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Meet watsonx. 70 years advancing AI. IBM’s research in AI goes back to the 1950s and includes significant milestones like the supercomputer Deep Blue defeating chess grandmaster Garry Kasparov.
IBM Watson. 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 was named after IBM's founder and first CEO, industrialist Thomas J. Watson.
IBM Watson® Studio empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere on IBM Cloud Pak® for Data. Unite teams, automate AI lifecycles and speed time to value on an open multicloud architecture.
Jul 16, 2021 · IBM’s artificial intelligence was supposed to transform industries and generate riches for the company. Neither has panned out. Now, IBM has settled on a humbler vision for Watson.
IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle.
IBM Watson services enables companies to do more with the talent they have by digesting implicit business knowledge and sharing it among employees in meaningful ways.
IBM® watsonx™ includes three core components and a set of AI assistants designed to help you scale and accelerate the impact of AI across your business.
IBM Watson Discovery is an API to search and answer questions about business documents using custom NLP and Large Language Models from IBM Research. It is available as SaaS or for self-hosting within IBM Cloud Pak for Data.
Dec 9, 2020 · Developed by IBM Research, the new capabilities are designed to improve the automation of AI, provide a higher degree of precision in natural language processing, and foster greater trust in outcomes derived from AI predictions.
Apr 21, 2021 · IBM today announced new capabilities for IBM Watson designed to help businesses build trustworthy AI. These capabilities further expand Watson tools designed to help businesses govern and explain AI-led decisions, increase insight accuracy, mitigate risks and meet their privacy and compliance requirements.
