How AI and ML Technologies Drive Transformation in DevOps
Enterprise DevOps has brought radical changes in conventional workflows. Both AI and ML technologies play a vital role in enabling DevOps to change the corporate world and streamline processes. A Gartner report has revealed that 40% of DevOps teams will use infrastructure apps that have integrated AI for IT operations platforms by the year 2023.
Today, we will discuss the role of AI and ML in DevOps, along with some implementation challenges. Before moving ahead, let’s understand the concepts of AI, ML, and DevOps and their synchronization in various processes.
AI, ML, and DevOps: How They Work Together
Simply put, artificial intelligence (AI) is an umbrella term for software that mimics human cognition to perform complex tasks. Machine Learning, or ML, is a branch of AI that uses data-based algorithms to produce adaptable models. In other words, ML is about learning the way of performing complex and interrelated tasks like the way humans do.