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AWS CodePipeline

The Weather Company improves MLOps through the use of Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch.

The Weather Company (TWCo) needed a robust Machine Learning Operations (MLOps) platform to support their growing data science team, and to create predictive, privacy-friendly machine learning (ML) models. The existing cloud environment lacked transparency for ML jobs and monitoring, making collaboration challenging. TWCo partnered with AWS Machine Learning Solutions Lab (MLSL) to enhance its MLOps…

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Construct a dynamic learning pipeline for auto-labelling of photos using AWS services.

Veoneer, a global leader in automotive electronic safety systems, collaborated with Amazon to develop an active learning pipeline for in-cabin sensing. Collaborating with Amazon's Worldwide Specialist Organization and the Generative AI Innovation Centre, they were able to cut costs by 90% and speed up the annotation process from weeks to hours. In-cabin sensing uses cameras, radar,…

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Improve the efficiency of code review and authorization using generative AI through Amazon Bedrock.

In the software development world, code review and approval are vital steps for ensuring software quality, functionality, and security. However, managers often face challenges with these processes, including lack of technical expertise, time constraints, high volumes of change requests, manual effort requirements, and necessary documentation. Generative artificial intelligence (AI) combined with AWS deployment tools and…

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