Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. All registered attendees will be able to build their personal schedule directly within the event platform, once live early July 2021. All times are listed in Pacific Time.
Natasha Rooney (Games ML Specialist Senior Solutions Architect , AWS Game Tech)
Mat Rowlands (Games ML Specialist Senior Solutions Architect, AWS Game Tech)
Date: Thursday, July 22
Time: 2:30pm - 3:00pm
Pass Type: All Access Pass, Core Pass, Summits Pass, Expo Pass, Audio Pass, Independent Games Summit Pass
Format: Sponsored Session
Vault Recording: Not Recorded
Building a positive, trust-based environment is essential for an in-game community to thrive. In this session, explore how to detect and resolve trust-breaking incidents, including fraud detection, cheating, and abusive chat, using AWS machine learning solutions. Learn how to support your game’s community and create a fair and safe space for all users with services including Amazon SageMaker, Amazon Personalize, and Amazon Rekognition.
Attendees will come away from this talk with lessons on how to combat and protect against common in-game toxicity challenges using AWS technology. You will learn how to detect, resolve, and prevent fraud detection, cheating, and abusive chat with AWS services including Amazon SageMaker, Amazon Personalize, and Amazon Rekognition.
This talk will appeal to Data Scientists, Game Engineers, Backend Developers and Technical Decision Makers who are looking to improve in-game community with machine learning and AWS solutions. Basic knowledge of cloud computing is recommended but not essential for this session.