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AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. IBM Institute for Business Value (IBV), in collaboration with Oxford Economics, surveyed 2,551 global IT executives to determine how mainframes are being used and prepped for increased use in AI and hybrid cloud environments.
IBM is offering expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training. IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances in virtual private cloud and managed Red Hat OpenShift environments.
Enterprisearchitecture definition Enterprisearchitecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA, and its goals, however, are constantly evolving.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.
CIOs have been moving workloads from legacy platforms to the cloud for more than a decade but the rush to AI may breathe new life into an old enterprise friend: the mainframe. At least IBM believes so. IBM’s current z16 mainframe has baseline AI infusion for machine learning models. billion in 2015 to less than $6.5
IBM''s latest iteration of its Enterprise-X architecture includes Flash and a modular design, making it suitable to move big, intensive applications to the cloud and extending the life of the server through hot swapping capabilities. Featured'
Rohit Badlaney, General Manager of IBM Cloud Product and Industry Platforms, brings more than two decades of experience in his role leading strategy, product management, design, and go-to-market for IBM Cloud. Badlaney believes that IBM stands out among other hyperscalers for being the destination for VMware workloads in the cloud.
IBM is outfitting the next generation of its z and LinuxONE mainframes with its next-generation Telum processor and a new accelerator aimed at boosting performance of AI and other data-intensive workloads. Developed using Samsung 5nm technology , Telum II has eight high-performance cores running at 5.5GHz, according to IBM.
IBM’s consulting arm and SAP are partnering to offer generative AI -based services to enterprises to help accelerate digital transformation. RISE with SAP is the enterprise resource planning (ERP) software provider’s managed offering that helps enterprises move their on-premises ERP operations to the cloud.
IBM has announced the expansion of its software portfolio to 92 countries in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors (ISVs). Further, it also offers some monetization and potential cross-selling opportunities for AWS to the IBM and RedHat clients.”
Highlights of the 2025 roadmap include: IBM’s Spyre Accelerator for AI will be part of the Power processing systems. The Power server line will be anchored by a new processor, the IBM Power11. Jointly designed by IBM Research and IBM Infrastructure, Spyre’s architecture is designed for more efficient AI computation.
For more and more enterprises, it’s an application you run in house. Of 292 enterprises who’ve commented to me on AI plans, 164 say that they believe their real AI benefits will accrue from self-hosting AI, not from public generative services. That doesn’t mean you’ve given up on AI, just that you’ve faced reality.
Big announcement at Dataworks today -- IBM is giving up on Big Insights and partnering with Hortonworks. Then it hits you: Hortonworks, after digesting Microsoft, is now eating IBM. It's a total reversal from the past, when big fish like IBM would eat little fish like Hortonworks.
Finalist: LiveAction LiveNX LiveActions enterprise network management software platform, LiveNX, allows companies to manage large and complex networks by unifying and simplifying the collection, correlation, and presentation of application and network datamaking it actionable for network management teams.
As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.
Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.
NS1 was subsequently acquired by IBM. NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. The tool employs an agent-based approach with a zero-trust architecture, making it particularly suitable for organizations with segmented networks and strict security requirements.
Just what is a security operations and analytics platform architecture (SOAPA) anyway? In the past, most enterprises anchored their security analytics and operations with one common tool: Security Information and Event Management (SIEM) systems.
Follow this page for the latest news, analysis and features about Nvidia and its impact on enterprise innovation. IBM expands Nvidia GPU options for cloud customers October 1, 2024 : IBM expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training.
As part of their partnership, IBM and Amazon Web Services (AWS) are pursuing a variety of industry-specific blueprints and solutions designed to help customers modernize apps for a hybrid IT environment, which includes AWS Cloud. AWS/IBM’s Industry Edge.
Today, that vision became a reality with the general availability of Red Hat Enterprise Linux AI. RHEL AI is Red Hat’s solution to the problems enterprises have building and deploying AI across hybrid clouds and the high costs of training and inference. At launch, RHEL AI supports AWS and the IBM cloud.
Google plans to use Trillium in its AI Hypercomputer, a supercomputing architecture designed for cutting edge AI-related workloads, and will make the chips available to enterprises by the end of the year. MXUs are part of the TPU chip architecture. Trillium TPUs achieve an impressive 4.7X
Follow this page for the latest news, analysis and features about Nvidia and its impact on enterprise innovation. IBM expands Nvidia GPU options for cloud customers October 1, 2024 : IBM expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training.
I had an epiphany today about a major reason open source is disrupting enterprise software. This makes Hortonworks and Cloudera, for example, unattractive acquisition targets for the likes of IBM or Oracle. This is perhaps one of those things that you have heard so much, you've gone numb to it. It is not simply just a cost play.
