Agenda

Machine Learning and generative approaches are changing how we build games, operate them, and even how we write code day-to-day.

This round table focuses on how recent advances impacted development and operations in practice over the past year. What tools and workflows stuck. What promised productivity but fell apart at scale. What fundamentally changed how teams work, collaborate, and ship. And what we quietly rolled back.

The goal is to share lived experience from the trenches. Not predictions. Not hype. Just what it feels like to make and run games with modern ML in the loop.

Takeaway

Attendees gain a grounded understanding of how ML and GenAI are being used today in game development pipelines and live operations. This includes tooling, automation, coding workflows, DevOps, LiveOps, and internal platforms.

Rather than focusing on abstract potential, this session highlights concrete wins, real costs, and operational lessons learned. Attendees should leave with a better sense of what is worth trying next year, what requires caution, and what is probably not ready yet.

Intended Audience

This round table is aimed at ML practitioners working in game development and operations. This includes AI and ML engineers, technical directors, leads, tools engineers, backend and DevOps engineers, and anyone shaping development workflows.

You do not need to be an ML expert, but you should care about how ML changes how games are made and operated. If you have adopted, evaluated, or resisted ML-driven tools in the past year, you will have something to contribute.