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Dr. Nilesh Karnik

Dr. Nilesh Karnik

Dr. Karnik is the Chief Data Scientist at Aureus. In this role, he is responsible for development of algorithms and mathematical models that help large organizations with advanced analytics solutions. His PhD dissertation made a substantial contribution to the theory of Type-2 Fuzzy Logic Systems and his work is still widely referenced.

Recent Posts:

3 Insights From ITC 2019

I recently attended my first InsurTech Connect conference in Las Vegas a few weeks ago. Aureus has been attending and exhibiting at this conference, so I thought I knew what to expect. What surprised me the most about ITC 2019 was the sheer volume of people and the efficiency with which it was handled. I was impressed with how well organized it was. ITC's mobile app was a great way to encourage networking. The app enabled me to speak with over 150 attendees from insurance companies, agencies, brokers, and other technology providers. From these conversations, there were three topics that seemed to be on everyone’s mind this year.

6 Factors to Consider Before Building a Predictive Model for Life Insurance

If a life insurer wants to build a predictive model, how should they go about it? In this article, we explore the factors that need to be considered before beginning actual model development. We will do this by using the example of predictive models for improving persistency. (Improving persistency for a life insurer means increasing the volume of business they retain.)

    Related Posts

    Data and Innovation: 2 Sides of the Same Coin

    As we set our feet in 2023, having experienced a roller-coaster ride last year thanks to the geopolitical tensions and some lingering rub-off effects of COVID-19, it drives home that "change is the only constant." Like any other industry, insurance is undergoing paradigm changes at different levels, whether recruiting potential candidates or customer onboarding, to name a few. However, a common thread that ties the myriad business functions of an insurance company has been data and innovation. There has been an ever-increasing need for insurance providers to use data and embrace innovation in their routine activities, eventually to stand the cut-throat competition.

    Intelligent Risk Assessment in Insurance

    Risk Management is a core function within the insurance industry. It is a vital responsibility of the underwriting team. Insurance companies collect data scattered across different business units in various formats – some of which are paper and digital, most of which are typically unstructured. The underwriting team doesn't have immediate access to the information required for internal and external decision-making, resulting in delays in making decisions and costly mistakes.

    Why Does the Long-term Nature of Life Insurance Products Make Customer Retention Difficult?

    Most insurers offer similar products and services, which makes it challenging to attract new customers and retain them. As an industry, insurance is low-touch, and insurers seldom interact with their customers. A report shows that the top companies have an average customer retention rate of 93 - 95 percent, while insurance companies have an average of 84 percent.