Recorded on October 22nd '25 / 12:00 PM to 12:30 PM CEST
Speaker
Moderator
As AI adoption accelerates, reskilling at scale has become a business critical priority. At Schneider Electric, the creation of a global Data & AI School enabled the company to upskill employees across every function, from engineers to HR to factory workers, while developing leaders as AI advocates. In this session, Jean-Come Renaudin, Director of AI & Data School, shares the practical building blocks of a successful AI upskilling program including leadership sponsorship, scalable learning models, employee engagement, and change management. Attendees will walk away with a roadmap for driving AI literacy and adoption across their organizations, no matter the size or sector.
Key Takeaways for Attendees:
- Design at scale: How to segment learning journeys for experts, business partners, leaders, and all employees
- Blend learning with action: Why experiential approaches such as ‘promptathons’ and using case challenges to accelerate adoption
- Build champions: How to create a network of advocates who drive grassroots change in every business unit
- Secure leadership buy-in: Practical tips on aligning C-suite sponsorship with bottom-up momentum
- Measure what matters: KPIs for learning, adoption, and workforce readiness that prove ROI and sustain investment
Speaker
Moderator