Machine Learning and Insurance Underwriting Executive to Expand Company’s Mission to Democratize Analytics Capabilities for Actuaries and Business Analytics Professionals
Boston, November 27, 2018 — DataRobot, the creator of the automated machine learning category, today announced it has appointed Neal Silbert as the GM of Insurance. In this position, Silbert will lead DataRobot’s insurance business and work with data scientists, actuaries and business analytics professionals to deploy machine learning in underwriting, claims, and servicing in order to improve the profitability and efficiency of business decisions.
Silbert has more than 20 years’ experience in insurance with deep expertise in driving advanced analytics and data science programs. Prior to joining DataRobot, he held a variety of leadership positions at Insurance Industry Advisors, Zurich North America, IBM, and SPSS. Most recently, Silbert was senior vice president at Insurance Industry Advisors where he worked with clients to assess and develop new insurance business opportunities and operating models through the use of advanced analytics.
“Insurance is a very important market for DataRobot because it’s the foundation upon which the company was built,” said Jeremy Achin, CEO of DataRobot. “Neal is the perfect fit to lead our insurance business and help customers build better underwriting models to understand and predict risk profitability, optimize claims, and improve overall decision making.”
While at Zurich North America, Silbert was Predictive Analytics Vice President for the company’s Predictive Analytics Center of Excellence. He supported Zurich’s Commercial Markets division (CM) in North America, where he worked with senior leadership to define analytics strategies and plans, oversee analytics programs, and drive successful execution of predictive model recommendations.
“I’m excited to join an organization with such a deep history in insurance and commitment to its customers,” said Silbert. “DataRobot is the leader in automated machine learning because of its technology excellence and ability to solve the issues customers face every day. Most large insurers have reached a point where they can no longer keep up with the demand for data science projects with traditional non-automated analytics, while smaller companies need a rapid entry ramp to start developing data science solutions with their business analysts. It’s a privilege to help clients develop strategic, operational, and organizational strategies for leveraging machine learning and AI.”
The DataRobot automated machine learning platform empowers business analytics professionals and data scientists of all skill levels to build and deploy highly accurate machine learning models in a fraction of the time of traditional modeling methods. To learn more about how insurers are using DataRobot to improve claim modeling, optimize marketing, and detect fraud and forecasting claims, please visit https://www.datarobot.com/insurance.
DataRobot offers an automated machine learning platform that empowers users of all skill levels to develop and deploy machine learning and AI faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates every best practice, every safeguard, and every run-time environment to automate data science while maximizing transparency, accuracy, and collaboration, delivering AI applications at scale. With offices across the globe, DataRobot is backed by $225 million in investment from top-tier firms, including New Enterprise Associates, Sapphire Ventures, Meritech, and DFJ. Leading brands including United Airlines, New York Life, LendingTree, Tableau, and hundreds of other customers are using DataRobot to accelerate AI success. For more information, visit www.datarobot.com.