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Explore how Second Dinner revolutionized player engagement through real-time feature serving and machine learning in this 19-minute conference talk from Databricks. Learn from Justin Wu, Director of Data/Data Engineer at Second Dinner, and Max Nienu, Lead SA at Databricks, as they reveal the technical architecture and strategic decisions behind implementing scalable, data-driven game mechanics that deliver fast, personalized gameplay experiences. Discover the specific trade-offs between performance, scalability, and cost that shaped their solution, while gaining practical insights into building responsive live features and optimizing game data stacks. Understand how real-time ML/AI implementation can transform player experience through personalized, data-driven mechanics that operate at scale, making this session valuable for anyone developing live gaming features or reconsidering their approach to game data architecture.
