Data can be an IT team's best friend when it comes to testing, delivering code, and more efficiently monitoring services. However, the enormous amounts of data produced by today's applications cannot be processed by humans alone. This makes it possible for an AI engine to continually assess all the visible data right down to the level of code detail, enabling the development team to identify problems, solicit assistance, and quickly resolve them as they arise.

By incorporating AI into your DevOps processes, you can dramatically outperform manual efforts in terms of functionality and automation in the delivery, testing, security, and release cycles as well as continuous monitoring of the operation of deployed software.