Insurance(Subrogation) and AI

Subrogation is an essential part of the insurance industry, allowing insurers to recover losses from third parties responsible for causing the insured's loss. However, the subrogation process can be complex and time-consuming, requiring manual effort to identify liable parties and negotiate settlements. With the advent of AI, insurers can automate and streamline the subrogation process, resulting in improved efficiency and accuracy. In this online session, I will discuss the use of AI in subrogation, providing insights into the benefits of AI-enabled subrogation. I will discuss how AI can be used to identify potential subrogation opportunities, evaluate liability, and predict recoveries. Additionally, I will provide examples of successful AI implementations in subrogation, showcasing how AI has already transformed the subrogation process. As an insurance industry expert, I will also discuss how AI can be integrated into existing subrogation workflows, ensuring minimal disruption to the current process. Lastly, I will share my vision for the future of subrogation, discussing how AI can help insurers further improve subrogation outcomes, reduce costs, and enhance customer satisfaction. Join me in this session to learn how AI can revolutionize subrogation and improve the overall efficiency and accuracy of the insurance industry.

Who is this presentation for?
NLP enthusiasts, Insurance Business User and Data Scientists

Prerequisite knowledge:
Interest in NLP, Insurance Industry

What you'll learn?
learn how AI can revolutionize subrogation and improve the overall efficiency and accuracy of the insurance industry.

Name: Abhishek Rai Domain: Insurance Industry Bio Data: Hello, I'm Abhishek Rai, a data scientist with expertise in designing solution architecture, building ML models, and creating data pipelines in the insurance industry. I hold a Master of Science in Business Analytics (Data Science) from The University of Texas at Dallas and a Bachelor of Technology in Computer Science Engineering from Guru Gobind Singh Indraprastha University, New Delhi. Throughout my career, I have gained experience in programming languages, databases, big data technologies, and BI tools, working on projects ranging from regression and clustering to deep learning and data mining. As an insurance industry expert, I have worked on projects related to claim processing, fraud detection, and subrogation scoring. My recent work includes leading a team of data scientists to develop an NLP engine and ML models to reduce manual tasks and automate decision-making processes in the insurance industry. I am passionate about using my skills to help organizations in the insurance industry make data-driven decisions and stay ahead in today's competitive landscape. I have expertise in productionizing ML models and deploying them in real-world scenarios, ensuring scalability, reliability, and maintainability in the insurance industry. Please follow me, and let's make connections