Favorite 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

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Shared by AWS Machine Learning January 24, 2026

Favorite 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

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Shared by AWS Machine Learning January 23, 2026

Favorite 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

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Shared by AWS Machine Learning January 23, 2026

Favorite 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

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Shared by AWS Machine Learning January 22, 2026

Favorite 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,

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Shared by AWS Machine Learning January 22, 2026

Favorite 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.

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Shared by AWS Machine Learning January 22, 2026

Favorite This post was co-written with Naveen Pollamreddi and Seth Krause from Thomson Reuters. 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

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Shared by AWS Machine Learning January 22, 2026

Favorite 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

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Shared by AWS Machine Learning January 21, 2026

Favorite Recently, AWS announced Amazon Bedrock AgentCore, a flexible service that helps developers seamlessly create and manage AI agents across different frameworks and models, whether hosted on Amazon Bedrock or other environments. Specifically, AgentCore Runtime provides a secure, serverless, and purpose-built hosting environment for deploying and running AI agents or

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Shared by AWS Machine Learning January 17, 2026

Favorite The AWS AI League, launched by Amazon Web Services (AWS), expanded its reach to the Association of Southeast Asian Nations (ASEAN) last year, welcoming student participants from Singapore, Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. The goal was to introduce students of all backgrounds and experience levels to the

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Shared by AWS Machine Learning January 17, 2026