Episode 59: L&D Has a Data Problem with Nolan Hout
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What if the biggest thing holding L&D back isn't AI, but our data?
Jess sits down with Nolan Hout to explore why Learning is often "data poor," why completion metrics aren't enough, and how stronger partnerships unlock the business data that proves impact. They discuss AI, measurement, ROI, cost efficiency, and practical ways to connect learning initiatives to business outcomes. If you want L&D to influence business decisions instead of simply reporting training activity, this conversation is a great place to start.
Jess and Nolan Discuss
Why L&D is often "data poor" compared to other business functions
The difference between learning activity and business impact
Why SCORM data limits meaningful measurement
How AI amplifies both good and bad data practices
The business metrics L&D should pursue with stakeholders
Why measurement begins before training starts
Building partnerships to gain access to business data
Using AI to create better business hypotheses
Rethinking cost per learner and learning ROI
Reinvesting AI efficiencies into higher-impact learning experiences
About Nolan Hout
Nolan Hout is the Senior Vice President of Growth at InfoPro Learning. He has more than 15 years of experience in learning, talent development, and workforce transformation, and helps global organizations align learning strategies with real business outcomes. He's also the host of The Talent Equation podcast, where he interviews leading voices in leadership, AI, and the future of work.
