AI demands new ways of data management

Whether your business is focused on ensuring effective analytics or looking to improve the resiliency and scalability of your applications, having the right data strategy can help generate success.

Companies that can utilize the data they generate are in a position that puts them ahead of their competition. IBM provides an open and trusted data foundation that simplifies access and data consumption for AI workflows.

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.

IBM watsonx.data Allows You to Scale AI Workloads, for All Your Data, Anywhere.

#data lake technology,# ai governance

Fill out the form to access content

First Name *

Last Name *

Email *

Business Mobile Number *

Job Title *

Company Name *

State *

Country *

I’d like my contact details to be shared with IBM so they can keep me informed about products, services, and offers. More information on how IBM uses data and ways to opt out can be found in the IBM Privacy Statement.

By Email

By Phone

By submitting this form, you agree to have your contact information passed along for the purpose of following up on your interests and in order to receive communications regarding IBM products, services, and events. The data sent will be processed in Canada and provided to IBM who will assume responsibility for processing and Opt-out and Information Removal. For more information, please read our Terms of Use, Privacy, Opt-out & Information Removal below.

AI demands new ways of data management

Fill out the form to access content

Subscribe To Our Newsletter