy and consistent with what the company saw in the first half of fiscal 2022, making him more optimistic than many of his peers.

“In an inflationary environment, when clients take our technology, deploy it, leverage our consulting, it acts as a counterbalance to all of the inflation and all of the labor demographics that people are facing all over the globe,” he said.

Krishna also said IBM’s consulting business is less likely than most vendors’ business to be impacted by the economic cycle as it involves a lot of work around deploying the kinds of applications critical to clients’ need to optimize their costs. Furthermore, he said. Because consulting is very labor-intensive, it is easy to hire or let go tens of thousands of employees as needed, he said.

The Numbers

For its second fiscal quarter 2022, which ended June 30, IBM reported total revenue of $15.5 billion, up about 9 percent from the $14.2 billion the company reported for its second fiscal quarter 2021.

This includes software revenue of $6.2 billion, up from $5.9 billion; consulting revenue of $4.8 billion, up from $4.4 billion; infrastructure revenue of $4.2 billion, up from $3.6 billion; financing revenue of $146 million, down from $209 million; and other revenue of $180 million, down from $277 million.

On the software side, IBM reported annual recurring revenue of $12.9 billion, which was up 8 percent over last year. Software revenue from its Red Hat business was up 17 percent over last year, while automation software was up 8 percent, data and AI software up 4 percent, and security software up 5 percent.

On the consulting side, technology consulting revenue was up 23 percent over last year, applications operations up 17 percent, and business transformation up 16 percent.

Infrastructure revenue growth was driven by hybrid infrastructure sales, which rose 7 percent over last year, and infrastructure support, which grew 5 percent. Hybrid infrastructure revenue saw a significant boost from zSystems mainframe sales, which rose 77 percent over last year.

IBM also reported revenue of $8.1 billion from sales to the Americas, up 15 percent over last year; sales to Europe, Middle East, and Africa of $4.5 billion, up 17 percent; and $2.9 billion to the Asia Pacific area, up 16 percent.

Sales to Kyndryl, which late last year was spun out of IBM, accounted for about 5 percent of revenue, including 3 percent of IBM’s Americas revenue.

IBM also reported net income for the quarter on a GAAP basis of $1.39 billion, or $1.53 per share, up from last year’s $1.33 billion, or $1.47 per share.

Joseph F. Kovar

Joseph F. Kovar is a senior editor and reporter for the storage and the non-tech-focused channel beats for CRN. He keeps readers abreast of the latest issues related to such areas as data life-cycle, business continuity and disaster recovery, and data centers, along with related services and software, while highlighting some of the key trends that impact the IT channel overall. He can be reached at jkovar@thechannelcompany.com.

Tue, 19 Jul 2022 13:17:00 -0500 en text/html https://www.crn.com/news/cloud/ibm-touts-ai-hybrid-cloud-demand-for-our-solutions-remains-strong-
Killexams : How Tech Sector is Significantly Disadvantaged by an AI Skills Shortage

Guest blog: Sreeram Visvanathan, Chief Executive of IBM UK and Ireland, exposes a worrying shortfall in skills required for a career in AI.

I believe that the last two decades in enterprise computing has been the prequel to the main act to follow.  In this main act, the winners will be enterprises willing to change, to question everything, to leverage the latest in digital innovation to scale the impact of AI, Hybrid Cloud and automation on every aspect of their business. 

The Covid pandemic disrupted business-as-usual for most companies, and several spined to digital technology, containing AI, to sustain operations. Earlier this year, IBM launched a study that revealed the size of the AI skills gap across Europe that found the tech sector is struggling to find employees with adequate AI knowledge or experience. The research found nearly 7 in 10 tech job seekers and tech employees believe that potential recruits lack the skills necessary for a career in AI. The impact of this deficit has the potential to stifle digital innovation and hold back economic growth.

Mind the gap

The IBM report, ‘Addressing the AI Skills Gap in Europe’, exposed a worrying shortfall in skills required for a career in AI. Although technical capabilities are vital for a career in the sector, problem solving is considered the most critical soft skill needed for tech roles among all survey participants (up to 37%). However, around a quarter of tech recruiters (23%) have difficulty finding applicants with this aptitude along with shortfalls in critical and strategic thinking. Along with soft skills, 40% of tech job seekers and employees noted that software engineering and knowledge of programming languages are the most important technical capabilities for the AI/tech workforce to have. 

How to address the issue

As AI moves into the mainstream, specialist tech staff are working more closely than ever with business managers. In order to secure the best possible outcomes, the soft skills of interpersonal communication, strategic problem solving, and critical thinking are required across all disciplines to help ensure the most beneficial personal interactions. Demonstrating these skills can greatly Improve employability and career developments in AI.

