Analytics

Microsoft Azure Maps is a collection of mapping and location APIs that enable enterprises to add location intelligence into their solutions.

Drasi is Microsoft’s new open-source project that simplifies change detection and reaction in complex systems, enhancing real-time event-driven architectures.

Flex Consumption delivers fast and large scale-out features on a serverless model and supports long function execution times, private networking, instance size selection, and concurrency control.

This blog post will show you how to approach and think about pricing throughout your cloud adoption journey.

Today, we are excited to announce a reimagined data governance experience within Microsoft Purview, available in preview April 8, 2024.

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.

Microsoft’s mission is to empower everyone to achieve more, and we know that our customers like using MongoDB to build applications.

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.

By not only making actual planning and observational data more accessible, but also helping companies present insights in a human-centric format with generative AI, Azure Data Manager is helping lead the way into a more sustainable future.

With new developments like Copilot in Microsoft Cost Management and Microsoft Fabric, there couldn’t be a better time to take a fresh look at how you manage cost within your organization and how you can leverage the FinOps Framework and the FinOps Open Cost and

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

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.