Session
Raising the Stakes: Enhancing Player Experience using ML/AI
Overview
Thursday
June 12
12:30 pm
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Strategy |
Industry | Media and Entertainment |
Technologies | MLFlow, Mosaic AI, Unity Catalog |
Skill Level | Beginner |
Duration | 40 min |
At Second Dinner, delivering fast, personalized gameplay experiences is key to player engagement. In this session, Justin Wu shares how the team implemented real-time feature serving using Databricks to power responsive, data-driven game mechanics at scale. He’ll dive into the architecture, technical decisions, and trade-offs behind their solution—highlighting how they balance performance, scalability, and cost. Whether you're building live features or rethinking your game data stack, this session offers practical insights to accelerate your journey.