|Leading analysts like Gartner agree that Root Cause Analysis is still a people-dependent process. Furthermore, they recommend that ITOps leaders leverage machine learning technology to provide contextualized information across the production stack, understand similarity in events from the past, and accommodate human interaction so that the algorithms can learn from human behavior over time.
Moogsoft’s unique Probable Root Cause is the first technique that can understand causality in unpredictable IT environments with a significant degree of certainty, and without reliance on a model.
In this webinar recording, Moogsoft executives Richard Whitehead and Robert Harper discuss this innovative approach to Root Cause Analysis, and how it can change the way your operations teams address IT incidents.
Understanding AIOps & Probable Root Cause Analysis
The following is external content provided as a free resource for blog readers.