AI’s greatest potential isn’t in replacing people: it’s in amplifying human capability. This session looks at concrete ways organizations are using AI and data to improve decision-making, build skills across teams, and create new opportunities for innovation.

Tom Davenport, a leading authority on how AI changes human work, will set the stage with insights from his research.

Dan Koloski will share examples of how managers translate AI and data literacy into real workplace practices.

Chris Torina will outline how structured intrapreneurship programs turn employee ideas into business results.

Featuring Berkeley Almand-Hunter, Technical Director of Partner Products at The Roux Institute and co-developer of the Analytical LEAP framework.

What You’ll Learn

• How AI extends, rather than replaces, what people can do and what that means for leadership mindsets (Davenport)
• How middle managers are turning AI and data literacy into day-to-day advances (Koloski)
• How intrapreneurship programs channel employee initiatives into measurable impact (Torina)

Questions We’ll Explore

1. How is AI changing the way leaders think about human capability and decision-making?
2. What role do middle managers play in turning AI and data literacy into everyday results?
3. How can organizations structure intrapreneurship so employee ideas become measurable business outcomes?
4. What connections tie these approaches together, and what questions matter most to your organization right now?

This event delivers both high-level perspective and practical cases, giving you clear examples of how organizations are approaching AI and data today.