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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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Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases

We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds native support for video and audio content, on top of text and images. With it you can build Retrieval Augmented Generation (RAG) applications that can search and retrieve information across text, images, audio, and video—all …

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Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale

Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale

Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global …

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How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock

How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock

This post is co-written by Fan Zhang, Sr Principal Engineer / Architect from Palo Alto Networks. Palo Alto Networks’ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. The primary challenge they faced was that reactively processing over 200 …

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