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.

The promise of automation has led to a new concern: bias in the AI algorithms and scoring models, which has led to some unexpected and unfair outcomes.

John Kanet, director of auto insurance at LexisNexis Risk Solutions, talks about the challenges associated with ADAS and the most important considerations and resources for success in the future.

Join this complimentary webcast to discover what critical insights image analytics can provide your organization and how it can improve your underwriting processes.

Insurer-led startups are taking advantage of a renewed interest in E&S lines, and they're finding help from established tech partners, notes Liza Smith of OneShield in this exclusive interview.

Jill Beggs, president of Excess & Surplus Insurance lines at Munich Re Specialty Insurance Group, discusses what the current environment means for E&S lines, the challenges brokers are facing in the space, and how to grow and prosper in this risk landscape.