AIOps is the evolution from manual IT Operations Management (ITOM) where Machine Learning supplements and compliments staff capabilities. AIOps helps organizations make sense of the terabytes of metrics and log data that is being collected.

AIOps refers to multi-layered technology platforms that automate and enhance IT operations by using analytics and machine learning to analyze big data collected from various IT operations tools and devices, in order to automatically spot and react to issues in real time.

Gartner

AIOps is not a new idea... we've had it all along, it just didn't work that well.

Humans simply cannot dive deep enough into the data to make sense of it quickly. Big Data is more prevalent now than ever before, Machine Learning of the data enables your organization to move faster. AIOps assists in moving common burdensome tasks to automation

By learning about related data – whether metrics, tickets, events, etc – the AI engines can suggest new thresholds for monitoring, tasks that can be automated or event relationships. AIOps will help predict failures based on historical patterns.

Artificial Intelligence guides in scenarios like the one below where we had so many metrics, that we could not manually correlate.

Don’t be afraid to step out of your comfort zone, drop the old way of doing things and let the software do the heavy lifting.

Let the data come in, AI needs data to learn. Log Data, Metrics, Events and Ticket data is essential for automation.

Embrace the paradigm shift. Don’t focus on reports that look at metrics, look at the service and end-user experiences. Let the AI show you where the problem is.