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Building AI-ready data: Vanguard’s Virtual Analyst journey

Favorite Vanguard is a global investment management firm, offering a broad selection of investments, advice, retirement services, and insights to individual investors, institutions, and financial professionals. We operate under a unique, investor-owned structure and adhere to a straightforward purpose: To take a stand for all investors, to treat them fairly,

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Shared by AWS Machine Learning April 29, 2026

Organizing Agents’ memory at scale: Namespace design patterns in AgentCore Memory

Favorite When building AI agents, developers struggle with organizing memory across sessions, which leads to irrelevant context retrieval and security vulnerabilities. AI agents that remember context across sessions need more than only storage. They need organized, retrievable, and secure memory. In Amazon Bedrock AgentCore Memory, namespaces determine how long-term memory

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Shared by AWS Machine Learning April 29, 2026

Extracting contract insights with PwC’s AI-driven annotation on AWS

Favorite This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms

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Shared by AWS Machine Learning April 29, 2026

The 2026 State of Open Source Report

Favorite Open source software has long been viewed as a tactical decision — something engineering teams adopted to move faster or reduce licensing costs. But the data from the 2026 State of Open Source Report by Perforce OpenLogic (produced in collaboration with OSI and the Eclipse Foundation) suggests that the

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Shared by voicesofopensource April 28, 2026

Build Strands Agents with SageMaker AI models and MLflow

Favorite Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these

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Shared by AWS Machine Learning April 27, 2026