AI + machine learning

Azure is designed to unify operations, streamline application development, and consolidate data management across distributed infrastructures.

I sat down with Teresa Tung to learn more about the changing nature of data and its value to an AI strategy.

As organizations embrace AI transformation, they are searching for next-generation applications that deliver real business value. McKinsey estimates that 67% of organizations will invest more in AI over the next three years.

Summarizing new capabilities this month across Azure AI portfolio that provide greater choices and flexibility to build and scale AI solutions.

This blog will walk you through how to design a modernization approach that unites strategy, processes, and technology.

This blog explores the benefits of modernizing and building intelligent apps through real-world examples, demonstrating how organizations have boosted speed and efficiency using Microsoft Azure’s comprehensive suite of tools and services.

With the new enhancements to Azure OpenAI Service Provisioned offering, we are taking a big step forward in making AI accessible and enterprise-ready.

We are honored to again be recognized by Gartner® as a Leader in the 2024 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services.

Imagine a future where every student has a personalized learning path, where faculty can focus on teaching instead of administrative tasks, and where academic research accelerates breakthrough discoveries. This is not a distant vision—generative AI is making it possible today.

Microsoft drives innovation and contributes to the broader AI and datacenter community, benefitting the entire industry.

I’ll cover what modernization really means, why it matters for your business, and how to think about modernization as your path to AI value.

Existing language models have revolutionized how we interact and use powerful AI models for text-based use cases in healthcare. But the practice of modern medicine is chiefly multimodal.