Paul Bell

Entain, one of the world’s largest sports betting and gaming groups, serves millions across digital and retail channels. To support its AI strategy in a regulated environment, Entain is evolving from manual to AI-supported to agent-driven data management. This session explores their 3-stage framework and first principles for closing the agentic AI data integrity gap—building agentic-ready data that is accessible, reliable, enriched, and governed.

Entain, one of the world's largest global sports betting and gaming groups, operates in digital and retail channels to serve millions of users. To ensure its highly regulated data can power an ambitious AI strategy, Entain is closing data integrity gaps and defining a 3-stage framework for agentic AI readiness. Join this session for practical tips and solutions that can help you map your journey from today’s challenges to Agentic-Ready Data.

For this presentation, I'll go through the Top 5 locations for where we can store a SQL database today: physical, virtual, IaaS (Azure VM and EC2), Managed Instances, or DBaaS (Azure SQL DB). We'll spend 5-10min on each offering going over pros/cons and several use cases.