Modernize fraud prevention: GraphStorm v0.5 for real-time inference

Favorite Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the previous year according to the Federal Trade Commission. This surge stems not from more frequent attacks, but from fraudsters’ increasing sophistication. As fraudulent activities become more complex and interconnected,

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Shared by AWS Machine Learning October 1, 2025

Build multi-agent site reliability engineering assistants with Amazon Bedrock AgentCore

Favorite Site reliability engineers (SREs) face an increasingly complex challenge in modern distributed systems. During production incidents, they must rapidly correlate data from multiple sources—logs, metrics, Kubernetes events, and operational runbooks—to identify root causes and implement solutions. Traditional monitoring tools provide raw data but lack the intelligence to synthesize information

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Shared by AWS Machine Learning September 27, 2025

Building health care agents using Amazon Bedrock AgentCore

Favorite This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer. The integration of agentic AI is ushering in a transformative era in health care, marking a significant departure from traditional AI systems. Agentic AI demonstrates autonomous decision-making capabilities and adaptive learning in complex medical environments, enabling

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Shared by AWS Machine Learning September 27, 2025

Accelerate benefits claims processing with Amazon Bedrock Data Automation

Favorite In the benefits administration industry, claims processing is a vital operational pillar that makes sure employees and beneficiaries receive timely benefits, such as health, dental, or disability payments, while controlling costs and adhering to regulations like HIPAA and ERISA. Businesses aim to optimize the workflow—covering claim submission, validation, adjudication,

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Shared by AWS Machine Learning September 26, 2025

How PropHero built an intelligent property investment advisor with continuous evaluation using Amazon Bedrock

Favorite This post was written with Lucas Dahan, Dil Dolkun, and Mathew Ng from PropHero. PropHero is a leading property wealth management service that democratizes access to intelligent property investment advice through big data, AI, and machine learning (ML). For the Spanish and Australian consumer base, PropHero needed an AI-powered

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Shared by AWS Machine Learning September 26, 2025

DoWhile loops now supported in Amazon Bedrock Flows

Favorite Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows. With this powerful new capability, you can create iterative, condition-based workflows directly within your Amazon Bedrock flows, using Prompt nodes, AWS Lambda functions, Amazon Bedrock Agents, Amazon Bedrock Flows inline code, Amazon Bedrock Knowledge Bases,

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Shared by AWS Machine Learning September 26, 2025

Integrate tokenization with Amazon Bedrock Guardrails for secure data handling

Favorite This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges around protecting personally identifiable information

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Shared by AWS Machine Learning September 24, 2025

Running deep research AI agents on Amazon Bedrock AgentCore

Favorite AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is

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Shared by AWS Machine Learning September 24, 2025

Rapid ML experimentation for enterprises with Amazon SageMaker AI and Comet

Favorite This post was written with Sarah Ostermeier from Comet. As enterprise organizations scale their machine learning (ML) initiatives from proof of concept to production, the complexity of managing experiments, tracking model lineage, and managing reproducibility grows exponentially. This is primarily because data scientists and ML engineers constantly explore different

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Shared by AWS Machine Learning September 23, 2025

Move your AI agents from proof of concept to production with Amazon Bedrock AgentCore

Favorite Building an AI agent that can handle a real-life use case in production is a complex undertaking. Although creating a proof of concept demonstrates the potential, moving to production requires addressing scalability, security, observability, and operational concerns that don’t surface in development environments. This post explores how Amazon Bedrock AgentCore

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Shared by AWS Machine Learning September 20, 2025