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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Note that multiple personas can be covered by the same person depending on the scaling and MLOps maturity of the business. Example use cases are clothing design generation or imaginary personalized images. If an organization has no AI/ML experts in their team, then an API service might be better suited for them.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

Apache Flink is a distributed streaming, high-throughput, low-latency data flow engine that provides a convenient and easy way to use the Data Stream API, and it supports stateful processing functions, checkpointing, and parallel processing out of the box. Erick Martinez is a Sr.

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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. For a single model registration we can use the ModelStep API to create a SageMaker model in registry. This is a guest blog post co-written with Hussain Jagirdar from Games24x7.

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