Jay Vadiveloo, Director of the Goldenson Center for Actuarial Research Joins the Advisory Board of Spyglaz, a Silicon Valley Company Delivering ML-powered Customer Retention Solutions

SAN MATEO, July 30 2019 – Spyglaz, a Silicon Valley based software company announced that Dr. Jay Vadiveloo, insurance industry veteran and thought leader has joined its board of advisors.

Spyglaz Founder & CEO Neeraja Rasmussen commented, “Jay’s deep domain expertise in the insurance industry combined with his thought leadership in the application of artificial intelligence to actuarial science will help Spyglaz deliver solutions that extend our leadership as an insurance-focused customer retention platform. As Professor & Director of the Janet & Mark L. Goldenson Center for Actuarial Research, a leading think tank at the University of Connecticut, Dr. Jay Vadiveloo works on applied actuarial research projects using teams of academicians, students and industry professionals.  Dr. Vadiveloo has a doctorate in statistics from the University of California, Berkeley, is a Fellow of the Society of Actuaries, a Member of the American Academy of Actuaries, and a Chartered Financial Analyst.

Dr.Vadiveloo has over 25 years of experience working in management positions in the life insurance industry, including senior level appointments at Connecticut Mutual, Mass Mutual, Aetna Financial Services, ING, Deloitte Consulting and Towers Watson – and more than 20 years of experience with UConn’s actuarial science program. “The machine learning based customer retention model that Spyglaz has developed made me realize the potential for applying this technique for policyholder retention in life insurance. To my knowledge, such an approach has never been used before by life insurers and the financial benefits for any company, including other types of insurers, would be enormous,” said Dr. Vadiveloo.

In addition to publishing articles in the actuarial literature and speaking at actuarial conferences, Dr. Vadiveloo recently patented a new algorithm (Replicated Stratified Sampling or RSS) for risk modeling that exponentially reduces processing time at a pre-determined accuracy level for any complex actuarial modeling. He is also Editor and contributing author of a new book on Enterprise Risk Management for Small & Medium-Sized Enterprises that has been published by the Society of Actuaries.

Spyglaz uses machine learning to predict which customers a business will lose before they actually lose them, along with influencers and key retention levers. We give agents, sales managers and customer support teams targeted opportunities to proactively retain customers and grow revenue. Our industry focus is Insurance, Asset Management and SaaS/Software sectors. Spyglaz Contact: talk@spyglaz.com

2019-07-31T10:36:00-08:00
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