AI-Powered Strategies to Control Loss Ratios in P&C - ERP Spain.com - España y América Latina

This webinar will explore how AI can equip insurers with advanced tools that will allow them to refine risk segmentation and increase pricing precision, and what the positive impact this could have on loss ratios. Featuring insight 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 will delve into how AI-driven customer risk scoring can improve underwriting precision. We'll explore how, for example, by deploying sophisticated risk models insurers can achieve more granular portfolio segmentation, offering more bespoke coverage solutions and/or making data-driven adjustments to pricing structures based on the distinct risk profiles of policyholders. We'll debate the extent to which this method can ensure both greater alignment of coverage with risk, and the ability to meet the growing demand for personalised insurance solutions. In addition, we'll examine the role of AI in supporting advanced risk mitigation through real-time analytics, empowering underwriters with the data necessary to make informed and precise decisions. Participants will gain insights into how AI-enabled scoring tools can optimize coverage frameworks, adjust actuarial factors, and improve overall portfolio governance. And, again, we'll look at how this could potentially impact loss ratios. You'll leave this session with a greater understanding of how, by integrating AI with traditional actuarial techniques, insurers can potentially enhance risk mitigation, and bolster financial performance. Speakers include: - Arina Man, Chief Executive Officer, K2G - Olena Horshkova, Senior Actuary and Underwriting Expert, 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.