IT implementors

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

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.

Microsoft “30 Days to Learn It” challenges are dynamic and immersive learning experiences designed to empower individuals with the skills and knowledge needed to excel in their chosen tech career path.

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?

In this blog post, we will discuss some of the design principles and characteristics that we see among the customer leaders we work with closely to enhance their critical workload availability according to their specific business needs.

In Microsoft Azure, we are continually innovating to enhance security, such as our collaboration with our hardware partners to create a new foundation based on silicon, that enables new levels of data protection through memory encryption using Confidential Computing.

In this era of accelerating change and AI-driven industry transformation, companies are increasingly turning to the cloud for all aspects of their business.

The need for a unified platform and system to address these challenges is evident. We believe Azure is the platform that can help, and we have been investing in Azure Arc to solve these problems.

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

With Azure, you can trust that you are on a secure and well-managed foundation to utilize the latest advancements in AI and cloud-native services.

With Azure Data Manager for Agriculture, organizations can leverage high-quality datasets for digital agriculture solutions, allowing customers and partners to focus on product innovation rather than data management.

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.