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Oldcastle accelerates document processing with Amazon Bedrock

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, known as ship tickets. The company was processing 100,000–300,000 ship tickets per month across more …

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

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 and reference data products, and provides extensive post-trade services. This post was co-authored with Charles Kellaway …

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Build trustworthy AI agents with Amazon Bedrock AgentCore Observability

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 agents can make decisions on behalf of users, invoke tools dynamically, and follow reasoning paths that …

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

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 resilience needs of modern AI workloads. At AWS, we’re also seeing a transformation across the technology …

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

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 minimize lost training time, they incur in substantially higher storage cost. And when they checkpoint infrequently, …

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Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation

Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation

We are excited to announce the general availability of fine-grained compute and memory quota allocation with HyperPod task governance. With this capability, customers can optimize Amazon SageMaker HyperPod cluster utilization on Amazon Elastic Kubernetes Service (Amazon EKS), distribute fair usage, and support efficient resource allocation across different teams or projects. For more information, see HyperPod task governance best …

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Build and scale adoption of AI agents for education with Strands Agents, Amazon Bedrock AgentCore, and LibreChat

Build and scale adoption of AI agents for education with Strands Agents, Amazon Bedrock AgentCore, and LibreChat

Basic AI chat isn’t enough for most business applications. Institutions need AI that can pull from their databases, integrate with their existing tools, handle multi-step processes, and make decisions independently. This post demonstrates how to quickly build sophisticated AI agents using Strands Agents, scale them reliably with Amazon Bedrock AgentCore, and make them accessible through …

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Skai uses Amazon Bedrock Agents to significantly improve customer insights by revolutionized data access and analysis

Skai uses Amazon Bedrock Agents to significantly improve customer insights by revolutionized data access and analysis

This post was written with Lior Heber and Yarden Ron of Skai. Skai (formerly Kenshoo) is an AI-driven omnichannel advertising and analytics platform designed for brands and agencies to plan, launch, optimize, and measure paid media across search, social, retail media marketplaces and other “walled-garden” channels from a single interface. By unifying data from over …

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