Telematics: Transforming the Old World of Insurance Underwriting with New Data

A data-connected automobile generates some 25 gigabytes of data every hour. That’s equal to about a dozen HD movies and more than the storage capacity of most smartphones. We know what the car is telling the network–everything from route, speed and even road conditions. Vehicles today have about 40 microprocessors and dozens of sensors that…

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Personalized Customer Analytics: The Key to the Future

As the Chief Analytics Officer for Earnix, a Tel Aviv-based provider of advanced analytics solutions for the financial services industry, I am focused on how financial services companies can use data and analytics to figure out what their customers really want and how to better interact with them. Personalization analytics is the key to the…

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Off-line vs Real-Time Analytics: Where is the Industry Heading?

Financial institutions are demanding real-time analytics at their point of customer interactions. For years, we have been advising our clients to connect their front-end customer facing systems with real-time pricing analytical capabilities, or at least lay the foundations to enable this capability in the near future. According to Gartner Research (1) “Between 2016 and 2019,…

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Meeting of the Minds: The Earnix Analytics & Innovation Summit

What sparks your interest in new ideas? How do you learn about the important trends that will propel your business? In a world dominated by online newsletters and webinars, the concept of meeting face-to-face with thought leaders and peers does not get enough attention. Sure, staying current through internet-based channels is fast, easy and inexpensive.…

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Challenging The Status Quo: How Banks Can Win In The PSD2 World

In less than six months, the second Payment Services Directive (PSD2) will have been implemented into law in all European Union member states. The Directive is a landmark moment in banking, introducing competition to the payments market and overturning the status quo. In the PSD2 world, banks will not only compete with each other, but…

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Are You Making these 7 Mistakes When Deploying Your Models?

I am always excited to see more organizations wanting to use analytical models at the center of their business processes. Like most things in life, the road to success is not straight; sometimes there are a few road bumps to navigate. The same is true for integrating models into the production environment. For instance, even…

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How Insurers Can Better Understand Multi-Product Customer Behavior – Machine Learning Can Help

It’s all about the data. That’s the message I kept hearing at the CAS Ratemaking and Project Management conference in San Diego this spring. The message was so strong, that I was asked to present my seminar, “Multi-Product Optimization: Challenges and Opportunities” not once, but twice along with LaCapitale’s Bruno Tremblay at the annual conference.…

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Is Machine Learning a Threat to the Actuarial Profession?

Man vs. Machine: 10 years ago, I would never have guessed that I would be writing about this topic with such serious concern. Yet, some people are predicting that machine learning technology will produce a jobless future for certain professions, including actuaries. And with news headlines like “Google’s AlphaGo AI beats Lee Sedol again to…

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Conversion & Retention Modeling Done Right: The Four Keys to Success

These days, many industries are spending millions of dollars in research to achieve their customer-centric goals. The insurance industry is no different. Insurers are continually raising the analytical bar to gain a better understanding of their customers. Being able to accurately predict consumer behavior is the key to being a step ahead of the competition.…

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