Favorite A special thanks goes to the Verizon Connect team who’s been working very hard on the project: Matteo Simoncini, Luca Bravi, Alberto Rossettini, Martin Villarruel, Ceyhun Unlu, Adriel Zuquini, Andrea Benericetti. Fleet managers today face an overwhelming challenge: transforming data overload into actionable insights. When you’re managing thousands of
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Shared by AWS Machine Learning May 28, 2026
Favorite Developing AI agents for business support presents unique challenges that many organizations face when trying to automate routine HR tasks. Works Human Intelligence (WHI) develops, sells, and supports the integrated HR system “COMPANY” for major Japanese corporations and public interest corporations. In this post, we share how the AWS
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Shared by AWS Machine Learning May 28, 2026
Favorite Financial institutions process thousands of documents daily, including tax forms, loan statements, and purchase orders. Each has a unique format, structure, and field names, making it challenging to create automation workflows using optical character recognition (OCR) software. Amazon Bedrock Data Automation (BDA) helps solve these challenges by automating the
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Shared by AWS Machine Learning May 28, 2026
Favorite The Open Source Initiative (OSI), Apereo Foundation, FreeBSD Foundation, and Open Source Technology Improvement Fund (OSTIF) issued the following statement on age attestation requirements for operating systems. Statement_Age_AttestationDownload Click Here to View Original Source (opensource.org)
Favorite In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across roles are using them to reclaim hours of their workweek. From technical execution to strategic judgment Most professional roles carry an unspoken assumption that
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Shared by AWS Machine Learning May 27, 2026
Favorite When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users are satisfied with the answers they receive, and which capabilities are driving the most engagement. Without a centralized observability solution, this
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Shared by AWS Machine Learning May 27, 2026
Favorite Building an AI app shouldn’t require a PhD in machine learning (ML) or months of wrestling with complex architectures. Yet that’s exactly what happens when you try to orchestrate multiple API calls, manage conversation state, and create agents that can reason on their own. I’ve seen straightforward AI ideas
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Shared by AWS Machine Learning May 27, 2026
Favorite AgentWatch delivers ambient AWS resource monitoring for your DevOps team, moving beyond the reactive cycle of managing Amazon CloudWatch alarms across multiple accounts. CloudWatch alarms trigger too late, AWS Lambda errors accumulate unnoticed, and Amazon Elastic Compute Cloud (Amazon EC2) performance degradation goes undetected until customers report problems. This
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Shared by AWS Machine Learning May 27, 2026
Favorite Building high-performance generative AI agents requires architecture that can deliver fast inference, coordinate multiple agents, and operate reliably under production workloads. If you are building generative AI agents to automate reviews, power digital assistants, and support complex decision-making workflows, you need these agents to perform well. They must reduce
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Shared by AWS Machine Learning May 27, 2026
Favorite Generative AI has rapidly evolved from experimental prototypes into systems that are expected to operate reliably in production, at scale, and under real-world performance constraints. As organizations move beyond demos and proofs of concept, they increasingly encounter challenges related to inference latency, scalability, state management, and operational visibility. Building
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Shared by AWS Machine Learning May 27, 2026
Shared by AWS Machine Learning May 28, 2026
