This webinar explores how AI can equip insurers with tools necessary to refine risk segmentation and increase pricing precision, and the positive impact this could have on loss ratios.
Featuring insights from across the P&C sector - and motor in particular, where traditional actuarial models need refinement to meet the evolving challenges in risk assessment - this session delves into how AI-driven customer risk scoring can improve underwriting precision.
You'll see how, by deploying sophisticated risk models, you can achieve more granular portfolio segmentation, offering bespoke coverage solutions and making data-driven adjustments to pricing structures based on the risk profiles of policyholders. You'll hear how this can ensure greater alignment of coverage with risk, and the ability to meet the demand for personalised insurance solutions.
By attending you’ll take away an understanding of how:
- AI can enhance risk segmentation and improve pricing precision, potentially reducing loss ratios
- AI-driven customer risk scoring can improve underwriting precision
- AI can enable more granular portfolio segmentation and personalised insurance solutions
- Real-time analytics powered by AI can support advanced risk mitigation and informed decision-making
- AI integration with traditional actuarial methods can optimise portfolio governance and improve financial performance
Speakers include:
- Arina Man, Chief Executive Officer, K2G
- Bill Wilkins, Snr VP, Advanced Analytics and Practical Applications, Safety National
- Oleg Korol, CTO, K2G
- Christian Toft-Nielsen, Senior Vice President, Predictive Modeling & AI Strategy, Ascot
This webinar is brought to you in association with K2G. By registering you agree to share your information with this organisation.