Benefit from the @Microsoft seamless hybrid approach to cloud adoption when you choose #Azure, the tool designed and built to natively support hybrid environments from its inception. Learn more about Azure's unique features with this infographic:

Share Post:

Share on facebook
Share on twitter
Share on linkedin
Share on email

Microsoft is committed to enabling a seamless hybrid approach to cloud adoption. Azure was designed and built to natively support hybrid environments from its inception. This infographic introduces more about the hybrid value you can benefit from when you choose Azure.

View: Built-in Hybrid infographic

Stay Informed

More Insights

How four nonprofits accelerated their missions through the cloud

Nearly forty percent of nonprofits use customer relationship management (CRM) software to track donations and manage communication with supporters and donors. #Microsoft #Azure offers this and hundreds of other cloud services to meet the needs of organizations. This e-book includes stories of how moving to Azure has helped four nonprofits achieve their goals.

Improve observability, strengthen security, and proactively remediate vulnerabilities

There are DevOps tools for every phase of the app lifecycle. Use Azure to implement DevOps practices throughout application planning, development, delivery, and operations. By applying the right combination of DevOps technologies, culture, and processes, you can achieve continual software delivery and offer better value for your customers.

Sign up to stay connected. We’ll help you learn more about using Azure DevOps with GitHub and Visual Studio from Microsoft.

Dow uses vision AI at the edge to boost employee safety and security with Azure

Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction.

Best of all, this model can be leveraged for other applications, such as detecting when employees aren’t wearing proper PPE in industrial locations, and security monitoring.