GenAI News

Build trustworthy AI agents with Amazon Bedrock AgentCore Observability

AI agents are transforming enterprise applications across industries, from customer service to complex decision workflows. As organizations scale these deployments, they face a fundamental question: how can you improve trust in an AI application? The challenge is transparency. AI...

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

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...

Oldcastle accelerates document processing with Amazon Bedrock

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,...

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

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...

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

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...

Accelerate your model training with managed tiered checkpointing on Amazon SageMaker HyperPod

As organizations scale their AI infrastructure to support trillion-parameter models, they face a difficult trade-off: reduced training time with lower cost or faster training time with a higher cost. When they checkpoint frequently to speed up recovery time and...
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