AWS for Games Blog
Category: Amazon OpenSearch Service
Level up data-driven player insights with the updated Game Analytics Pipeline
In the fast-paced gaming industry, successful studios utilize real player data to drive game development. Data-driven insights create powerful feedback loops to refine game features, optimize monetization strategies, detect cheaters, and improve performance. This empowers developers to improve player experiences and drive growth. Despite recognizing the value of analytics, many game studios grapple with limited […]
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. […]
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 […]