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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.
IBM Watson NLP Library for Embed, powered by Intel processors and optimized with Intel software tools, uses deep learning techniques to extract meaning and meta data from unstructured data. Read the solution brief Intel oneAPI tools accelerating IBM Watson Natural Language Processing Library.
Watson is AI for business. Access your services, explore new solutions, and stay up to date on all things Watson.
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.
Sep 9, 2021 · IBM announced the launch of new AI and automation capabilities in IBM Watson Assistant designed to make it easier for businesses to create enhanced customer service experiences across any channel – phone, web, SMS and any messaging platform.
Watson is AI for business. Access your services, explore new solutions, and stay up to date on all things Watson.
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.
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.
