7 Tips for Data Governance in the AI Era

As AI gains traction, agencies are exploring how to make it work while keeping it secure—starting with data. AI thrives on analyzing data, but for accurate results, that data must be relevant, current, and secure. This has pushed agencies to refine their data governance, either enhancing policies or enforcing existing ones.

“With the emerging technologies of AI, organizations are realizing they really do have to do the complicated, hard work of data governance and data management. It’s not fun, it’s not sexy. But you want to understand how reliable and accurate that data is,” said Frank Garofalo, Chief Data Officer and Senior Data & Analytics Leader at Microsoft.

At a recent Microsoft-sponsored event, Garofalo and Sean Flowers, Executive Director at Ready Force Cyber, shared insights on using data responsibly to maximize AI’s potential.


Download below for insights from their discussion:

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