Organizations often struggle to connect learning efforts with measurable business impact, despite high course completion rates and positive feedback. This session explores how to bridge that gap by aligning business strategy, capability building, and learning through a data-driven approach without replacing your existing learning infrastructure. Learn how to define critical capabilities, build and validate a dynamic skills matrix, and power a Skills Intelligence Engine enhanced by AI to deliver personalized insights for learners and stakeholders.

Discover how to move beyond traditional metrics by capturing data on skilling velocity, capability gaps, and learning effectiveness. Gain practical guidance on designing personalized learning journeys, enabling reskilling at scale, and collaborating with business leaders to ensure true transfer of learning. Walk away with a clear view of the architecture, KPIs, and data strategies needed to transform learning into a measurable driver of performance.

• A clear blueprint to transition from a content-driven L&D model to a skills-based operating model aligned with business strategy
• Practical approaches to layer AI onto your existing learning ecosystem to build a scalable Skills Intelligence Engine
• Methods to automate skills data extraction from learning content, combining AI with human-in-the-loop validation for accuracy
• Strategies to drive data-informed stakeholder engagement for capability building and sustained skills development