Navigating the Challenges of ML Deployment in the Gaming Industry
Abstract
The gaming industry has come a long way from its humble beginnings, but one thing that remains constant is the desire for a richer, personalized and safer experience. In today’s world, machine learning is the driving force behind this desire. However, deploying machine learning models quickly and efficiently is critical to achieving this goal. Jean-Michel will share his insights and expertise from his experience as a data scientist at Ubisoft (without a computer science background), operating machine learning pipelines in production and supporting the development and usage of a machine learning platform internally.
Jean-Michel Daignan
Data Scientist - Ubisoft
Jean-Michel is an experienced data scientist at Ubisoft with a Master’s degree in engineering. He worked in the energy sector previously and he has a track record of developing and deploying ML models in production, like in-game recommender systems impacting millions of player’s experience. Jean-Michel’s expertise includes data pipeline design, ETL scripting, and statistical analysis. He is passionate about staying up-to-date on the latest ML frameworks and approaches and is eager to share his insights at this conference.