Leveraging Data Science for Game Growth and Matchmaking Optimization

For video games, Data Science solutions can be applied throughout players' lifecycle, from Adtech, LTV forecasting, In-game economic system monitoring to experimentation. Databricks is used as a data and computation foundation to power these data science solutions, enabling data scientists to easily develop and deploy these solutions for different use cases.

In this session, we will share insights on how Databricks-powered data science solutions drive game growth and improve player experiences using different advanced analytics, modeling, experimentation, and causal inference methods. We will introduce the business use cases, data science techniques, as well as Databricks demos.

Talk by: Zhenyu Zhao and Shuo Chen