Optimizing MLOps for Sustainability

Favorite Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number of companies are looking for

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Shared by AWS Machine Learning September 12, 2024

Generative AI-powered technology operations

Favorite Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context of this post, we refer

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Shared by AWS Machine Learning September 12, 2024

Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

Favorite Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series

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Shared by AWS Machine Learning September 12, 2024

Introducing Amazon EKS support in Amazon SageMaker HyperPod

Favorite We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation

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Shared by AWS Machine Learning September 12, 2024