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Explore Trusted Data for AI Agents: How to Trust Your Data From Source to Agent | Jessie Smith, Ataccama with 92,137 views, 0 likes, and 88 comments. Experience the impact of this video content that has captured audience attention.

67% of data leaders say they do not fully trust their data. Those same leaders are being asked to scale AI agents faster than ever. Every AI conversation I have at conferences this year ends up in the same place. Can we trust the data? I sat down with Jessie Smith, Chief Product Officer at Ataccama, on The Ravit Show to talk about what to do about it. Here is what we got into: - Trust starts at the source. Quality checks at the source catch problems before data reaches the warehouse and the agent. - A semantic layer tells an agent what data means. Quality signals tell it whether it can act on that data. Ataccama is open sourcing a converter that adds those signals to Apache Ossie semantic layers. - Master data gives agents 1 governed record for each customer or supplier, so they stop guessing which records are the same. - Agents are starting to take on cataloging work. That changes how data stewards spend their time. - We also talked about customer examples like Lennar and what is coming next for data governance. Ataccama FWRD is virtual on Nov 5 at 10 AM ET. Leaders from Lennar, Mondelēz International, Lloyds Banking Group and iA Financial Group will share what worked for them this year, and Ataccama will look ahead to 2027. Register: https://www.ataccama.com/fwrd-2026?utm_source=referral&utm_medium=linkedin&utm_campaign=fwrd26&utm_term=Ravit-Jain&utm_content=Thought-Leader What do you check before you let an agent act on your data? #dataquality #datatrust #ai #aiagents #datagovernance #masterdata #ataccama #theravitshow

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