In a special guest feature for insideBIGDATA, Cloudticity’s Gerry Miller explains AIOps, which Gartner defines as a process that “combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.”
Gerry’s essay details the basic operating model for AIOps (Observe-Engage-Act). He also explains how reputable managed service providers implement AIOps, and how it can support continuous security and compliance — which are particularly important for healthcare organizations:
“Artificial intelligence (AI) is particularly attractive in cloud-powered managed services for IT because it’s so adept at finding patterns hidden in mountains of data: Spotting one server out of hundreds that hits 95% utilization at 3am every weekday night (but not on the weekends). Identifying weirdly inconsistent traffic patterns involving a suspicious IP address. Flagging applications trying to access information that makes no sense, such as an accounting package trying to download binaries from a development server. Such massive data processing and pattern identification prowess feed automation processes that are enormously helpful to humans in IT struggling to optimize workflow, prevent service outages, and maintain security.”