DataFramed #138 Data Science & AI in the Gaming Industry
May 22, 2023
Marie de Léséleuc, an accomplished professional with over a decade in the gaming industry at Ubisoft and Eidos, dives into the significant role of data science and AI in gaming. She discusses how data shapes player experiences, from improving NPC behavior to enhancing game quality through player feedback. The conversation also addresses the challenges data teams face, like low data volumes and the need for collaboration across departments. Lastly, Marie highlights the distinct uses of data in live versus box games, showcasing the industry's dynamic nature.
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Episode notes
Data Science's Role in Gaming
- Data science helps understand player behavior and optimize game systems.
- It's used pre- and post-launch to ensure enjoyable experiences.
Data Science Applications in Gaming
- Data science is versatile and has various applications in gaming.
- It's used for NPC AI, system optimization, and sentiment analysis of player feedback.
AI-Driven QA Testing
- AI agents can be used in QA testing to identify bugs and level design issues.
- If agents repeatedly fall into the same hole, it suggests a level design flaw.