AWS for Games Blog
Category: Amazon Machine Learning
Level-Up Player Retention with No-Code Machine Learning Using Amazon SageMaker Canvas
Free-to-play (F2P) games have become a dominant force and model in the gaming industry. Their revenue relies primarily on in-game ads and transactions driven by a large, engaged, and consistent player base. Besides requiring robust infrastructure and backend systems to handle the scale of incoming players, F2P games also require a continual funnel of new players, […]
AWS for Games updates from re:Invent 2023
During re:Invent 2023, the AWS for Games team showcased the latest ways our customers are using AWS game development tools and introduced several new purpose-built guidance and partner solutions that are now available in the AWS Games Solution Library. Recordings of AWS for Games customer presentations from re:Invent include: Customer Keynote – Riot Games: Riot Games’ […]
Pain in the Asset Library: How Machine Learning can make your production pipeline 1000x faster
Finding related textures in a texture library can be a black hole of wasted time. Using Amazon Rekognition, Amazon’s machine learning API, you can tag your textures and do searches to find them in seconds… In game development, we commonly have a large asset library of textures or scenes that become our “painter’s palette”. This […]