Artificial intelligence can solve a number of IT management challenges, argues Andy Thurai, Deepsense.AI U.S operations head.
Any anomaly can signal the existence of a problem, as the default state of the infrastructure ecosystem is stable, he says. So early detection of an anomaly is usually a sign of a problem that has yet to be fully understood, he says.
Root cause identification another advantage, when most enterprises have multiple to scores of separate monitoring systems, Thurai says.
Service tickets analytics are another advantage of applying AI to operations. When fed data on tickets submitted to a service desk, an ML-based model can predict seasonal spikes and requests. This can help the service desk owner deploy help desk personnel as needed. So we predict the number of call center agents you need to have on site, says Thurai.
AI also can be applied to detect seasonality trends and adjust capacity accordingly.
Machine-powered analysis delivers insights that are beyond the reach of humans. Frequent pattern mining is possible because AI canfind correlations that are impossible for humans to detect.
AIOps solutions also eliminate noise and allow staff to concentrate on the real underlying problems.
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