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This post was written with Bharath Suresh and Mary Law from Snowflake. Agentic AI is a type of AI that functions autonomously, automating a broader range of tasks with minimal supervision. It combines traditional AI and generative AI capabilities to make decisions, perform tasks, and adapt to its environment without constant human intervention. These autonomous …

Build an agentic solution with Amazon Nova, Snowflake, and LangGraph Read More »

Optimizing generative AI applications relies on tailoring foundation models (FMs) using techniques such as prompt engineering, RAG, continued pre-training, and fine-tuning. Efficient fine-tuning is achieved by strategically managing hardware, training time, data volume, and model quality to reduce resource demands and maximize value. Spectrum is a new approach designed to pinpoint the most informative layers …

Using Spectrum fine-tuning to improve FM training efficiency on Amazon SageMaker AI Read More »

From AI education to disaster response, see how collaboration is at the heart of the work at Google Research. ​ 

Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware. Inspired by this, we developed a game for the AWS re:Invent 2024 …

Bringing tic-tac-toe to life with AWS AI services Read More »

Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs). As AI moves towards deployment adopting to a multitude of domains and use cases, the need for security …

HyperPod enhances ML infrastructure with security and storage Read More »

Over the past two years, I’ve worked with many customers using generative AI to transform their organizations. Most stall at experimentation, because costs stack up and timelines extend before delivering demonstrable value. A 2023 AWS MIT Chief Data Officer (CDO) Symposium survey backs this up, reporting that while 71% of Chief Data Officers were experimenting …

Accelerating generative AI applications with a platform engineering approach Read More »

Learn more about Gemini 3 and how it’s upgrading Google Search and AI Mode. ​ 

Today we’re releasing Gemini 3 – our most intelligent model that helps you bring any idea to life. ​ 

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 it a reality. Launched in October …

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

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 where intelligent agents work alongside expert …

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