Bernard KahnIT Delivery Mgr/Project Manager| independentForest Hills, Ny, United States
Anomaly detection refers to seeking of the unexpected events or situations, often indicative of problems yet to surface. For me, an essential part of risk management. Not just outliers, but sometimes something missing.
While automated tools and copious data can help with the data side of anomaly detection, it's the other side that deep experience helps in detecting such. It may just the gut feel of an experienced PM; conversations around that with the project team or with professional colleagues can bring that into specifics, an identifiable entity. Saving Changes...
The GFI (Gut Feel Indicator) gained through experience can be extremely valuable, however it should also be treated with judicious skepticism. There are many phenomenon, including confirmation bias that can skew our perceptions or reveal patterns that may be little more than faces in the clouds. I frequently use data analysis to confirm or deny hunches based on experience, and often find that root causes are quite different than what was suspected to be the case.
While I certainly would not discount the value of experience (including my own), much like AI we must still validate that the patterns we recognize are real, and not merely some artifact of our subjective and incomplete memories. Saving Changes...
