Online Event – AI in Incident Management: Detect earlier. Diagnose faster. Resolve smarter – Lunch & Learn
AI is already beginning to reshape how IT service teams operate; from automation and diagnostics to knowledge management, incident resolution, and customer experience. The real question for service organisations isn’t whether AI is coming, but whether we’re ready for it.
AI has the potential to significantly improve how organisations detect, manage and resolve incidents — but its success depends on strong incident management practices and well-structured operational data.
In this session, Valerie Wilson will explore how AI can support Incident Management across the lifecycle, from early detection and event correlation through to faster diagnosis and resolution. We’ll look at how capabilities such as anomaly detection, pattern recognition and intelligent triage can help teams identify issues earlier, prioritise incidents more effectively and reduce resolution times.
As part of the session, we will also explore a number of practical use cases, discussing where AI can realistically add value within Incident Management and how organisations are beginning to apply these capabilities in operational environments.
We will also reflect on the foundations required to make this work, including clean operational data, clear service mapping, and well-defined incident processes, helping ITSM professionals understand how to prepare their organisations to take advantage of AI in incident management.
Delivery Platform
This event will be delivered using Microsoft Teams.
PeopleCert ITIL CPD Points
itSMF UK members will automatically earn 1 ‘Community’ ITIL CPD point for attending this event – more details available here.
How much does it cost?
This event is FREE for all itSMF UK members.
If you are not yet an itSMF UK member, you’ll be shown the individual member annual fee once you click on register now – or you can find out more about membership by clicking here.
Please register using the link below and access details will be sent to you 48 hours before the webinar start date.
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