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From hype to industrialization: A look at data & AI in 2026

AI is growing up—and so must we. See how today’s top players industrialize AI to deliver measurable business value.
January 27th 4:00 PM CET / 10:00 AM EDT

    From hype to industrialization: A look at data & AI in 2026

    AI is growing up—and so must we.

    By 2026, the winners won’t be the companies with the flashiest chatbots, but those that industrialize AI to deliver measurable business value.

    This webinar cuts through the hype to explore what it really takes to scale AI: strong data foundations, agent-ready architectures, governance that’s embedded (not forgotten in PDFs), and outcome-driven execution tied to KPIs.

    We’ll unpack the trends shaping data & AI in 2026, the uncomfortable challenges most organizations avoid, and a practical roadmap to quickly move from experimentation to production.

    Speaker

    Laurent Dresse is DataGalaxy’s Chief Evangelist

    Laurent Dresse

    Chief Evangelist|DataGalaxy

    Top 5 key takeaways

    • Why AI adoption is high, but business value remains low, and how to close the “failure gap”
    • Changes brought by agentic AI and the data conditions required for AI systems that act, not just talk
    • How governance must evolve into an automated, monitored platform, especially with the EU AI Act
    • How to shift from science projects to outcome-driven AI, using KPIs tied to revenue, risk, compliance, or customer value
    • A practical 90-day approach to strengthen metadata, scale AI access, deliver real use cases, and build lasting adoption

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