

Fixing Skills Data with AI | Creating Insights from Skills | Lessons from Data Science with Robert Gibby
Mar 19, 2025
Robert Gibby, Data Science Director at Cox Enterprises and former Director of People Analytics at Meta, dives into the transformative power of AI in workforce planning. He highlights the pitfalls of self-reported skills data and how AI can enhance accuracy. Gibby also discusses the shift from job-based to skill-based models, pinpointing the importance of adaptability in HR practices. Key takeaways include that skills-based organizations require actionable AI-driven strategies to truly leverage skills intelligence for business impact.
AI Snips
Chapters
Transcript
Episode notes
Skills Redefine Job Architecture
- Rethinking job definitions around skills enables fluid talent movement in evolving work models.
- Skills-based approaches underpin future work integration with AI and project-based tasks.
Defining Skills vs Competencies
- Skills are building blocks including technical, relational, and tooling capabilities.
- Competencies elevate these skills into broader career frameworks reflecting company values.
Building AI-Driven Skill Engine
- Combined IO psychology expertise with AI to analyze multiple employee data sources for skill signals.
- Created a skill engine with a robust skill ontology to accurately match people to jobs and projects.