MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

Azure DevOps and GitHub are both developer collaboration tools owned by Microsoft. Despite these similarities, the two DevOps tools are far from interchangeable. Developers in need of a software ...

As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But integrating machine ...

Azure DevOps Server is now generally available, marking its transition to a production-ready on-premises offering for teams that need to self-host their DevOps platform. The GA release packages ...

Microsoft Azure DevOps is software that uses modern agile methodologies and definitions to help track, plan and collaborate. There are five separate services included with Azure DevOps, and each can ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Much has been written about struggles of deploying machine learning ...

It’s time to bridge the technical gaps and cultural divides between DevOps, DevSecOps, and MLOps teams and provide a more unified approach to building trusted software. Call it EveryOps. There are ...