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It means that challenges are resolved quickly, accurately, and with far less effort than before, also when the IT team is busy with other tasks. The greatest strength of AIOps lies in its ability to automatically detect, analyze, and even fix IT issues in real-time.

How Machine Learning is Serving the DevOps Ecosystem The process is widely called as Artificial Intelligence for IT Operations or AIOps. The process can be done with the help of analytics and machine learning to investigate large amounts of data from operational tools. Above all, ML is not about dangerous robots (à la Terminator), but about sophisticated technology platforms that automate and improve IT operations. Although it is often portrayed as a threat to the public, it offers companies an excellent opportunity to improve their productivity and security.

The solution to many of the associated DevOps challenges lies in a different kind of digital transformation - based on machine learning and artificial intelligence (AI). Frequently, IT operations cannot keep up with this pace, and digitization will fail in the long term. The speed of updates and customizations using DevOps measure is measured in days rather than months or years. However, according to a study by Appian last year, 91 percent of respondents believe they need to fix problems rather quickly than thoroughly, as they need to focus on updating their business operations.

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