Building data that is "AI-ready" has emerged as a critical capability to ensure the success of AI initiatives. But what’s truly meant by the term AI-ready data? And better yet, how can you adjust and adapt your AI data readiness requirements to align with your organization’s specific AI use cases?
Download this Gartner Quick Answer: What Makes Data AI-Ready? to learn how AI efforts are evolving the data management 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 safety and governance. Take advantage of this Gartner research report compliments of Granica.
Did you know Granica supports AI data readiness efforts by making training and inference data safe for use as well as compact and efficient? Learn more here or request a demo.
Gartner, Quick Answer: What Makes Data AI-Ready? By Roxane Edjlali, Mark Beyer, Svetlana Sicular, Ehtisham Zaidi, 15 May 2024
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