And some large, cutting-edge enterprises are already beginning to spend money on quantum technology. Error correction is vital for enterprise users of quantum computing, says Yoram Avidan, CTO of Citigroups Innovation Lab and global head of Citi Accelerator. billion so far in 2024. Whats the deal with error correction?
In the waters of enterprise software, ships like IBM, Microsoft, and SAP are well-known names. Singer and pianist Little Richard once said: “It’s not the size of the ship; it’s the size of the Waves”. Their size, breadth of coverage, brand recognition, and market influence reflect their success. As does their revenue.
To help meet demand from enterprises that are shifting asset management methods from legacy applications to cloud-based technology, ERP provider IFS has signed an agreement to acquire Netherlands-based enterprise asset management (EAM) software firm Ultimo. Enterprise Applications, ERP Systems year-on-year.
For IBM, the partnership will enable clients to use AA's RPA platform to create software bots that execute tasks within larger business processes managed by IBM's software. IBM Can Add Smarts to AA's RPA Platform. Here's our take. The result is that there are very few real decisions made beyond simple logic loops.
IBM spin-off Kyndryl is betting on its consulting arm, dubbed Kyndryl Consult, to return to growth by rapidly expanding its partnership ecosystem to deliver more diversified offerings. “We We have established an ecosystem of around 30 partners since our spin from IBM well over 24 months ago.
As the Ocelot architecture is advanced to include more physical qubits, and multiple error-corrected logical qubits that can perform logical computations at the logical qubit level, there is an opportunity for us, even if early, to provide access to customers to this early-stage hardware, Painter said. Its an inflection point, Mueller said.
He’s doing just that on the bank’s IBM Z system mainframes, for which the bank has written some 10 million lines of code over the years. Each houses an IBM z15 system. According to IDC, IBM sold more than 4,300 IBM Z systems in 2020, for approximately $3.5 Not all enterprises are in the market for big iron.
As enterprisearchitecture (EA) practices mature and the demand for EA services grows, interest in enterprisearchitecture management suites (EAMS) continues to also grow. IBM) to takeovers (Planview of Troux, Erwin of Casewise). · Technology asset management tools (TAM).
CTOlabs.com , the research arm of CTOvision.com , has just released a White Paper for the federal technology community titled: Enhancing Functionality and Security of Enterprise Data Holdings: Examining new, mission-enabling design patterns made possible by the Cloudera-Intel partnership.
In the competitive world of enterprise IT vendors, it may be a surprise that some companies are freely sharing their designs, but that’s exactly what the 50-plus voting members and more than 300 community members and startups, including the major hyperscalers and chipmakers, of the Open Compute Project (OCP) foundation are doing.
In the waters of enterprise software, ships like IBM, Microsoft, and SAP are well-known names. Singer and pianist Little Richard once said: “It’s not the size of the ship; it’s the size of the Waves”. Their size, breadth of coverage, brand recognition, and market influence reflect their success. As does their revenue.
You have this much simpler architecture that promises a much faster path to scale, said Krysta Svore, Microsoft technical fellow, in a statement. Meanwhile, enterprises can already experiment with quantum logic by accessing simulators and actual small-scale quantum computers through various quantum computing platforms. It tiles out.
Cognos is a name that has been in the enterprise world since 1969. It was acquired by IBM in 2008 and is now referred to as the IBM Cognos platform. While still considered by many to be associated with the legacy technology world, IBM has been investing in improving Cognos and we regard it as a function worth tracking.
At the same time, enterprises believe that applying AI to IT operations will pay off by way of streamlined IT management. These skills are desperately needed by technology leaders and the enterprises they support. This certification demonstrates that a system admin has expertise in IBM Cloud Pak for Watson AIOps v3.2,
This standardization and interoperability will be essential for enterprises to effectively manage and scale their AI initiatives. In a blog about the need for an Internet of Agents, Panday cited a real-world enterprise IT example: In enterprise IT, deploying a sales forecasting SaaS platform requires collaboration across multiple AI agents.
The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects.
Big announcement at Dataworks today -- IBM is giving up on Big Insights and partnering with Hortonworks. Then it hits you: Hortonworks, after digesting Microsoft, is now eating IBM. It's a total reversal from the past, when big fish like IBM would eat little fish like Hortonworks.
7 With the vast majority (estimated around 85%) of Internet traffic encrypted, there is exponential growth in security risks posed by encrypted channels that can hide harmful content such as viruses, spyware, and other malware challenging security teams to secure an increasingly distributed enterprise and avoid costly repercussions.
For the rest of the market, including tier two and three cloud service providers and enterprises, 80% of shipments remained at 100 Gpbs. Better connectivity helps enterprises better serve customers, and also improves internal operations. The whole AI thing is driving the 800G upgrade cycle, says Yu.
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