“The pure amount of data given off by thousands of devices running different operating systems, it’s super chaotic,” said Hochmuth. “That’s a perfect use case for an AI tool that could sift through data, help you find information you need, or even more importantly, automate a lot of the manual patching, updating, configuration – the reactionary type things that people in IT ops do. Anticipating when someone might need a fix before something breaks: AI could really help with that.”
Gartner’s Cipolla points to the emergence of autonomous endpoint management (AEM), a term that describes the combination of UEM and DEX, with additional automation and AI-assistance capabilities. “The idea is to take the human out of the middle doing the research and the leg work, and put them in control of the automation,” said Cipolla.
Several UEM vendors have already begun to incorporate AEM-like functionality into their software, said Cipolla. But it’s still early for the technology, meaning it will likely be at least a couple of years before AEM tools become more fully developed and more widely used by organizations. “It’s not a product yet, it’s a future idea, it’s a concept. As the vendors work on their ideas, it becomes a market,” he said.