Flipboard

APRIL 23, 2025

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

AWS 110

AWS ML ML AI 110

AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Moreover, these teams might be geographically dispersed and run their workloads in different locations and regions; many hosted on AWS, some elsewhere.

AWS 123

AWS AI AI Machine Learning 123

AWS Machine Learning Blog

FEBRUARY 13, 2025

A/B testing and experimentation Data science teams can systematically evaluate different model-tool combinations, measure performance metrics, and analyze response patterns in controlled environments. AWS Lambda functions for executing specific actions (such as submitting vacation requests or expense reports).

AI 105

AI AI AWS ML 105

AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. A model developer typically starts to work in an individual ML development environment within Amazon SageMaker.

ML 134

ML ML AWS Machine Learning 134

AWS Machine Learning Blog

JUNE 6, 2025

Organizations also use multiple AWS accounts for their users. Larger enterprises might want to separate different business units, teams, or environments (production, staging, development) into different AWS accounts. This provides more granular control and isolation between these different parts of the organization.

Clustering 73

Clustering AWS Data Scientist ML 73

AWS Machine Learning Blog

MAY 23, 2023

In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture. We finish with a case study highlighting the benefits realize by a large AWS and PwC customer who implemented this solution. The following diagram illustrates the workflow.

Machine Learning 103

Machine Learning Machine Learning AWS ML 103

Data Science 101

AUGUST 31, 2023

We’re just big fans of effortless team collaboration It’s a dev tool designed to enhance distributed software development by providing a collaborative and visual tool for managing complex system architectures. About 10 years ago I began thinking about a platform like this to make working on distributed software easier.

System Architecture 116

System Architecture AWS 116