IBM watsonx.data Premium

IBM watsonx.data Premium is a hybrid, gen AI data lakehouse designed to power AI and analytics

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Product Description

Overview

IBM watsonx.data Premium is a hybrid, gen AI data lakehouse designed to power AI and analytics across complex, distributed data environments. It is powered with capabilities to unlock insights from both structured and unstructured data from diverse sources

watsonx.data Premium caters to the different personas in the data management, analytics and AI lifecycle:

Data engineers can use it to store, query, and analyze data. Data scientists can extract insights from the data for informed business decisions Data stewards can ensure all data governance and quality requirements are addressed An AI app developer can use curated and enriched data to build models and AI applications

The following illustration shows the IBM watsonx.data Premium components.

IBM watsonx.data Premium components

Platform architecture The watsonx.data Premium experience is part of the IBM watsonx platform. Within an IBM Cloud account, multiple integrated experiences on the IBM watsonx platform share services and workspaces. An experience provides focused access to the tools for specific tasks. The IBM watsonx platform includes these integrated experiences:

watsonx.data Premium , which contains watsonx.data intelligence, IBM watsonx.data integration, watsonx.ai Studio, and Watson Machine Learning for data management, analytics, and AI across distributed data environments. watsonx, which contains the watsonx.ai Studio, Watson Machine Learning, and IBM watsonx.governance services for building and governing AI solutions. Data Fabric, which contains the watsonx.data intelligence service for preparing and sharing high-quality, trusted data products and the watsonx.data integration service for transforming, integrating, and observing data.

Highlights

  • Data engineers can use it to store, query, and analyze data. Data scientists can extract insights from the data for informed business decision.

  • Data stewards can ensure all data governance and quality requirements are addressed.

  • An AI app developer can use curated and enriched data to build models and AI applications

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