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GDC 2022 Session Viewer

View, browse and sort the ever-growing list of sessions by pass type, topic, format and viewing experience. Use the experience filter to view sessions and roundtables that will be available on the virtual GDC event platform. Virtual sessions will be available to watch on-demand through April 1st, 2022 at 5pm PT. All days/times are displayed in Pacific Time.

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Application of AI Technology and Organizational Design to Improve Game Quality and Productivity

Katsuhiko Sato  (Business Development & Technical Director, DeNA Co., Ltd.)

Location: Room 2016, West Hall

Date: Thursday, March 24

Time: 11:30 am - 12:30 pm

Pass Type: All Access Pass, Core Pass - Get your pass now!

Topic: Production & Team Management, Programming

Format: Session

Viewing Experience: In-Person

Vault Recording: Video

Audience Level: No

This presentation will provide a concrete explanation in discussing how to appropriately match business use and AI technology in game product development, how to comprehensively and properly manage the development of multiple game products and R&D, and how to build organizational structure and strategy for scaling effectively based on case studies from DeNA's efforts. At the "Applying AI in Games with DeNA (Presented by Google Cloud)" presentation at GDC 2019, DeNA discussed the usage of machine learning technology to optimize the game balance in "Gyakuten Othellonia." Starting with this, we established a cross-project system dedicated to promoting and scaling the use of advanced AI in game products and have been developing a number of case studies. Through this presentation, we believe that you will be able to understand the organizational know-how for efficiently implementing and scaling AI technology for multiple game products with specific cases.

Takeaway

The audience will develop an understanding of the role and effectiveness of organizational structures to enable the use of advanced AI technology in games. With specific use cases, they can also take away how to plan and manage parallel processes of development and R&D for multiple game products.

Intended Audience

This talk is for managers, game developers, and R&D teams who are interested in contributing to the business through the actual implementation of advanced AI technology in game products, and strengthening organizational capabilities to achieve this. Basic knowledge of machine learning techniques is preferred, but not required.