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In this live session, Jason Foster and Greg Freeman tackle the uncomfortable truth behind stalled data & AI adoption, disappointing ROI, and why so many organisations keep “re-platforming” without ever moving the needle on value. This session unpacks the gap that most organisations don’t want to admit: the difference between what they say they want from data and AI and what they actually invest in to get there. 1. Desire vs Reality: The investment gap Jason and Greg will break down where budgets are really going in 2026: rising spend on platforms, models, and tooling… paired with flat or minimal investment in data and AI literacy. Expect a candid look at why this mismatch keeps slowing adoption and eroding value. 2. What actually gets investment, versus what actually drives value Jason brings the advisory view from years inside large-scale transformations. Greg brings the organisational-behaviour and capability perspective. Together, they’ll expose the patterns they see every day: teams drowning in complexity, leaders stuck in hype cycles, and skills programmes arriving too late to make a difference. 3. How to measure and deliver ROI in 2026 A practical discussion on how budgets need to evolve next year. Not just “more training,” but how to track uplift, quantify adoption, and tie people-readiness directly to business outcomes. 4. A revealing look at the numbers We’ll walk through a concise deck of stats, benchmarks, and customer stories that show the real consequences of misaligned budgets, from unused tech to stalled AI projects. This is designed to nudge data leaders out of the passive cycle of “buy first, upskill later.” By the end, leaders will have a clear view of why 2026 budgets can’t look like 2025, and how to build a balanced investment model that actually delivers value.