Leadership has been asking learning and development (L&D) the same questions for years:
- Is learning building the capabilities we need?
- Where are our skill gaps?
- What’s the ROI?
Most L&D teams have struggled to answer these questions with data because learning, skills and performance metrics live in different systems. Without connection, learning activity never translates into business outcomes. In this session, you see the data foundations that make performance-focused L&D possible — and why it’s essential to start here before adding new tools like artificial intelligence (AI).
When systems connect, organizations gain the ability to predict capability gaps before they impact results, prove learning ROI with data instead of assumptions and build readiness for AI solutions that support smarter decisions over time. We walk through three questions leadership asks, outline the data architecture that answers them and share examples from organizations that made the shift — including one that identified millions of dollars in productivity gains directly attributable to learning programs.
WHAT YOU WILL LEARN
This interactive talk provides easy-to-understand insights on:
- The performance signals hiding in your learning data — and how to spot capability gaps early
- How to connect skill development to actual performance outcomes and prove learning ROI with evidence
- What connected systems look like in practice — and actionable steps to move away from reactive L&D