The Next Generation: Diverse Perspectives on Data and AI

Modernize at your own pace with IBM Cloud Pak for Data while keeping existing entitlements

3 ways data management drives AI initiatives

Modernize your information architecture to fuel successful AI initiatives and applications


What is IBM Hybrid Data Management?

IBM Hybrid Data Management is a complete set of AI-enabled solutions that allow organizations to collect data of any type, source and structure to make it simple and accessible across multiple vendors, deployments and workloads. Solutions include:

  • Support for hybrid multicloud environments with IBM Cloud Pak for Data
  • Database, data warehouse, data lake and fast data workloads
  • Automate data management, including database management, using embedded AI capabilities
  • Open source partnerships with Cloudera, MongoDb and PostgreSQL

With AI integrated into data management solutions, IBM can help modernize your information architecture to fuel successful AI initiatives and development of AI applications across your entire business.

Read the 451 Research report to learn how hybrid data management accelerates the adoption of AI.

Use cases


Learn more about our hybrid data management solutions

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Simplify big data management

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Modernize your information architecture with AI

A database powered by AI and built for AI to help create and run competitive, cognitive applications.

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Choose the right data management solution.

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See how the AI ladder can help your company get ready for an AI and multicloud world.

Engage an expert

Schedule a one-on-one consultation with an IBM expert who can help you pick the data management solutions that match your data and AI strategy.