Enhance video understanding with Amazon Bedrock Data Automation and open-set object detection

Favorite In real-world video and image analysis, businesses often face the challenge of detecting objects that weren’t part of a model’s original training set. This becomes especially difficult in dynamic environments where new, unknown, or user-defined objects frequently appear. For example, media publishers might want to track emerging brands or

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Shared by AWS Machine Learning September 12, 2025

How London Stock Exchange Group is detecting market abuse with their AI-powered Surveillance Guide on Amazon Bedrock

Favorite London Stock Exchange Group (LSEG) is a global provider of financial markets data and infrastructure. It operates the London Stock Exchange and manages international equity, fixed income, and derivative markets. The group also develops capital markets software, offers real-time and reference data products, and provides extensive post-trade services. This

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Shared by AWS Machine Learning September 11, 2025

Oldcastle accelerates document processing with Amazon Bedrock

Favorite This post was written with Avdhesh Paliwal of Oldcastle APG. Oldcastle APG, one of the largest global networks of manufacturers in the architectural products industry, was grappling with an inefficient and labor-intensive process for handling proof of delivery (POD) documents, known as ship tickets. The company was processing 100,000–300,000

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Shared by AWS Machine Learning September 11, 2025

TII Falcon-H1 models now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Favorite This post was co-authored with Jingwei Zuo from TII. We are excited to announce the availability of the Technology Innovation Institute (TII)’s Falcon-H1 models on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now use six instruction-tuned Falcon-H1 models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and

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Shared by AWS Machine Learning September 11, 2025

Powering innovation at scale: How AWS is tackling AI infrastructure challenges

Favorite As generative AI continues to transform how enterprises operate—and develop net new innovations—the infrastructure demands for training and deploying AI models have grown exponentially. Traditional infrastructure approaches are struggling to keep pace with today’s computational requirements, network demands, and resilience needs of modern AI workloads. At AWS, we’re also

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Shared by AWS Machine Learning September 10, 2025