The Future of Data Science in Insurance

Key Takeaways:
  • Understand how the current state of data science in insurance, and the value it provides insurers
  • Four key principles to ensure value creation with data science for both the customer and the company
  • Explore the future of data science in insurance, from technical advances that drive more value to the evolving regulatory landscape
Thursday, October 7th, 11 AM ET

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Description

The insurance industry is one of the most data-rich industries out there, setting it up as a gold mine for innovation and disruption with data science. Now more than ever, insurers are leveraging data to make data-driven decisions and predictions across the insurance value chain. What is the future of data science in insurance? And how can insurers better leverage data to compete in the fourth industrial revolution? 

In this webinar, Regional Chief Data and Analytics Officer at Allianz Benelux Sudaman Thoppan Mohanchandralal will discuss the current state of data science in the insurance industry and the value it provides insurers, customers, and intermediaries. Moreover, he’ll outline four key principles insurers should follow when scaling the value they extract from data science. Finally, he will end with a discussion on the future of data science in insurance, covering a range of technical innovations that will drive higher value and the evolving regulatory landscape in this space.

Presenter Bio

Sudaman Thoppan Mohanchandralal Headshot
Sudaman Thoppan MohanchandralalRegional Chief Data & Analytics Officer at Allianz Benelux

Sudaman Thoppan Mohanchandralal is the Regional Chief Data & Analytics Officer at Allianz Benelux. Steered directly by the regional CEO with his team, he has deployed many insurance leading AI solutions securing and enriching the competitive advantage for their business. He holds two masters in Computer Science & Business Administration, with a super specialization in Business Analytics and Intelligence. He is a data scientist and technologist, and is interested in translating complex ideas into actions, and carries the view that the future is one of ubiquitous AI. He’s experienced in bridging business initiatives with technology and human expertise, and fitting AI into organizations of today to transform them into organisations of tomorrow. He is also a doctoral student, following his PhD trajectory in the field of Artificial General Intelligence. His research interest is in encoding expertise in active self-learning machines.