In this podcast, Othman Loudghiri of Verisk discusses how artificial intelligence and machine learning enhance underwriting with comprehensive information about risk, while also introducing operational and efficiency gains.
In this podcast, Elizabeth Casas of Verisk discusses the role artificial intelligence and machine learning play in delivering game-changing results to commercial property insurance underwriting.
In this podcast, Mark Sheehan of Verisk introduces Rating-as-a-Service (RaaS), a cloud-based solution that digitizes rating content to introduce efficiencies and make the content more actionable for carriers.
Join this complimentary webcast to discover how a holistic, automated underwriting strategy can help carriers achieve their goals and better serve their policyholders.
Taking full advantage of the small commercial underwriting data around you could depend on filtering out the noise, then extracting meaningful insight for risk assessment and quoting. In this podcast, Verisk's Tracey Waller discusses how to cut through data noise.
As automated underwriting continues to grow, it's important to remember the importance of leveraging solid data and analytics quickly, with scale, and without compromising underwriting guidelines, notes Tracey Waller of Verisk in this exclusive podcast.
Data-first strategies have provided commercial lines underwriters with quick and easy access to large amounts of information on applicants. Ron Biederman of Verisk explains why that's leading to better underwriting decisions in this podcast.