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,

Read More
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

Read More
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

Read More
Shared by AWS Machine Learning April 29, 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

Read More
Shared by AWS Machine Learning April 27, 2026

Build and deploy an automatic sync solution for Amazon Bedrock Knowledge Bases

Favorite With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from your organization’s private data sources to deliver more relevant, accurate, and customized responses. As the data grows, maintaining real-time synchronization between Amazon Simple Storage Service (Amazon S3) and your knowledge bases becomes critical

Read More
Shared by AWS Machine Learning April 27, 2026

Automate repetitive tasks with Amazon Quick Flows

Favorite Consider a typical Monday morning: you’re manually copying data from several different systems to create a weekly report, then formatting it for different stakeholders. This single task can consume several hours that could be spent on more strategic work. Multiply this across your team, and these repetitive tasks add

Read More
Shared by AWS Machine Learning April 27, 2026