GDC 2025 Session Viewer

In an era where AI technology is rapidly evolving, game development teams are under pressure to innovate while delivering concrete value. Drawing from experiences leading AI initiatives at Keywords Studios and Amazon Web Services, this talk presents a practical framework for identifying, validating, and executing proof-of-concept projects that solve real problems. Through case studies and lessons learned, attendees will learn how to avoid common pitfalls that lead to failed POCs, techniques for engaging domain experts effectively, and methods for rapidly iterating on solutions. The presentation will focus particularly on how to identify genuine problems worth solving, rather than chasing technology for technology's sake.

Takeaway

Attendees will gain a battle-tested framework for evaluating AI innovation opportunities, including methods for problem validation, data readiness assessment, and success metrics definition. They will learn practical techniques for rapid prototyping and iteration that can be immediately applied to their own AI initiatives. The framework emphasizes early stakeholder engagement and clear success criteria to increase POC success rates.

Intended Audience

This talk is designed for technical leaders, producers, and developers who are responsible for evaluating and implementing new technologies in game development. While focused on AI initiatives, the framework and lessons are applicable to any innovation project. Basic familiarity with software development processes and general AI concepts is helpful but not required.