Skills-based talent management has been a major investment area for years, yet many organizations are still struggling to show clear value from heavy enterprise architectures, complex taxonomies, and rigid proficiency models.

With rapid advancements in AI, technology decisions made just two years ago are already ripe for reconsideration. Rather than overengineering systems, leaders must rethink their architecture, technology, and starting point to keep skills data precise enough to trust, but nimble enough to maintain.

Led by Shweta Srivastava, Matt Donovan, Katie McAllister, Craig Friedman, and Matt Sernaker, c

What happens next? This post captures our live framework. In a few days, we will update this page with the real-time breakthroughs, questions, and insights shared by our executive peers during the conference dialogue. Stay tuned!