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View, browse and sort the ever-growing list of sessions by day, pass type, topic, and format. With this Session Viewer, you can view GDC 2023 session details and speakers, and share your favorites via social media. You will be able to build your schedule and access it during the show via export or Mobile App, once live. Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend.
Tatsuo Yoshida (Director of Data Science, Square Enix)
Jon House (Senior Manager, Data Engineering, Square Enix)
Deb Lee (Customer Engineer, AI & ML, Google Cloud)
Sam Weeks (Customer Engineer for Gaming, Google)
Location: Room 3020, West Hall
Date: Tuesday, March 21
Time: 2:10 pm - 2:40 pm
Pass Type: All Access Pass, Core Pass, Summits Pass, Expo Pass, Audio Pass, Independent Games Summit Pass
Topic: Business & Marketing
Format: Sponsor Developer Summit
Vault Recording: Video
Square Enix has developed an in-house solution called Single Gamer View, which manages large volumes of data across all data points of the business.
Jon House, Senior Manager of the Data Engineering team, will share how they adopted GCP solutions to build a centralized data lake and overcame the challenges of handling large volumes of real-time data.
The Single Gamer View solution provides more than typical data lake and reporting solutions, as it has developed data science capabilities and integrated machine learning models to improve player engagement.
Tatsuo Yoshida, Director of Data Science, demonstrates the use of machine learning for major titles such as Final Fantasy XIV and Life is Strange: True Colors.
Square Enix's data/machine learning journey is just starting, and GCP's new AI solution, Vertex AI, will support Single Gamer View to deliver success to the business.
Square Enix’s in house solution, Single Gamer View (SGV) is built on Google Cloud Platform. SGV enables the Western organization to keep all data in one place, and provides machine learning based customer engagement solutions to increase value to fans.
This is for anyone who wants to achieve marketing success through data.
Topics such as data engineering and machine learning will be covered, but no prior experience is required.