Managing Data for AI and Analytics at Scale with an Open Data Lakehouse Approach – IBM watsonx.data

Read the IDC whitepaper to explore the benefits of working with a data lakehouse approach, from the challenges it resolves, the importance for managing data for AI and analytics at scale, and the introduction of IBM’s solution – watsonx.data. 

Learn how a data lakehouse approach can provide:

- More trustworthy data

- More reliable and faster execution of analytics and AI projects

- The ability to execute transitions on data held in a data lake

You’ll also discover why watsonx.data is a great choice for an open data lakehouse architecture, as it provides self-service access to high-quality, governed data in a single collaborative platform to scale AI workloads across hybrid cloud environments.

  • Read the IDC whitepaper to explore the benefits of working with a data lakehouse approach, from the challenges it resolves, the importance for managing data for AI and analytics at scale, and the introduction of IBM’s solution – watsonx.data. 

    Learn how a data lakehouse approach can provide:

    - More trustworthy data

    - More reliable and faster execution of analytics and AI projects

    - The ability to execute transitions on data held in a data lake

    You’ll also discover why watsonx.data is a great choice for an open data lakehouse architecture, as it provides self-service access to high-quality, governed data in a single collaborative platform to scale AI workloads across hybrid cloud environments.

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