IT systems are only getting more complex, with greater pressures to solve issues faster and demonstrate value consistently. Issues within systems, which dev teams could once handle all on their own, sprout up too fast and too often for direct human intervention. Artificial intelligence for IT Operations (AIOps) tools exist today to deliver automated monitoring and solution development, “no humans required” — significantly easing dev teams’ many burdens.
Adopting AIOps should be simple enough, then. But one of the tougher sticking points has been trust. Can humans trust a machine to identify root causes of issues and create accurate and effective solutions? The stakes are high — if a machine gets it wrong, the burden on human teams compounds quickly.