Mike Kennedy Joins PointPredictive to Lead Artificial Intelligence Scoring Team

SAN DIEGO, June 19, 2018 (GLOBE NEWSWIRE) — PointPredictive announced today that Mike Kennedy has joined the company as Vice President of Analytics to spearhead the growing team of data scientists in its San Diego offices. He has more than 20 years of machine learning experience across credit card, retail banking, small business, and auto lending with a focus on leveraging advanced data science to stream-line lending decisions while driving down fraud and misrepresentation risk. He previously held key leadership positions at Mulligan Funding, Opera Solutions and Fair Isaac Corporation.

“I am excited to embark on this opportunity with PointPredictive,” said Mike Kennedy. “The team is trailblazing new ground helping auto, mortgage and retail lenders leverage artificial intelligence. I’m thrilled to be part of a world-class team that has access to the breadth and depth of data to drive the highest performing scores that fundamentally changes the way decisions are made in these industries.”

As Vice President of Analytics, Kennedy will focus on driving performance improvements in the company’s automotive, mortgage and retail artificial intelligence solutions that power stream-lined decisions in lending that also reduce fraud and misrepresentation risk by more than 50% using a modern, real-time, predictive scoring approach. By leveraging innovative techniques such as deep neural networks, he plans to reduce fraud and misrepresentation losses for PointPredictive customers by an additional 20% over the next year.

In addition to driving performance enhancements, Kennedy will focus on leveraging PointPredictive’s vast repository of historical application, loan and dealer data to drive new innovative solutions to the market.

“We’re thrilled to have Mike join our leadership team,” said Tim Grace, CEO of PointPredictive. “He is a pioneer in machine learning and, over the past 20 years, he has built and deployed models that are used millions of times each day to target fraud and risk across multiple industries.  We have one of the best data scientist teams in the risk management space and we’re excited to have him lead our efforts.”