The report showed that offering education and skills training is seen as a top priority for many companies looking to Improve AI recruitment in the future. As a result, IBM have already taken proactive steps to help applicants and employees enhance their AI skills.

IBM launched IBM SkillsBuild, which brings together two world-class, skills-based learning programs—"Open P-TECH" and "SkillsBuild"—under one umbrella. Through the program, students, educators, job seekers, and the organisations that support them have access to free digital learning, resources, and support focused on the core technology and workplace skills needed to succeed in jobs. SkillsBuild is a free programme which contains an AI skills module for secondary education students and adults seeking entry-level employment.

Further concerted effort

A great deal remains to be done to solve this skills gap. However, I believe we can agree that a solution is achievable. What’s required now is for industry, government and academia to work together to put existing ideas into practice and to think of new ways to solve the challenge. At the start of the year, the DCMS announced £23 million of government funding to create 2,000 scholarships in AI and data science in England. The new scholarships from this funding will ensure more people can build successful careers in AI, create and develop new and bigger businesses, and will Improve the diversity of this growing and innovative sector.  I hope to see further investment and programs such as ours with SkillsBuild as key drivers in change. Finding solutions and initiatives such as these will ensure we are providing a significant boost for the UK while providing a rewarding career for many.

This article was authored by Sreeram Visvanathan, Chief Executive of IBM UK and Ireland

Wed, 27 Jul 2022 03:22:00 -0500 text/html https://www.techuk.org/resource/how-tech-sector-is-significantly-disadvantaged-by-an-ai-skills-shortage.html
Killexams : UTC And IBM Help Students Develop Job Skills For The Future

A new collaboration between The University of Tennessee at Chattanooga and IBM will deliver students an array of marketable skills in data analytics, one of the fastest growing sectors in the national and regional economy. Smart technologies, cloud computing, mobile platforms, social media and other new generation technologies are fueling the revolution of big data.

According to IBM’s exact Tech Trends Report, only 1 in 10 organizations has the skills needed to effectively apply advanced technologies such as business analyticsmobile computingcloud computing and social business.

In the U.S. alone, IT jobs are expected to grow by 22 percent through 2020 according to the US Bureau of Labor Statistics.

As part of the UTC-IBM relationship, faculty have access to the resources in IBM’s Academic Initiative. This program provides access to technology, curriculum and learning materials at no cost for faculty members around the world. IBM has also provided advanced education for UTC faculty members, which has resulted in the development of curriculum, according to Dr. Joseph Kizza, Professor and Head of the Department of Computer Science and Engineering. Kizza is currently teaching the course Big Data Analytics using IBM software, including Cognos, BigInsights and InfoSphereStreams.

“The collaboration with IBM is already helping the program to prepare graduating students with the most up-to-date and in-demand skills in the industry. This is going to help our students get better and more paying jobs. In the process, this will eventually help our recruitment,” explained Kizza.  “Additionally, we hold two Computer Science and Engineering (CSE) Showcases a year where we invite high school students to spend a Saturday with us and do hands-on labs. This opportunity will help us demonstrate the latest technologies in Big Data analytics, for example, which may increase or ignite students interests in attending UTC.”

BlueCross BlueShield of Tennessee, the city’s largest private employer, also collaborated by providing guidance on the curriculum and sharing insights on the real-world skills needed for success. The company believes the program will not only help meet its own need for technical talent, but provide a boost for the entire community.

“I see UTC becoming a leading academic institution for business analysis and data management—it will begin to produce the business intelligence experts Chattanooga companies need,” according to Brian Green, Manager of Business Intelligence and Performance Management at BlueCross. “Through this collaboration, local businesses will be able to tap into UTC’s academic offerings to make their companies more successful in critical new areas like Big Data analytics.”

He says students who take advantage of these opportunities can become “immediately marketable” in this fast-growing field. “They will graduate with hands-on experience in the IBM tools commonly used in the workplace.”

 

Mr.Green, who graduated from UTC in 1980, has been in the business of information management and system development in the insurance industry for more than 30 years.

“UTC has been involved in the IBM Academic Skills Cloud pilot program and we are proud to support the university’s efforts to provide students with data-driven education,” said Dan Hauenstein, director, IBM Academic Initiative. “Through the IBM Academic Initiative, students and faculty have access to industry leading technology and courseware to help develop the advanced big data analytics skills needed for jobs of the future.”

IBM’s Academic Initiative provides no charge access to curriculum, software and learning materials to more than 30,000 faculty members around the world. 

Tue, 12 Jul 2022 12:00:00 -0500 en text/html https://www.chattanoogan.com/2013/10/12/261192/UTC-And-IBM-Help-Students-Develop-Job.aspx
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