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How to Govern Data & AI Products at Scale

Did you know that 80% of Data & AI investments fail or result in unused products?

    How to Govern Data & AI Products at Scale

    The real challenge isn’t technology — it’s the organizational and human complexities behind it.
    Adopting a product-centric approach is key to success, but scaling it across dozens (or even hundreds) of Data & AI products brings its own challenges: coherence, governance, adoption…

    In us to explore pragmatic methods, team topologies, and organizational patterns, along with real-world examples

    Watch the replay!

    Speakers

    Laurent Dresse data governance kitchen

    Laurent Dresse

    Data Governance Kitchen Head Chef
    DataGalaxy

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    Nicolas Averseng

    Nicolas Averseng

    Founder & CEO

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