AIOps: Integrating AIOps and ITIL 4: End-to-end IT Ops

Presented by

Nick Hansell, Solution Engineering Manager, Cherwell Software & Dominic Wellington, Director of Strategic Architecture, Moogs

About this talk

The explosion in the volume of operational data requires a new approach to IT Operations, enabled by new machine-learning capabilities: AIOps — Artificial Intelligence for IT Operations. Algorithmic analysis of events and alerts can help IT professionals from different teams and backgrounds to swarm together in virtual teams, specific to each particular incident. By collaborating and sharing information and insights, these virtual teams can solve issues and problems much faster than traditional “waterfall” sequential processes can. These new processes help organizations ensure continuous assurance of their critical business services.
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Moogsoft develops AIOps technology that helps enterprise IT Ops and DevOps teams become faster, smarter and more effective. Moogsoft AIOps’ real-time machine learning algorithms help teams remediate issues that impact their customers’ experience by: • Reducing operational noise (alert fatigue) across your production stack • Proactively detecting Incidents and correlating Events across your monitoring ecosystem • Streamlining collaboration and workflow across teams and toolsets • Codifying knowledge to make operators smarter when encountering future Incidents