Gartner® Quick Answer: What Makes Data AI-Ready?

Becoming “AI-ready” has emerged as a key theme online and at data and analytics industry events throughout 2024. But what’s truly meant by the term AI-ready when it comes to your data? And better yet, how can you gauge and flex AI data readiness and governance requirements dependent on your organization’s specific AI use cases? Download this Gartner Quick Answer: What Makes Data AI-Ready? for what we feel is a quick overview to help you get started in understanding how AI efforts are evolving data requirements for organizations.

According to Gartner, “Organizations that fail to realize the vast differences between AI-ready data requirements and traditional data management will endanger the success of their AI efforts. Data and analytics leaders need to be able to prove data readiness to quickly respond to AI-ready data demands.”

Learn how Gartner defines AI-ready data, the importance of aligning data contextually with AI use case requirements, and the role of data and AI governance. Take advantage of this complimentary Gartner report today.

Did you know erwin Data Intelligence by Quest supports AI governance and data readiness efforts?  Learn more here or request a demo.

Gartner, Quick Answer: What Makes Data AI-Ready? Svetlana Sicular, May 2024

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