How Leaders Build AI Skills at Scale
Key Takeaways:- Learn how to personalize AI training at scale across diverse teams and roles.
- Discover strategies for boosting adoption and engagement in learning programs.
- Understand how to maximize the ROI of enterprise-wide AI upskilling.
Description
Rolling out AI training to thousands of employees is no longer just a learning challenge—it’s a strategic imperative. As the pace of AI adoption accelerates, L&D leaders are being asked to deliver scalable, personalized, and high-impact programs that reach every corner of the organization.
In this panel interview, experts share how they’ve built AI training programs that scale without sacrificing relevance or engagement. You’ll learn how to tailor learning to different roles, increase adoption, and measure real business impact—no matter the size of your workforce.
Presenter Bio
Amber has two decades of experience as a learning and development leader. At BMS, she works at the intersection of data, learning science, and change management. Amber runs the BMS data upskilling program of over 6000 learners. Previously, she was Director of Learning and Development at Microsoft.
Dr. Colleen B. Young is a Data Scientist who specializes in strategizing digital modernization and transformation at companies. She received her B.A. in Anthropology from the University of California at Berkeley and a Ph.D. in Biological Anthropology from the University of Missouri, where she contributed to understanding the biological and behavioral corollaries of living in island environments. She currently works at Bayer where she identifies employee data science and digital fluency training needs to maintain company progress as a leader in solving the complex issue of Hunger for None and Healthcare for All. She supports curriculum development and delivery in science, technology, and data asset platforms and strategies. Her close partnership with DataCamp is an integral resource to support and expand this initiative at Bayer.
Andy leads AI Strategy at technology services provider, Wizeline, driving business transformation and impact through artificial intelligence. He is also a Professor of Data Science at the University of CEMA. With over two decades of experience in business intelligence, data engineering, and management consultancy, Andy previously developed his expertise in senior leadership roles at influential companies such as Boston Consulting Group, Hitachi, and SAS.