Azure Machine Learning

By harnessing the might of PostgreSQL in the cloud—with all the scalability and convenience you expect—comes Microsoft Azure Database for PostgreSQL.

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.

At NVIDIA GTC, Microsoft and NVIDIA are announcing new offerings across a breadth of solution areas from leading AI infrastructure to new platform integrations, and industry breakthroughs.

Today, we are announcing a multi-year partnership between Microsoft and Mistral AI. We are fueled by a steadfast dedication to innovation and practical applications, bridging the gap between pioneering research and real-world solutions.

Join Microsoft at the NVIDIA GTC AI Conference March 18–21 at booth #1108 in San Jose, CA (or virtually) to discover how these cutting-edge Azure AI services and supercomputing infrastructure in the cloud can help power your AI transformation.

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.

This month, I’m pleased to expand this blog’s scope and bring in what’s new for digital applications for a holistic look at everything we’re delivering to help customers modernize their data estate, build intelligent applications, and apply AI technologies to help achieve their business goals.

We are excited to announce that Microsoft Azure is recognized as a leader in the inaugural IDC MarketScape for AI Governance Platforms. IDC looked at AI governance platforms that ensure AI and machine learning lifecycle governance, collaborative risk management, and regulatory excellence for AI.

We’re dedicated to documenting and sharing our learnings and best practices with the developer community so they can make responsible AI implementation practical for their organizations.

The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.

As a leader in all things AI, Microsoft has spearheaded a curriculum created especially for you and your colleagues to help you build the knowledge, insights, and skills needed to make the most of AI technologies.