Managing infrastructure is a complex problem with a massive amount of signals and many actions that can be taken in response; that\u2019s the classic definition of a situation where machine learning can help.<\/p>\n
IT and operations is a natural home for machine learning and data science. According to Vivek Bhalla<\/a>, until recently a Gartner research director covering AIOps and now director of product management at Moogsoft<\/a>, if there isn\u2019t a data science team in your organization the IT team will often become the \u201ccenter of excellence\u201d.<\/p>\n By 2022, Gartner predicts, 40 percent of all large enterprises will use machine learning to support or even partly replace monitoring, service desk and automation processes. That\u2019s just starting to happen in smaller numbers.<\/p>\n In a recent Gartner survey, the most popular use of AI in IT and operations is analyzing big data (18 percent) and chatbots for IT service management \u2014 15 percent are already using chatbots and a further 30 percent plan to do so by the end of 2019.<\/p>\n Read more at The New Stack<\/a><\/p>\n