Mike (Fitz) Fitzgerald brings extensive industry experience to his consulting role. Prior to joining SAS, he was vice president of enterprise underwriting solutions at Zurich North America, where he led the evaluation of technologies to support a new product development process. He held a number of leadership positions at Royal & Sun Alliance, including as field operations executive in the loss sensitive / global accounts division. His technology implementation experience includes the installation and maintenance of agency management, automobile policy administration, and workers compensation systems. In the 1990s, Mike led an initiative which delivered one of the first global online underwriting and claims learning platforms in the industry.
Much of the discussion around how to manage the advanced forms of artificial intelligence—machine learning, generative AI, large language models—deals with them only as technologies. This is a mistake. Like any employee, AI must be onboarded to learn "how we do things around here." Advanced forms of AI have characteristics
As insurance continues to evolve, the link between analytics, AI and organizational success has never been more apparent. Marvin Pestcoe serves on the boards of Hamilton Insurance and Catalina Insurance. He is a fellow of the Casualty Actuarial Society. In short, he understands the connection between analytics, AI and insurance
Have you ever been in a meeting and heard, “We should leave that to the IT department to figure out. That’s a system thing”? I have observed this attitude among insurance professionals my whole career. It was almost as if anything that had to do with IT systems was radioactive!
What if, 12 months ago, someone bet you that a technology was coming in the next year that would cause great excitement and great fear in all businesses, industries and geographies? Would you have taken that bet? Of course, now we know that the technology is generative AI. Popularized by
