Kyle Grove explains how Teradata and some of world’s largest financial institutions are innovating credit risk ranking with deep learning techniques and AnalyticOps. With the AnalyticOps framework, these organizations have built models with increased accuracy to drive more profitable lending decisions while being explainable to regulators.
Kyle Grove is the chief data scientist for Teradata’s Wells Fargo relationship, where he employs his dual background in natural language processing and cognitive science to architect data science solutions that optimize banking functions in risk, compliance, service, and marketing. The productionalized solutions utilize machine learning at scale to predict and nudge human behavior to ends favorable to the bank and its customers.
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thanks for the very insightful talk. Will the slides be available online ? There were some references to model/technique that I didn’t had time to note during the talk.