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Making AI value visible without more slides

How leaders cut through the AI value fog
February 26th, 3:00 PM CET

    Making AI value visible without more slides

    Despite growing AI investment and technical progress, executives still struggle to clearly explain what AI is delivering, who owns the outcomes, and whether the organization can truly trust what it is building.

    Edosa Odaro calls this challenge the AI Value Fog: a state where AI activity is high, but clarity is low. Value fractures across economic, strategic, operational, human, and societal dimensions — leaving stakeholders aligned in intention, yet divided in understanding.

    In this joint webinar, Edosa Odaro, author of The Values of Artificial Intelligence, and Nicolas Averseng, Chief Product Officer at DataGalaxy, explore why this fog forms — and how leading organizations are cutting through it.

    Edosa will ground the discussion in the core ideas of his book and real-world examples, showing how organizations unintentionally lose value when they assume alignment rather than design for it.

    Nicolas will then extend these insights into the operational reality. As AI initiatives multiply, leaders need more than reports or dashboards. They need an operating model that makes AI initiatives, ownership, dependencies, governance, and value explicit. Portfolio and value management provide the visibility required to move from fragmented efforts to coordinated execution.

    Together, they will demonstrate how making AI value visible enables better decisions, stronger governance, and sustained impact — without adding complexity or more slides.

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    Speakers

    Edosa Odaro

    Edosa Odaro

    Advisor and Author on AI value, Governance and accountability

    nicolas-averseng-DataGalaxy

    Nicolas Averseng

    Chief Product Officer
    DataGalaxy

    Top 5 key takeaways

    • Recognize the signs of the AI value fog before it stalls progress
    • Understand why AI value fractures across stakeholders
    • Connect AI initiatives to business objectives and value dimensions
    • Move from AI projects to a portfolio-driven operating model
    • Make AI value visible in a way leaders can trust and act on