Revolutionising Underwriting Using AI: Boost Agility and Profitability

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Presented by

Scott Toland, Zurich Insurance; John Pyall, Great Lakes Insurance; Tony Tarquini, 5189 Limited; Marcus Looft, Earnix

About this talk

As insurers face a rapidly changing environment and shifting customer expectations, modernising underwriting is crucial for capturing new business and driving profitability. This webinar explores how new technologies and innovative processes can transform underwriting, improving agility and outcomes. Learn to leverage advanced data analytics for better risk assessment, automate operations, and enhance decision-making with AI and machine learning. Key Discussion Points: - Discuss how legacy systems are creating barriers to realising underwriting’s true potential - Unpack some of the challenges insurers face in today’s underwriting landscape - Discover how predictive analytics and real-time data insights can refine risk assessment, enhance pricing accuracy, and support better underwriting decisions - Explore ways to automate repetitive workflows, speeding up processing times and enabling your teams to focus on strategic, high-impact tasks - Learn to integrate AI and machine learning into decision-making processes to improve the accuracy and speed of underwriting and claims evaluations - Gain insights on fostering a culture that embraces change and continuous improvement, driving higher efficiency, adaptability, and profitability across operations Speakers include: - Scott Toland, Chief Underwriting Officer, EMEA, Zurich Insurance - John Pyall, Head of Underwriting and Product, Great Lakes Insurance - Marcus Looft, Strategy Director, Earnix - Tony Tarquini, Founder & CEO, 5189 Limited (Moderator) This webinar is brought to you in association with Earnix. By registering you agree to share your information with this organisation.
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