Event Details
About This Event
This webinar is 90 minutes.
This webinar is complimentary to non-North American audiences in the CAS.
The webinar on "Integrating Actuarial Models with Neural Networks for Building a Fraud Detection Model for Automobile Insurance" will explore how combining actuarial models with neural networks can lead to more accurate fraud detection in the context of automobile insurance. The webinar will cover topics such as data sources, feature selection, model training, and evaluation. Attendees will gain insights into the potential benefits and challenges of building an integrated model and learn about the types of fraud that can be detected using this approach. Overall, the webinar is designed to provide attendees with a thorough understanding of the concepts, methodologies, and practical considerations involved in building an integrated actuarial and neural network model for fraud detection in automobile insurance.
Key Messages
- Combining actuarial models with neural networks can lead to more accurate fraud detection in automobile insurance.
- Building an integrated model requires careful consideration of data sources, feature selection, and performance metrics, as well as addressing practical challenges such as data privacy and regulatory compliance.
- An integrated model has the potential to improve overall accuracy and reduce false positives and false negatives, resulting in better fraud detection and cost savings for insurers.
Learning Objectives
- Understand how actuarial models and neural networks can be integrated to improve fraud detection in the context of automobile insurance.
- Learn about the types of data sources and fraud that can be detected using an integrated model, and the key steps involved in building such a model.
- Gain insight into the potential benefits and practical considerations of using an integrated actuarial and neural network model for fraud detection in automobile insurance.
This webinar is complimentary to non-North American audiences who are part of the CAS and the CIA. The webinar will be conducted over GotoWebinar. The link to enter the webinar will be sent two hours prior to the webinar taking place. Please make sure to test your system.
Rohan Yashraj Gupta, AIA, ASA
Visiting Faculty at Sri Sathya Sai Institute of Higher Learning (SSSIHL)
Consultant at RSA Actuarial Services
Rohan Yashraj Gupta has an impressive academic background with a PhD in the area of fraud detection in insurance business from Sri Sathya Sai Institute of Higher Learning (SSSIHL). As a visiting faculty at SSSIHL, he is dedicated to supporting and guiding actuarial students at both graduate and post-graduate levels.
Rohan's research work has been well received by the actuarial community, having published 9 research papers and book chapters. He has also presented his work at several highly regarded actuarial conferences, including CAS Spring Meet, ASTIN Colloquia, and Insurance Data Science Conference.
Apart from his academic achievements, Rohan has 5 years of experience working in both life and non-life domain. His work experience includes Ayushman Bharat (Group Health Insurance) claims analytics, crop insurance pricing, and cancer product pricing. His work in these areas has enabled the development of innovative and effective solutions.
Rohan's interest in data analytics and predictive analytics has led him to develop over five web apps/dashboards for dynamic reporting and visualizations during his work.
Rohan is an Associate of both the Institute of Actuaries (AIA) and Society of Actuaries (ASA) and is currently working as a consultant in RSA.
