Our ability to augment technology with artificial intelligence and machine learning does not seem to have limits. We now have AI-powered analytics, smart Internet of Things, AI at the edge, and of course AIops tools.
At their essence, AIops tools do smart automations. These include self-healing, proactive maintenance, even working with security and governance systems to coordinate actions, such as identifying a performance issue as a breach.
We need to consider discovery as well, or the capability of gathering data ongoing and leveraging that data to train the knowledge engine. This allows the knowledgebases to become savvier. Greater knowledge about how the systems under management behave or are likely to behave creates a better capability of predicting issues and being proactive around fixes and reporting.