Ibm Watsonx Wikipedia

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-Dec 28, 2025, 4:56 AM

Watsonx is a platform by IBM for building and managing artificial intelligence (AI) applications for business use.[2] Announced on May 9, 2023, the platform provides software tools and infrastructure for companies to work with... The platform consists of three main components: watsonx.ai, a studio for training, validating, and deploying AI models; watsonx.data, a system for storing and managing data used by the models; and watsonx.governance, a toolkit to... IBM states that this client-specific data is not used to train its own models.[5] Like the Watson computer, it is named after Thomas J. Watson, IBM's founder.[1] Watsonx was revealed on May 9, 2023, at the annual Think conference of IBM as a platform that includes multiple services.[6][7] Just like Watson AI computer with the similar name, Watsonx was named after... Watson, IBM's founder and first CEO.[1]

On February 13, 2024, Anaconda partnered with IBM to embed its open-source Python packages into Watsonx.[8] Watsonx is currently used at ESPN's Fantasy Football App for managing players' performance.[9] It is also used by Italian telecommunications company Wind Tre.[10] Watsonx was used to generate editorial content around nominees during the... IBM Watson is a computer system capable of answering questions posed in natural language.[1] It was developed as a part of IBM's DeepQA project by a research team, led by principal investigator David Ferrucci.[2]... Watson.[3][4] The computer system was initially developed to answer questions on the popular quiz show Jeopardy![5] and in 2011, the Watson computer system competed on Jeopardy! against champions Brad Rutter and Ken Jennings,[3][6] winning the first-place prize of US$1 million.[7]

In February 2013, IBM announced that Watson's first commercial application would be for utilization management decisions in lung cancer treatment, at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint (now... Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open... The system is named DeepQA (though it did not involve the use of deep neural networks).[1] IBM stated that Watson uses "more than 100 different techniques to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses."[10] AI-first enterprises can save up to 90% time savings on code explanation* Monitor agents in production with our latest release

Scale agentic AI across your enterprise confidently and securely with monitoring for your agents in production. IBM watsonx™ is our portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity. Get the flexibility you need to make the right AI choices for your business. Choose an open source foundation model, bring your own, or use existing models. And run it across any cloud. Watsonx is a platform by IBM for building and managing artificial intelligence (AI) applications for business use.[2] Announced on May 9, 2023, the platform provides software tools and infrastructure for companies to work with...

The platform consists of three main components: watsonx.ai, a studio for training, validating, and deploying AI models; watsonx.data, a system for storing and managing data used by the models; and watsonx.governance, a toolkit to... IBM states that this client-specific data is not used to train its own models.[5] Like the Watson computer, it is named after Thomas J. Watson, IBM's founder.[1] Watsonx was revealed on May 9, 2023, at the annual Think conference of IBM as a platform that includes multiple services.[6][7] Just like Watson AI computer with the similar name, Watsonx was named after... Watson, IBM's founder and first CEO.[1] On February 13, 2024, Anaconda partnered with IBM to embed its open-source Python packages into Watsonx.[8]

Watsonx is currently used at ESPN's Fantasy Football App for managing players' performance.[9] It is also used by Italian telecommunications company Wind Tre.[10] Watsonx was used to generate editorial content around nominees during the... A year ago, AI strategy was a slide in your board deck—a forward-looking item, something to explore, maybe experiment with. Today, it’s a board-level imperative. The conversation has shifted from “should we?” to “how soon, how well, and how responsibly can we?” If you’re leading technology at a mid-size or large enterprise, you’ve probably felt that shift firsthand. Experimentation is no longer enough.

Executives are asking where measurable outcomes are. Boards want clear assurances that AI initiatives are not just innovative but safe, governed, and aligned to regulatory expectations. Your teams want tools they can trust—not just to build interesting proofs of concept, but to integrate AI into production workflows that actually support the business at scale. In this environment, it’s easy to get caught between competing pressures. On one hand, there’s a real urgency to act: competitors are making bold claims about their AI programs, customers increasingly expect AI-driven personalization and responsiveness, and regulators are rapidly advancing new frameworks for AI... On the other hand, you know the risks of rushing—data that isn’t AI-ready, models that lack explainability, governance structures that lag behind deployment, and ethical considerations that can’t wait until later.

The question is no longer if you’ll scale AI, but how—and just as importantly: how responsibly. That’s exactly why watsonx matters right now. It’s not just another AI platform. It’s an enterprise-ready approach to scaling AI with governance, trust, and speed built in. More than tooling, watsonx reflects lessons from organizations that have already navigated these transitions and understand that the path from experimentation to enterprise-wide AI adoption requires more than enthusiasm. ARMONK, N.Y., May 9, 2023 /PRNewswire/ -- Today, IBM (NYSE: IBM) at its annual Think conference, announced IBM watsonx, a new AI and data platform to be released that will enable enterprises to scale...

Enterprises turning to AI today need access to a full technology stack that enables them to train, tune and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted... Also at Think, IBM is announcing further planned advancements, including a GPU-as-a-service infrastructure offering designed to support AI-intensive workloads, an AI-powered dashboard to measure, track, manage, and help report on cloud carbon emissions, and... With watsonx, IBM is offering an AI development studio with access to IBM-curated and trained foundation models and open-source models, access to a data store to enable the gathering and cleansing of training and... "With the development of foundation models, AI for business is more powerful than ever," said Arvind Krishna, IBM Chairman and CEO. "Foundation models make deploying AI significantly more scalable, affordable, and efficient. We built IBM watsonx for the needs of enterprises, so that clients can be more than just users, they can become AI advantaged.

With IBM watsonx, clients can quickly train and deploy custom AI capabilities across their entire business, all while retaining full control of their data." Clients will have access to the toolset, technology, infrastructure, and consulting expertise to build their own — or fine-tune and adapt available AI models — on their own data and deploy them at scale... Competitive differentiation and unique business value will be able to be increasingly derived from how adaptable an AI model can be to an enterprise's unique data and domain knowledge.

Ibm Watsonx Wikipedia

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