The cloud has surged to the center of the recent digital transformation efforts, by quickly creating new solutions securely and reliably, meeting new business challenges, and driving transformation with continuous technological innovation.
As the technology requirements of your business or practice grow and change over time, deploying business-critical applications can increase complexity and overhead substantially.
As you move through assessments and plan your migration, it is critical to get buy in from your CFO and other financial stakeholders—even more so in today’s challenging macro-climate.
As the world adjusts to new ways of working and staying connected, we remain committed to providing Azure AI solutions to help organizations invent with purpose.
Organizations around the world are gearing up for a future powered by artificial intelligence (AI). From supply chain systems to genomics, and from predictive maintenance to autonomous systems, every aspect of the transformation is making use of AI.
In part one of our two-part series, we will peek behind the Azure.com web page to show you how we think about running a major brand website on a global scale.
According to LinkedIn’s Emerging Jobs Report for 2020, AI specialist roles are most sought after with a 74 percent annual growth rate in hiring over the last four years.
We know that many of our customers are facing difficult decisions about how to meet their funding needs for critical IT projects.
Eight ways in which Azure infrastructure can help you improve cash flow, achieve cost savings, increase operational efficiencies, and unify security and management.
Live Video Analytics (LVA) provides a platform for you to build hybrid applications with video analytics capabilities. LVA offers the capability of capturing, recording, and analyzing live video and publishing the results to Azure services in the cloud and/or the edge.
At Microsoft Build 2020, we announced several advances to Azure Machine Learning across the several areas including, ML for all skills, enterprise-grade MLOps, and responsible ML.
Our customers are finding innovative ways to deliver crisis management solutions, drive cost-savings, redefine customer engagement, and accelerate decision-making.
