Agenda

Gaming companies generate terabytes of player telemetry daily, but traditional analytics can't keep pace—insights arrive weeks late while revenue opportunities vanish. This chalk talk demonstrates building an agentic live ops solution on AWS that transforms player data interaction at scale. Using Strands Agents with Amazon Bedrock AgentCore and Knowledge Bases, we'll show how teams can instantly surface behavior patterns, segment characteristics, and personalization opportunities

Takeaway

Attendees will learn how to build agentic AI solutions using Amazon Bedrock that reduce live ops analysis cycles from weeks to days. They'll see a live demonstration of conversational analytics, understand the architecture patterns for scaling player segmentation from 100 to 1,000+ segments, and gain an actionable implementation strategy.

Intended Audience

This session targets data teams, analytics teams, live ops teams, and product managers at game studios and publishers struggling with slow analytics workflows and manual player segmentation. Basic familiarity with live operations concepts and AWS services is helpful but not required—we'll explain core concepts before diving into technical implementation.