Online Event – AI in Problem Management: Turning operational data into actionable problem insights – 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.
Problem Management has always been about moving beyond individual incidents to understand why issues occur and how to prevent them from happening again. As IT environments become more complex and generate increasing volumes of operational data, AI and modern observability capabilities are creating new opportunities to strengthen this practice.
In this session, Vawns Murphy will explore how AI can support Problem Management by identifying patterns across incidents, events and telemetry data collected through observability platforms. By combining insights from logs, metrics and traces with historical incident data, AI can help teams detect underlying issues earlier and accelerate root cause analysis.
As part of the session, we will explore a number of practical use cases, looking at where AI and observability can add real value in Problem Management and how organisations are beginning to apply these capabilities in practice.
We will also reflect on the foundations required to make this effective, including good incident data, strong observability practices, clear problem management processes and structured knowledge, helping organisations understand how to prepare their service management practices to take advantage of AI.
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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