How to Get Started With AIOps
How IT operations can use artificial intelligence to monitor data and reduce outage times.
Last year, Australia’s two largest supermarket chains suffered nationwide technical issues, forcing the companies to close stores until the issues were fixed. The result: Lost revenue and frustrated customers. The reality is that IT teams are dealing with increasing amounts of data and a variety of tools to monitor that data, which can mean significant delays in identifying and solving issues.
“ The long-term impact of AIOps on IT operations will be transformative”
“IT operations is challenged by the rapid growth in data volumes generated by IT infrastructure and applications that must be captured, analyzed and acted on,” says Padraig Byrne, Senior Director Analyst at Gartner. “Coupled with the reality that IT operations teams often work in disconnected silos, this makes it challenging to ensure that the most urgent incident at any given time is being addressed.” To prevent, identify and resolve high-severity outages and other IT operations problems more quickly, businesses are turning to artificial intelligence (AI) for IT operations (AIOps).
