Fixing Skills Data with AI | Creating Insights from Skills | Lessons from Data Science with Robert Gibby

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The TechWolf Podcast

TechWolf

17 episodes

5 days ago

Technology in HR is booming, yet confusing. Many vendors claim to include AI (agents), skills, seamless integrations, and other technologies in their product offerings. In practice, product promises often differ from reality. In this podcast, our host, Julius Schelstraete, holds no-nonsense conversations with business practitioners and thought leaders on everything related to "the skills-based organization": what it is, whether it's realistic, typical roadblocks, real-life use cases, and more. Join us as we move beyond the hype and examine skills-based HR from a critical, realistic lens!

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Fixing Skills Data with AI | Creating Insights from Skills | Lessons from Data Science with Robert Gibby

The TechWolf Podcast

44 minutes 6 seconds

7 months ago

Fixing Skills Data with AI | Creating Insights from Skills | Lessons from Data Science with Robert Gibby

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.