Amazon Machine Learning

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Set up custom domain names for Amazon Bedrock AgentCore Runtime agents

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning /

When deploying AI agents to Amazon Bedrock AgentCore Runtime (currently in preview), customers often want to use custom domain names to create a professional and seamless experience. By default, AgentCore Runtime agents use endpoints like https://bedrock-agentcore.{region}.amazonaws.com/runtimes/{EncodedAgentARN}/invocations. In this post, we discuss how to transform these endpoints into user-friendly custom domains (like https://agent.yourcompany.com) using Amazon CloudFront […]

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Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI /

Machine learning (ML) has evolved from an experimental phase to becoming an integral part of business operations. Organizations now actively deploy ML models for precise sales forecasting, customer segmentation, and churn prediction. While traditional ML continues to transform business processes, generative AI has emerged as a revolutionary force, introducing powerful and accessible tools that reshape

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How Infosys built a generative AI solution to process oil and gas drilling data with Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Energy (Oil & Gas), Generative AI, Partner solutions /

Enterprises across industries like healthcare, finance, manufacturing, and legal services face escalating challenges in processing vast amounts of multimodal data that combines text, images, charts, and complex technical formats. As organizations generate multimodal content at unprecedented speed and scale, document processing methods increasingly fail to handle the intricacies of specialized domains where technical terminology, interconnected

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as

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Bringing agentic Retrieval Augmented Generation to Amazon Q Business

Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI /

Amazon Q Business is a generative AI-powered enterprise assistant that helps organizations unlock value from their data. By connecting to enterprise data sources, employees can use Amazon Q Business to quickly find answers, generate content, and automate tasks—from accessing HR policies to streamlining IT support workflows, all while respecting existing permissions and providing clear citations.

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Citations with Amazon Nova understanding models

Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Intermediate (200) /

Large language models (LLMs) have become increasingly prevalent across both consumer and enterprise applications. However, their tendency to “hallucinate” information and deliver incorrect answers with seeming confidence has created a trust problem. Think of LLMs as you would a human expert: we typically trust experts who can back up their claims with references and walk

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Securely launch and scale your agents and tools on Amazon Bedrock AgentCore Runtime

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence /

Organizations are increasingly excited about the potential of AI agents, but many find themselves stuck in what we call “proof of concept purgatory”—where promising agent prototypes struggle to make the leap to production deployment. In our conversations with customers, we’ve heard consistent challenges that block the path from experimentation to enterprise-grade deployment: “Our developers want

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PwC and AWS Build Responsible AI with Automated Reasoning on Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Customer Solutions, Generative AI /

This is a guest post co-written with Scott Likens, Ambuj Gupta, Adam Hood, Chantal Hudson, Priyanka Mukhopadhyay, Deniz Konak Ozturk, and Kevin Paul from PwC Organizations are deploying generative AI solutions while balancing accuracy, security, and compliance. In this globally competitive environment, scale matters less, speed matters more, and innovation matters most of all, according

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Amazon Bedrock AgentCore Memory: Building context-aware agents

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence /

AI assistants that forget what you told them 5 minutes ago aren’t very helpful. While large language models (LLMs) excel at generating human-like responses, they are fundamentally stateless—they don’t retain information between interactions. This forces developers to build custom memory systems to track conversation history, remember user preferences, and maintain context across sessions, often solving

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Unlocking enhanced legal document review with Lexbe and Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Intermediate (200) /

This post is co-authored with Karsten Weber and Rosary Wang from Lexbe. Legal professionals are frequently tasked with sifting through vast volumes of documents to identify critical evidence for litigation. This process can be time-consuming, prone to human error, and expensive—especially when tight deadlines loom. Lexbe, a leader in legal document review software, confronted these

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