AI + machine learning

An AI Center of Excellence helps align business strategy, people, and technology decisions around AI.

We’re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.

Defend your AI systems with Prompt Shields—a unified API that analyzes inputs to your LLM-based solution to guard against direct and indirect threats.

We’ve pulled together the top 25 announcements at Microsoft Build 2025 across the Azure business—spanning Azure AI Foundry, Azure infrastructure, Azure app platform, Azure databases and Microsoft Fabric, and our GitHub family.

This year, at Microsoft Build, we introduced new AI tools and capabilities designed to empower every software developer to become an AI developer.

This week at SAP Sapphire 2025 we are excited to share several new announcements and key strategic updates from Microsoft and SAP for our joint customers.

To help these AI agents become even more powerful and handle more complex tasks, they need state-of-the-art models, integrated tools, and built-in governance. At Microsoft Build 2025, we’re unveiling 10 innovations in Azure AI Foundry to make this possible.

In this blog, I’ll cover the latest slate of announcements across Microsoft Fabric and the entire Azure Data portfolio, designed to empower every developer on the planet to do more with data.

We have architected Microsoft Discovery to be highly extensible, enabling researchers to integrate the latest Microsoft innovations with their own models, tools, and datasets as well as a wide range of partner and open-source solutions.

Today, we’re excited to announce two major enhancements to model fine-tuning in Azure AI Foundry—Reinforcement Fine-Tuning (RFT) with o4-mini, coming soon, and Supervised Fine-Tuning (SFT) for the 4.1-nano model, available now.

Explore the infrastructure and datacenter design that powers over 60 datacenter regions and 300+ datacenters globally with Microsoft’s Virtual Datacenter Tour.

Agent2Agent can enable structured agent communication—exchanging goals, managing state, invoking actions, and returning results securely and observably. Developers can use tools they know, like Semantic Kernel or LangChain, and still interoperate.