Is data quality the real foundation for AI? At Gartner Data & Analytics Summit in Orlando, I had a great conversation with Gabriel Charvat (he/him) from Dun & Bradstreet on The Ravit Show, where we dug deep into the connection between data quality, data observability, and successful AI implementation.

Gabriel shared how data quality is the foundation for everything they do with AI—because without trustworthy data, even the most advanced models fall short. We also talked about their use of Acceldata for data observability, ensuring reliability and visibility across their data pipelines.

If your organization is thinking about implementing AI, start by asking: Can I trust my data?

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