Graphs and Fault Localization: A Case of 'Unreasonable Effectiveness', Phil Tee

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**Talks are recorded and posted to our YouTube channel at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA . Coffee is served at the in-person seminar at 101 Howard St.**

Graphs and Fault Localization: A Case of "Unreasonable Effectiveness’'

Graph theory and Network Science are well understood areas of pure mathematics and complex systems analysis. Perhaps less well appreciated is their extreme utility in the practical area of IT Operations. In this talk I will briefly overview the use case of IT Operations, provide a quick survey of useful concepts in graph theory and then describe and contrast two applications to the area of fault localization. The first is a somewhat legacy application of legacy systems, the second an application of the more novel concept of vertex entropy, a concept arising from the information theoretic treatment of graphs. What I hope will be apparent is the Unreasonable Effectiveness of graphs in network science, with apologies to Eugene Wigner.

Phil Tee is the CEO and co-founder of Moogsoft, the pioneer and leading provider of artificial intelligence for IT operations (AIOps). Phil is a serial entrepreneur, inventor, and expert in IT service assurance — a category he was instrumental in shaping through his invention of Netcool (acquired by IBM) nearly 25 years ago.

His curiosity in the IT space began after graduating from the University of Sussex in 1990, but that academic experience was what led to the development of Moogsoft’s initial technology. Two years after graduation, he co-founded Omnibus Transport Technologies Limited (OTT) to build and market Netcool/Omnibus. Since then, Phil has led numerous companies to successful exits, including RiverSoft (IPO) and Njini (acquired by Riverbed).

Phil’s career came full circle when he went back to his academic roots and co-founded Moogsoft in 2011. Now, with over 120 customers worldwide, including SAP SuccessFactors, American Airlines, Intuit, GoDaddy, Yahoo!, and HCL Technologies, Phil’s legacy has helped IT teams work faster and smarter. With patented AI analyzing billions of events daily across the world’s most complex IT environments, the Moogsoft AIOps platform helps the world’s top enterprises avoid outages, automate service assurance, and accelerate digital transformation initiatives. Customers are what drives Phil to improve and learn more each day, and his pursuit of rigorous scientific discovery and innovation of technology is at the heart of Moogsoft.