About this session

Every enterprise claims to be “data-driven”. But in 2026, is data-driven even enough?

When decisions need to be made faster than humans can react, when operations demand real-time optimisation, and when competitive advantage depends on systems that can think and act, not just report, leaders must confront a new question:

What does your organisation look like when decisions no longer wait for people?

In this session, Rajesh Sura, Head of Data Engineering & Analytics at Amazon, reveals how one of the world’s most intricate enterprises is shifting from conventional data products to agentic AI systems that make autonomous decisions at scale. This is not a theoretical vision, it is a real transformation already in motion inside Amazon.

But beyond technology, the story is about organisational change. It will challenge you to rethink traditional operating models and confront the organisational implications of autonomous decisioning. You will leave with an honest view of what it takes to build and scale agentic AI from the first prototype to full enterprise deploymentand what capabilities your organisation must develop now if you want to be ready for the next era of intelligent operations.

Discussion points:

• A real enterprise case study on deploying agentic AI inside a complex retail environment
• The journey from idea → architecture → experimentation → autonomous deployment
• Redesigning governance, compliance, and risk frameworks for AI agents that take action
• The technical, operational, and cultural challenges—and the solutions that scaled
• Lessons on driving adoption and trust among thousands of internal users
• What Rajesh would change if he were building the autonomous decisioning ecosystem again