Dr. Helen Gu, Ph.D., has made it her life’s work to create unsupervised machine learning to detect anomalies in data in valuable ways. Based on more than 15 years of academic research and findings, Helen created InsightFinder, a tool that can help predict and prevent IT incidents based on algorithms that can determine an anomaly score and predict the future impact on a company’s infrastructure. The platform also figures out the root cause of each system problem and gives it the ability to fix itself automatically, so service outages have less of an effect. In addition to being the founder and CEO of InsightFinder, Helen is also a computer science professor at the University of North Carolina and worked at the IBM T. J. Watson Research Center, where she worked on the IBM stream processing system called System S. It later became IBM’s InfoSphere Stream product.

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What is machine learning? Helen Gu, Founder and CEO of InsightFinder Inc., answers your question in this edition of Ask

A major credit card company’s mobile payment service experienced severe performance degradation on a Friday afternoon.
InsightFinder utilizes the industry’s best unsupervised multivariate machine learning algorithms to analyze a large amount of production system data.