Abstract: 

Insurance is one of the modern world’s oldest industries. Since the beginning, an insurers success has hinged on its ability to leverage statistics and actuarial science to analyze risk. But the last decade has created a perfect storm of technological evolution causing the industry to reinvent its core disciplines. On our panel, we’ll speak with some of the insurance industry’s leading data scientists to learn more about many topics including new lines of insurance driven by our tech-centric society (e.g. the rise of cyber insurance) and the impact vast amounts of available data sources has on modeling risk.

Bio: 

Marc heads the data science group at BitSight which strives to keep BitSight Ratings the best in the business, enable new features and products, provide thought leadership in the cyber security industry, and improve other BitSight business functions where possible. Marc started his career as a data scientist at BBN Technologies in the 80s while studying Cognitive Science at MIT. Venturing out of the Hub, Marc’s path included earning a CS PhD in upstate NY, working on machine translation in Germany, search at the MITRE Corporation in Bedford, bioinformatics at the University of Iowa, natural language processing at Thomson Reuters in Minnesota, electricity market forecasting at WindLogics, electricity theft detection for Florida Power & Light, and predictive analytics for Industrial IoT at Honeywell. He is very happy to be working on risk at BitSight and to be back in the Boston area.