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

Agentic AI with multi-model framework using Hugging Face smolagents on AWS

Favorite This post is cowritten by Jeff Boudier, Simon Pagezy, and Florent Gbelidji from Hugging Face. Agentic AI systems represent an evolution from conversational AI to autonomous agents capable of complex reasoning, tool usage, and code execution. Enterprise applications benefit from strategic deployment approaches tailored to specific needs. These needs include managed

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Shared by AWS Machine Learning February 24, 2026

Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

Favorite Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information

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Shared by AWS Machine Learning March 17, 2025

How Rocket Companies modernized their data science solution on AWS

Favorite This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework

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Shared by AWS Machine Learning February 21, 2025

How Aetion is using generative AI and Amazon Bedrock to translate scientific intent to results

Favorite This post is co-written with Javier Beltrán, Ornela Xhelili, and Prasidh Chhabri from Aetion.  For decision-makers in healthcare, it is critical to gain a comprehensive understanding of patient journeys and health outcomes over time. Scientists, epidemiologists, and biostatisticians implement a vast range of queries to capture complex, clinically relevant

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Shared by AWS Machine Learning February 7, 2025

How Aetion is using generative AI and Amazon Bedrock to unlock hidden insights about patient populations

Favorite The real-world data collected and derived from patient journeys offers a wealth of insights into patient characteristics and outcomes and the effectiveness and safety of medical innovations. Researchers ask questions about patient populations in the form of structured queries; however, without the right choice of structured query and deep

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Shared by AWS Machine Learning January 31, 2025