AWS for Games Blog

Category: Amazon Machine Learning

Using generative AI to build the ultimate VALORANT esports team

Amazon Web Services (AWS) and Riot Games are calling on esports fans and builders alike to participate in the VALORANT Champions Tour (VCT) Hackathon: Esports Manager Challenge. This new hackathon will put the latest generative AI tools in the hands of fans to unlock new ways to build and develop stronger esports teams. VALORANT is […]

Modulate scales ToxMod AI voice chat moderation tool with AWS

From in-game chats to gig economy apps, social media, and beyond, digital conversations can quickly turn toxic, even dangerous. It’s a problem that Massachusetts-based startup Modulate is tackling head-on with its ToxMod voice chat moderation tool. The technology applies artificial intelligence (AI) and machine learning (ML) to voice conversations to flag problematic behavior, and has […]

Level-Up Mood Board Creation with Amazon Bedrock and Miro – Part 1

Introduction Imagine a visual canvas where ideas converge, sparking inspiration and collaboration. That’s the power of a mood board—a curated collection of images, colors, and textures that encapsulate the essence of a project. These versatile tools empower artists and designers to visualize concepts and establish a cohesive vision across various creative industries, including: Video Game […]

Gamer Arena minimizes DevOps demands, unlocks generative AI potential with AWS

Serving more than 550,000 users globally, Gamer Arena offers a unique ecosystem for video game players to compete and earn rewards. Established in 2020, the company aims to introduce gamers to the advantages of blockchain technology in a fun and exciting way. It hosts a mobile application with more than 20 self-published games, as well […]

Operationalize generative AI applications on AWS: Part II – Architecture Deep Dive

In our previous blog, Operationalize generative AI applications on AWS: Part I, we covered the basics of how companies are using generative AI and Large Language Model Operations (LLMOps) on AWS. We discussed use cases for game companies using generative AI, ways to customize LLM, and a high-level architecture for the LLMOps solution on AWS. […]

HUDstats switches from OpenAI to Amazon Bedrock to advance esports storytelling using generative AI

In the past decade, esports has evolved into a billion-dollar industry, with dozens of leagues, thousands of athletes, teams, franchises, and rising fan culture. In this realm, as in the world of physical sports, storytelling is key to success. Turning pixels into stories is the focus for HUDstats, a Netherlands/Hague-based esports data and analytics company on […]

Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution

With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business. FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images. As more companies train […]

AWS for Games to spotlight generative AI at GDC 2024

With the annual Game Developer Conference (GDC) just days away, Amazon Web Services (AWS) for Games is ramping up to host exciting technology demonstrations and programming focused on evolving industry trends, including generative artificial intelligence (AI). From March 18-22, AWS for Games invites developers to connect with its team and see new AWS for Games […]

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, […]