Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch
This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from ...
Tag: lifecycle
Governing the ML lifecycle at scale, Part 2: Multi-account foundations
Your multi-account strategy is the core of your foundational environment on AWS. Design decisions around your multi-account environment are critical ...
Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock
Generative ai agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and ...
Modernizing data science lifecycle management with AWS and Wipro
This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS ai/ML Practice. Many organizations have ...
Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker
Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. ...
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