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Rev 3: How Data Science is Reshaping the Insurance Industry

Nathan Greenhut, Head of Financial Services and Insurance, Domino Data Lab Nat Manning, Co-Founder & COO, Kettle Antoine Ly, Chief Data Science Officer, SCOR Glenn Hofmann, Chief Analytics Officer, New York Life This session was presented on May 6, 2022 at the Rev 3 Enterprise MLOps Conference. Learn more: https://rev.dominodatalab.com What's ahead for one of the oldest industries in the world? SCOR's Antoine Ly will explain how data science models, and machine learning are improving the ability to understand and price risks. Insurance companies are also using these capabilities to offer new services to customers (like instant quotes in the case of auto accidents). They are even creating new insurance products like cyber and climate insurance. Our panelists are at the frontline of these changes -- building these products and services themselves -- and will paint a vivid picture of the challenges and opportunities that lie ahead. About Nathan Greenhut: Nathan Greenhut is currently the Head of Financial Services and Insurance at Domino Data Lab. Prior to Domino, and at the time of this recording, he was a Cognizant Client Solutions Executive. He has over 16 years of experience in cognitive systems, artificial intelligence, decision support systems, large-scale system modernization and transformation, and continuous improvement programs. His area of expertise is in banking and financial services. Nate recently led the delivery of a data warehouse and big data lake for a client to establish and augment the technological infrastructure, bringing siloed data together. Additionally, Nate developed and drove a conversational AI implementation on a development platform that included Amazon Alexa, Google Assistant and IPSoft Amelia. Throughout his career, Nate has led large, multi-disciplined groups, including data science, artificial intelligence, machine learning and engineering teams, to build integrated data analytics platforms for performance improvement, customer, sales analytics, fraud, cyber and anti-money laundering analytics. Nate holds bachelor of science, master of science and master of business administration degrees from Rutgers University and is a Certified Fraud Examiner. Currently, Nate is enrolled in Harvard’s Business Analytics Program. About Nat Manning: Nathaniel previously led Ushahidi, the world’s largest open source data platform for crisis response. Here he helped scale the Ushahidi platform to over 200 countries gathering over 10M first hand reports. Previous to that he was a Presidential Innovation Fellow for Open Data, and then the first Chief Data Officer of the US Agency for International Development, where he helped open up and analyze large data sets for humanitarian response. He has been part of the founding teams of technology startups like BRCK and FellowAI. About Antoine Ly: Antoine puts knowledge sharing and learning at the center of the team & company development. He contributes to the company growth by acting and sharing those key values that benefit to innovation, self-development and value-added deliveries. With his mathematical background, he is sensitive to the application of research and technologies to answer business and real life issues by following software engineering best practices. About Glenn Hofmann: Glenn Hofmann is currently the Chief Analytics Officer at New York Life Insurance Company (NYL), a Fortune 100 firm, where he combines extensive knowledge in applied statistics, analytics and data infrastructure with deep expertise in building and leading large teams of data- and analytics-focused professionals from the ground up to influence strategy as well as transactional decisions through data science-driven innovation. Glenn has previously held leadership positions at Allstate, TransUnion, and Verisk Analytics. #rev3