AM Best Webinars
Modeling for US Perils, Hot Topics in Canada,Tapping Into Pet Insurance

• October 2020
• 

On Demand

Unique On-Demand Catastrophe Modeling Services for Three Major US Perils

A panel of experts discuss the technical advances of three key U.S. peril models (earthquake, hurricane and flood) and describe pioneering, on-demand risk and loss analysis services, based on those models.

Canada 2020 Hot Topics Panel Discussion

AM Best analysts and market experts examine significant industry issues, including the impact of COVID-19 and regulatory/accounting issues that will influence the Canadian insurance market.

All in the Family: Tapping Into the Pet Insurance Market Opportunity

Insurance consultants and experts explore how insurers can embrace new strategies and align their products, distribution and underwriting, claims and operations to tap into the pet insurance market.

AM Best's Virtual Reinsurance Market Briefing – Zurich

AM Best senior rating analysts discuss the global reinsurance sector and its outlook, as well as offer opinions on the key rating issues impacting all reinsurers.

Responding to the Unique Challenges of Wildfire Claims

A panel of insurance professionals review the upsurge in wildfire-related claims activity, including typical damage and response patterns, emerging areas of liability and the challenges of making policyholders whole following highly emotional widespread disasters.

Webinar Highlights

The Perils and Promise of Insurtechs

The insurtech movement is uncovering new processes and pathways for insurers. A panel of insurance technology experts examine how insurers are learning and profiting from the new wave of entrants into the insurance technosphere.

View These and Other AM Best Webinars

• AM Best's Virtual Reinsurance Market Briefing – RVS 2020
• State of the Surplus Lines Market
• State of the Global Reinsurance Market
• Market Dislocation Creates Opportunities for Captives

For details or to register for webinars, go to http://www.ambest.com/conferences/webinars.asp