How Leaders Decide Which AI Use Cases Matter?

May 27, 2026 │ 10:00 ET │ Virtual
Paloma Rubio Klerian

Paloma Rubio Klerian

Consultant in Data & AI Product Portfolio
DataGalaxy

How Leaders Decide Which AI Use Cases Matter?

    Summary

    In today’s landscape, the challenge isn’t a lack of AI ideas—it’s a lack of intentionality. While AI ambition is scaling at record speed, decision discipline often lags behind. The result? Teams are buried under growing backlogs, “shiny-object syndrome” dictates the roadmap, and technical feasibility is often mistaken for strategic value.
    At DataGalaxy, we believe metadata is just the foundation; the true destination is business value. Join Paloma Rubio, Senior Data & AI Strategist, as she reveals how leaders can cut through the noise, align technical execution with business strategy, and transform a cluttered backlog into a high-impact AI portfolio.

    Register Now

    Key Takeaways

    • The “Idea Explosion” Trap: Why more ideas don’t equal more innovation—especially when AI ambition outpaces available budget. Learn how to spot when prioritization has become political rather than strategic, and why budget discipline is the forcing function most teams are missing.
    • The Value Governance Framework: A practical, lightweight scoring discipline that makes tradeoffs explicit and helps you force-rank AI projects based on real-world business outcomes—not technical novelty or internal politics.
    • The AI Readiness Secret: Why most AI initiatives stall before they deliver value—and what data readiness and Target Operating Model (TOM) alignment actually look like in practice. We’ll cover how to bridge the gap between ambition and adoption, so pilots stop dying in proof-of-concept purgatory.
    • Compliance, Reframed: How leading organizations are moving compliance upstream in the data and AI product lifecycle—turning it from a last-minute blocker into a design principle that accelerates trustworthy delivery.