Actioning agentic AI: 5 ways to build with news from Microsoft Ignite 2025
Energy at Microsoft Ignite was electric. Over 20,000 attendees gathered in San Francisco, with 200,000 digital participants joining us to explore the future of cloud and AI.
Energy at Microsoft Ignite was electric. Over 20,000 attendees gathered in San Francisco, with 200,000 digital participants joining us to explore the future of cloud and AI.
Azure Accelerate is a simplified offering designed to fuel transformation with experts and investments across the cloud and AI journey.
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.
News and advancements from Microsoft Ignite to showcase our commitment to your success in this dynamic era. Let’s get started.
Announcing new features designed to further enhance data privacy and security capabilities for customers building and scaling with Azure OpenAI.
From enhancing productivity and creativity to revolutionizing customer interactions with custom copilots, our customers demonstrate the transformative power of generative AI and truly, brought Build 2024 to life. So, how’d they do it?
We are excited to announce that Microsoft has been named a Leader for the fifth year in a row in the Gartner® Magic Quadrant™ for Cloud AI Developer Services.
Sharing insights on technology transformation along with important updates and resources about the data, AI, and digital application solutions that make Microsoft Azure the platform for the era of AI.
We are highlighting four companies who have strategically adopted Azure OpenAI Service to create more dynamic, efficient, and personalized communication methods for customers and employees alike.
Today, we are announcing that Azure AI Search, a modern retrieval system for AI applications, now has drastically larger vector capacity and compute without any increase in price, so customers can run RAG at any scale, at a lower cost.
We are now in the second year of the era of AI.
In our LLMOps blog series, we’ve explored various dimensions of Large Language Models (LLMs) and their responsible use in AI operations. Elevating our discussion, we now introduce the LLMOps maturity model, a vital compass for business leaders.