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Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates consistent, secure, and scalable infrastructure that autonomous AI systems require. It minimizes manual configuration errors through automated resource management and declarative templates, reducing deployment time from …

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How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock

How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock

The Amazon.com Catalog is the foundation of every customer’s shopping experience—the definitive source of product information with attributes that power search, recommendations, and discovery. When a seller lists a new product, the catalog system must extract structured attributes—dimensions, materials, compatibility, and technical specifications—while generating content such as titles that match how customers search. A title …

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How PDI built an enterprise-grade RAG system for AI applications with AWS

How PDI built an enterprise-grade RAG system for AI applications with AWS

PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe increase efficiency and profitability by securely connecting their data and operations. With 40 years of experience, PDI Technologies assists customers in all aspects of their business, from understanding consumer behavior to simplifying technology ecosystems across …

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How CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents

How CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents

CLICKFORCE is one of leaders in digital advertising services in Taiwan, specializing in data-driven advertising and conversion (D4A – Data for Advertising & Action). With a mission to deliver industry-leading, trend-aligned, and innovative marketing solutions, CLICKFORCE helps brands, agencies, and media partners make smarter advertising decisions. However, as the advertising industry rapidly evolves, traditional analysis methods …

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How Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore

How Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore

Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media sectors in a fast-evolving world. AI plays a critical role at TR. It’s embedded in how it helps create, …

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Build agents to learn from experiences using Amazon Bedrock AgentCore episodic memory

Build agents to learn from experiences using Amazon Bedrock AgentCore episodic memory

Today, most agents operate only on what’s visible in the current interaction: they can access facts and knowledge, but they can’t remember how they solved similar problems before or why certain approaches worked or failed. This creates a significant gap in their ability to learn and improve over time. Amazon Bedrock AgentCore episodic memory addresses …

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How bunq handles 97% of support with Amazon Bedrock

How bunq handles 97% of support with Amazon Bedrock

This post was co-authored with Benjamin Kleppe, Machine Learning Engineering Lead at bunq. The integration of agentic AI is transforming the banking industry, marking a significant shift from traditional customer service systems. Agentic AI demonstrates autonomous decision-making capabilities in complex financial environments, enabling banks to provide round-the-clock multilingual support, process transactions, and deliver personalized financial …

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Using Strands Agents to create a multi-agent solution with Meta’s Llama 4 and Amazon Bedrock

Using Strands Agents to create a multi-agent solution with Meta’s Llama 4 and Amazon Bedrock

Multi-agent solutions, in which networks of agents collaborate, coordinate, and reason together, are changing how we approach real-world challenges. Enterprises manage environments with multiple data sources, changing goals, and various constraints. This is where multi-agent architectures shine. By empowering multiple agents that each have specialized tools, memory, or perspectives to interact and reason as a …

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