With Microsoft Azure Maps, organizations worldwide are using location data to create similar applications and experiences for mobile and web to gain unique insights, solve critical challenges, and improve their businesses.
If your organization aspires to harness the power of AI to enhance customer experiences and drive growth, cloud migration far outpaces on-premises alternatives.
We get it—you have a mountain of online learning resources available at your fingertips, and with that information overload you can find yourself lost in a maze of unorganized materials.
Microsoft Build is more than just a tech conference—it’s a celebration of innovation, a catalyst for growth, and a gateway to unlocking your professional potential through skilling opportunities on Microsoft Learn.
One of these technologies that was highlighted at Microsoft Ignite this past November was Hollow Core Fiber, an innovative optical fiber that is set to optimize the Microsoft Azure global cloud infrastructure, offering superior network quality and secure data transmission.
In a recent study, Microsoft surveyed over 2,000 IT professionals across ten countries on their tech readiness for and adoption of AI as well as their concerns and challenges along the way.
In this blog, we’ll not only reveal the wealth of learning resources we offer to get skilled on Azure Cosmos DB, but how by doing so you can take home part of a $10,000 prize in our Microsoft Developers AI Learning Hackathon.
81% of organizations believe AI will give them a competitive edge. Applications are where AI comes to life. Intelligent applications, powered by AI and machine learning (ML) algorithms are pivotal to enhancing performance and stimulating growth.
Excited to explore this industrious spirit and a cloud culture closer to home, we ventured to the Northeastern and Midwestern states—the famed Rust Belt—to learn how entrepreneurial adaptability is energizing both people and businesses in the area.
RAN slicing is one of the important new features of 5G networks and Microsoft has researched and produced results, making it easier for operators to use in Azure.
