AI demands new ways of data management
The data leader’s guide to leverage the right databases for applications, analytics and generative AI
Whether your business is focused on ensuring effective and trustworthy analytics and generative AI or looking to improve resiliency and scalability of your applications, having the right data strategy can help ensure your teams’ success in each category.
Access the guide to learn how you can make the optimal investment in the right open, trusted data foundation for your needs. We’ll dive into the benefits of specific databases and when to use each for applications, analytics, and generative AI:
- Open data lakehouses
- Data warehouses
- Transactional databases
- Purpose-built databases like vector stores, in-memory, key value, and more.
Discover not only the value of these data architectures, but also how IBM’s database portfolio can help simplify data for all your applications, analytics, and AI workflows.
AI demands new ways of data management
The data leader’s guide to leverage the right databases for applications, analytics and generative AI
Whether your business is focused on ensuring effective and trustworthy analytics and generative AI or looking to improve resiliency and scalability of your applications, having the right data strategy can help ensure your teams’ success in each category.
Access the guide to learn how you can make the optimal investment in the right open, trusted data foundation for your needs. We’ll dive into the benefits of specific databases and when to use each for applications, analytics, and generative AI:
- Open data lakehouses
- Data warehouses
- Transactional databases
- Purpose-built databases like vector stores, in-memory, key value, and more.
Discover not only the value of these data architectures, but also how IBM’s database portfolio can help simplify data for all your applications, analytics, and AI workflows.