Moogsoft’s next-generation AIOps platform analyzes millions of events daily across the most complex IT environments and generates insights that help Ops teams operate more efficiently. Usually, AI systems are fed enterprise operational data before they begin their analyses. This is not necessary in the case of Moogsoft AIOps, which integrates tightly with existing monitoring and IT management systems and accepts data from disparate sources across the enterprise. This data is then processed using real-time AI and ML solutions to deliver an agile and proactive event resolution workflow for IT incident management and full stack visibility. Moogsoft’s ability to triage vast amounts of data and correlate complex events allow it to escalate those conditions that could cause an outage or affect SLAs. This solution also gives users the ability to detect mean time to detection (MTTD), mean time to know (MTTK), and mean time to resolution (MTTR) earlier through its unique capabilities that reach beyond traditional correlation and noise reduction. These capabilities include a collaborative workflow, a ‘Situation Room’ for agile incident investigation and resolution, knowledge capture and re-use, and Probable Root Cause via a neural net approach.