In this episode, Robert Gibby, current Data Science Director at Cox Enterprises, former Director of People Analytics at Meta, and Chief Talent Scientist at IBM, shares his experience designing AI-powered skills intelligence for workforce planning, talent mobility, and hiring.
Robert Discusses:
- How AI can be used to redefine skills-based job architecture
- Why skills-based transformations can stall - how to keep them going
- The problem with self-reported skills data - and how AI improves accuracy
- How companies can move from a job-based to a skill-based workforce
- What's next for skills intelligence - and why the future is skills-to-work, not skills-to-job
He also unpacks the biggest lessons he learned about using skills data to drive real business impact, talent agility, and workforce planning.
Final Take-away: Skills-based organizations don't just need better data - they need Ai-driven strategies to make skills intelligence actionable at scale.
