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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® 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. 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 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 13, 2023 · Watson is AI from IBM. Created to form your business more intelligent and every worker your best worker. Watson features a range of advanced APIs, specialized tooling, and Software as a Service application.
Watson is AI for business. Access your services, explore new solutions, and stay up to date on all things Watson.
May 24, 2024 · It explained how IBM Watson can help you use natural language processing services to develop increasingly smart applications, focusing on using the Watson Natural Language Understanding and Watson Knowledge Studio services.
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 12, 2022 · IBM Watson Studio. IBM Watson Studio gives you the environment and tools to solve business problems by collaboratively working with data. You can choose the tools needed to analyze and visualize data; to cleanse and shape the data; to ingest streaming data; or to create, train, and deploy machine learning models.
