What aspect of correlation and impact analysis are MOST LIKELY to need an input from the service provider’s members?

A service provider is experimenting with artificial intelligence (AI) capabilities to improve event correlation and impact assessment. The previous monitoring and event management records provide sufficient technical data to ‘tech’ the AI. However, some human input is required.

What aspect of correlation and impact analysis are MOST LIKELY to need an input from the service provider’s members?
A . Impact of events on the system performance
B . Performance and capacity thresholds
C . Impact of events on the service and business context
D . Anomalies that arc not apparent to humans

Answer: C

Explanation:

Artificial Intelligence (AI) can automate event correlation and impact assessment, but human input is still required to assess the business context and the impact on services. While AI can handle technical aspects like system performance and capacity thresholds, understanding how events affect the business and services requires human expertise.

Impact of Events on the Service and Business Context (Answer C – Correct): Human input is crucial for understanding how technical events affect business operations. For instance, the same technical event (e.g., a server failure) could have different business impacts depending on which services are affected and the time of occurrence.

Impact of Events on System Performance (Answer A – Incorrect): System performance data can be easily assessed by AI without much human intervention.

Performance and Capacity Thresholds (Answer B – Incorrect): These are typically predefined and can be managed automatically by AI without significant human input.

Anomalies Not Apparent to Humans (Answer D – Incorrect): AI is typically better than humans at detecting subtle anomalies, so this would not require human input. ITIL 4

Reference: Monitoring and Event Management Practice: AI can help automate event correlation, but human input is needed to assess the broader business implications of technical events.