In the emergency services world, effective resource allocation is synonymous with risk management. With nearly 8.2 million residents and over 1.6 million fire, non-fire, and medical incidents per year, the Fire Department of New York (FDNY) is no stranger to this sentiment. By leveraging the power of big data analytics, raising the level of technical sophistication and literacy, and bringing together stakeholders, FDNY has developed FireCast, a data-driven predictive algorithm that targets buildings of the highest risk of fire across its inspection-qualified portfolio of 300,000 buildings. In this session, Assistant Commissioner Jeff Roth and Director of Analytics Jeff Chen present a case study of launching and growing a big data-driven, risk mitigation enterprise within the largest municipal fire department in the United States.
New York City Fire Department
Jeff Roth is Assistant Commissioner at the New York City Fire Department (FDNY). He oversees and supports various initiatives and policies within the Department, including the newly established FDNY Analytics Unit, and the Risk Based Inspection System (RBIS) project. RBIS is a multiphase project that enables the Department to identify buildings most at risk for fire and prioritizes those for fire inspections. Jeff has been with the FDNY since June 2010. Additionally, Jeff is the Battalion Executive Officer for the 1-258 Field Artillery in Jamaica, Queens of the New York Army National Guard, holding the rank of major.