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Re-thinking Broker to Carrier Data Exchange | 2024: An Insurance Odyssey

This panel explores the inefficiencies in current broker-to-carrier data exchanges and discusses potential improvements through automation and technology, particularly Gen AI. Industry experts share insights on transforming underwriting and broking practices with accurate, decision-ready data, aiming to enhance overall efficiency in the insurance industry. Panel Speakers: - Sam Worthington, Managing Director - Aon - Amy Nelsen, Head of UW Operations, US Middle Market - Zurich Insurance - Tom Wilde, CEO - Indico Data - Robin Merttens, Chairman - InsTech After our sell-out half-day event in New York on the 14 March, we were back at Google but in a bigger space at their shiny new venue in St. John’s Terminal, NYC. Despite the increased investments in technology over the past years, expense ratios and underwriting profits have remained at the same levels as they were a decade or two ago. Insurance has changed, but only incrementally – more evolution than revolution. The industry is still a long way from realizing the full potential that technology can bring. A world that is highly automated, providing a broader range of highly customized products, priced and delivered better. But how do we get to that endgame – evolution, revolution or a bit of both? You joined us in New York, June 4 – 2024: An Insurance Odyssey – the voyage from evolution to revolution. In collaboration with Google Cloud, Aon, AdvantageGo, Unqork, and Indico Data, we explored the following: -The potential benefits from re-imagining broker/carrier data exchange. -Enterprise-ready AI capabilities matched to the industry’s needs. -How technology and data ecosystems can streamline risk assessment and pricing. -How the technology of today can deliver the underwriting world of tomorrow. ---------- 00:00 Introduction: Rethinking Broker to Carrier Data Exchange 00:45 Challenges in Current Data Exchange Processes 02:41 The Role of Technology in Data Exchange 03:56 Underwriting and Data Quality 07:03 Future of Data Exchange: Gen AI and Automation 12:06 Trust and Adoption of Data Exchange Solutions 16:22 Predictions for the Next Five Years 20:46 Conclusion