Data and AI play a central role in the development and operation of today’s top-grossing video games. Studios struggle with fragmented views of their audience, with data outpacing legacy technologies. With the need for real-time capabilities and the leap from descriptive to predictive analytics, Azure Databricks is the most comprehensive and effective platform for data and AI workloads.
This workshop will dig into the game development lifecycle and show how to supercharge your data + AI strategy at each stage of development. Hear from special guest Francisco Ruis - Head of Data Science and Data Engineering at Minecraft as he shares how Mojang personalizes recommendations for 130M monthly active gamers. In addition, gaming specialists from Azure and Databricks will showcase pre-built Solution Accelerators for the most common data and AI use cases — including in-game personalization, behavioral segmentation, customer lifetime value, and survivorship/churn prediction.
Join us to:
- Get an overview of the pre-built Solution Accelerators for common game development data and AI use cases
- Learn how to build scalable and reliable pipelines for real-time gaming analytics
- Hear from Databricks customers on how they are leveraging the scale of Azure and the power of the Databricks platform to accelerate time-to-value
- Get an in-depth understanding of an end-to-end solution for customer survivorship and churn prediction based on near real-time session analytics