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  1. en.wikipedia.org › wiki › IBM_WatsonIBM Watson - Wikipedia

    4 days ago · Website. 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 ]

  2. 6 days ago · With IBM watsonx Assistant for Z, you now have the flexibility to customize the Z RAG, ingesting your own documentation and best practices. Personalizing your Z RAG offers greater autonomy for your Z users, who can now get curated answers tailored specifically to your organization’s environment, processes and internal knowledge.

  3. Sep 18, 2024 · Watson Machine Learning is a service that lets you create and deploy machine learning models into your applications and services. You can use REST APIs to call the service from any programming language and integrate predictive capabilities with your data.

  4. 1 day ago · We’re excited to announce that IBM® watsonx.data™ With IBM® watsonx.data™ now supports a powerful suite of tools for the modern dataops tools. With data build tool (dbt) compatibility for both Spark and Presto engines, automated orchestration through Apache Airflow, and an integrated development environment via VSCode, watsonx.data delivers new capabilities. These features empower teams to efficiently […]

  5. 5 days ago · Watson Machine Learning plans govern how you are billed for models you train and deploy with Watson Machine Learning and for prompts you use with foundation models. Choose a plan based on your needs: Lite is a free plan with limited capacity.

  6. Sep 5, 2024 · IBM Developer is your one-stop location for getting hands-on training and learning in-demand skills on relevant technologies such as generative AI, data science, AI, and open source.

  7. Sep 3, 2024 · In addition to working with foundation models that are curated by IBM, including open source, third party and IBM-developed watsonx foundation models, you can now upload and deploy your own custom foundation model to accomplish a range of industry or domain-specific generative AI tasks.

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