What distinguishes organizations that capture real value from AI from those still experimenting?

In this episode of AWS Executive Insights, Roger Premo, Global Head of Strategy at IBM, breaks down the practical lessons behind IBM’s own AI transformation. From embedding generative AI into everyday workflows to codifying an agentic development lifecycle, IBM has paired leadership commitment with disciplined execution to drive measurable results.

Premo discusses how hybrid cloud architecture enables agents to access data across heterogeneous environments, why data product management is now a business imperative, and how governance must be built into AI systems from the start. This essential discussion offers leaders a framework for moving beyond isolated pilots and building scalable, secure, and value-driven AI capabilities. Thank you to IBM for their partnership and participation in this discussion.

Every major technology shift follows a familiar arc: from uncertainty to trust to scale. Erin Kraemer, Senior Principal Technical Product Manager for AWS Agentic AI, draws on her experience at AWS to explore how agentic AI is progressing along that curve today.

The discussion highlights why observability and guardrails matter, how teams build confidence over time, and what leaders can do now to prepare for greater autonomy.

From covering the front desk as an intern to leading global business strategy, James Waters’ career at Booking.com mirrors the company’s own transformation.

Now Chief Business Officer, Waters reflects on how experimentation, data-driven decision making, and a strong customer focus have powered Booking.com’s growth. As generative AI reshapes the travel industry, he shares how the company is evolving its connected trip vision while reinforcing responsible AI principles and strong technical foundations.

This episode offers leaders a thoughtful perspective on scaling innovation, sustaining culture through change, and using AI to amplify human ingenuity.