Artificial intelligence applications are now commonplace in the insurance industry. However, many insurance executives are not 100% comfortable with implementing an AI-based solution within their organizations.

On Tuesday, September 17th, Dr. Nilesh Karnik, Chief Data Scientist at Aureus Analytics held a live Masterclass in which we explored the applications of artificial intelligence for the non-technical business user. Upon laying the foundation, we focused on examples of actual implementations of AI applications that are in production today, followed by best practices for developing and maintaining practical applications in the insurance industry.

This session will help participants better understand:

  • Examples of what artificial intelligence is and what it is not, including the history of AI development, from initial AI-based systems and the progression to present day

  • The breadth of AI applications at present: machine learning, language processing, voice analytics, computer vision, optimization, robotics, and games

  • “How” is it done: a deeper dive into the “how” part with a focus on learning systems, i.e. machine learning, neural networks, deep neural networks

  • Case studies of real implementations of AI applications of insurers using predictive models for customer retention and fraud detection

  • Practical considerations for building stable, maintainable AI applications

Who Will Benefit From This Masterclass?

Whether you view AI as a business advantage or a potential risk to your organization, this Masterclass is designed to help non-technical senior managers and executives gain a better understanding of how practical AI applications can be deployed in the different insurance organizations.

Typical attendees include:

  • Insurance executives seeking to better understand AI

  • LOB owners from Underwriting, Operations, Claims, Marketing

  • Customer Experience and Customer Service senior management

  • Service Center and Call Center senior managers and executives

  • Business users of predictive and sentiment analytics applications

Fill out the form to watch the live recording and access the presentation of this webinar we held on September 17, 2019.

Dr. Nilesh Karnik

Chief Data Scientist, Aureus Analytics

Dr. Karnik is responsible for the development of algorithms and mathematical models that power Aureus' platform and products which help large organizations with advanced analytics solutions.

Nilesh holds a Doctorate in Electrical Engineering from University of Southern California (1998). His PhD dissertation made a substantial contribution to the theory of Type-2 Fuzzy Logic Systems and his work is still widely referenced.

In 2015, Analytics India magazine named Nilesh one of the top 10 data scientist to watch.

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