Members Only Content
Don’t Get Burned: A Smart Approach to Choosing an InsurTech Partner
Walking the expo floor at an InsurTech conference can feel overwhelming. With over 100 vendors touting AI-powered automation for underwriting, service or claims, it's easy to get lost in the buzz. As ...
Death of Pilots and MGA Burn: Execs Offer InsurTech Partnership Basics
Cultural fit, strategic alignment and systems compatibility are among the ingredients of successful carrier-InsurTech partnerships, according to a group of executives who spoke at a recent webinar ...
How a Decentralized Structure Opens Career Paths at C&F
Thankfully, members of the next generation of leaders in the property/casualty insurance industry have had no direct experience with insurance company failures, rehabs and restructurings that ...
Cigar Butts and Toxic Sludge: The Rebirth of a P/C Insurer
It's hard to imagine an executive describing his company and its peers in the industry as "cigar butt companies where the butt had been dropped in toxic nuclear sludge, [and] rolled in asbestos…" ...
How Decentralization Works at C&F
Crum & Forster CEO Marc Adee remembers what it was like in years past when he was leading divisions of a company then operating under a centralized model that forced him to fight for corporate ...
Targeted by Cyber Criminals: Why Insurers Must Confront the Human Element
The insurance industry is facing a full-blown cyber crisis. As insurers pursue digital transformation to meet rising customer expectations and improve operational efficiency, they're also becoming ...
Is Bad Network Performance Impacting Your Claims Experience?
When insurance customers call to file a claim after a car crash or natural disaster, they expect answers—not a dropped call or buggy application. But IT performance issues can quietly undermine ...
Transforming CAT Modeling With AI: A Framework for Insurers
Insurers are fundamentally transforming catastrophe (CAT) modeling approaches with artificial intelligence (AI), machine learning (ML) and advanced climate data analytics, as traditional ...

