Azure OpenAI

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.

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.

Copilot—powered by Microsoft Azure OpenAI Service—allows you to simplify how you design, operate, optimize, and troubleshoot apps and infrastructure from cloud to edge.

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.

Companies around the world are using AI to understand potential threats, make informed decisions, and take actions to avoid or reduce risk.

Although there is much excitement for copilot pattern-based solutions, it’s important for businesses to carefully consider the design elements to guarantee a durable, ever-evolving, and effective approach. How can you ensure your solution does not just capture attention, but also enhances customer engagement?

Welcome to Microsoft Ignite 2023! The past year has been one of true transformation.

Customers need reliable and performant infrastructure to bring the most sophisticated AI use cases to market in record time. Our objective is to build state-of-the-art infrastructure and meet these demands. The latest MLPerf™ 3.

With these announcements from OpenAI DevDay, developers and enterprises are now poised to explore new horizons, empowered by the combined strengths of Microsoft and OpenAI, and the limitless possibilities of generative AI.

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.

The series will examine what makes Generative AI so unique and how it can meet current business challenges, as well as how it drives new forms of collaboration between teams working to build the next generation of apps and services.