Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise.

Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights.

But ML successes in IT Ops are still hit-or-miss.

IT leaders justifiably question the amount of time required to deploy ML solutions and the dependability of the results. And because machine learning has a ‘black box’ reputation, IT teams don’t trust the solutions.

So what options do they have?