Retail and ecommerce leaders are under pressure to “do something with AI” but separating noise from real commercial value is harder than ever. In this keynote, you’ll hear what’s actually working in the field from both a product and go to market lens.

Brent, a product and AI leader at Akamai with deep commerce experience, will share how retailers are experimenting with AI agents, large language models, data feeds, and AI generated/descriptive images across the shopping and service journey. Sudesh will connect those experiments to outcomes, walking through the specific “levers” commerce teams can pull from rendering and performance, to smarter catalog and feed intelligence, to image and content automation.

You’ll see how a leading global retailer and other brands are moving from slideware to in practice deployments, including early POC results in conversion, engagement, and operational efficiency. Rather than a buzzword tour, this session focuses on how to choose the right use cases, connect data and experiences, and build an AI roadmap your executive team can actually support. Expect practical stories, live examples, and clear decision frameworks you can take back to your own commerce stack.

Attendee Takeaways:

• How to prioritize AI use cases (agents, LLMs, feeds, images) that directly support your revenue and customer experience goals.
• Frameworks to connect data feeds, catalog intelligence, and AI so that recommendations, search, and content actually improve conversion.
• How to use “commerce levers” like rendering, feeds, and images to improve speed, relevance, and productivity across the shopping journey.