Accelerate enterprise solutions with agentic AI-powered consulting: Introducing AWS Professional Service Agents

Favorite AWS Professional Services set out to help organizations accelerate their cloud adoption with expert guidance and proven methodologies. Today, we’re at a pivotal moment in consulting. Just as cloud computing transformed how enterprises build technology, agentic AI is transforming how consulting services deliver value. We believe in a future

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Shared by AWS Machine Learning November 17, 2025

Your complete guide to Amazon Quick Suite at AWS re:Invent 2025

Favorite What if you could answer complex business questions in minutes instead of weeks, automate workflows without writing code, and empower every employee with enterprise AI—all while maintaining security and governance? That’s the power of Amazon Quick Suite, and at AWS re:Invent 2025, we are showcasing how organizations are making

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Shared by AWS Machine Learning November 17, 2025

Harnessing the power of generative AI: Druva’s multi-agent copilot for streamlined data protection

Favorite This post is co-written with David Gildea and Tom Nijs from Druva. Generative AI is transforming the way businesses interact with their customers and revolutionizing conversational interfaces for complex IT operations. Druva, a leading provider of data security solutions, is at the forefront of this transformation. In collaboration with

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Shared by AWS Machine Learning November 14, 2025

Make your web apps hands-free with Amazon Nova Sonic

Favorite Graphical user interfaces have carried the torch for decades, but today’s users increasingly expect to talk to their applications. Amazon Nova Sonic is a state-of-the-art foundation model from Amazon Bedrock, that helps enable this shift by providing natural, low-latency, bidirectional speech conversations over a simple streaming API. Users can

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Shared by AWS Machine Learning November 14, 2025

Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway

Favorite This post is co-authored with the Biomni group from Stanford. Biomedical researchers spend approximately 90% of their time manually processing massive volumes of scattered information. This is evidenced by Genentech’s challenge of processing 38 million biomedical publications in PubMed, public repositories like the Human Protein Atlas, and their internal

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Shared by AWS Machine Learning November 14, 2025