Slaven has spent all 20 years of his professional career in the automotive and telematics industry, in various strategic and technology roles. Currently, he leads the Analytics team at SmartDrive Systems, a video telematics leader focused on improving safety of commercial drivers. In his current role, Slaven works closely with product-generated data, which includes over 100 million 20+ second exception videos that were reviewed by expert analysts for risky situations and a continuous stream of sensor data (including the output from active safety systems) that is being analyzed in real-time by algorithms running on tens of thousands of telematics devices. He designs and validates advanced analytical algorithms that focus on risk identification, from real-time embedded algorithms to predictive models that correlate drivers' measured risk to actual collisions.
Prior to joining SmartDrive, Slaven lead several early analytics initiatives at General Motors focused on GM's core business of profitably selling vehicles. His most significant achievement was the design of a profitability analysis system that to this date allows financial analysts to analyze profit and its components at an unprecedented level of detail and guide better production, inventory, pricing and incentive decisions. Slaven also worked as an internal business consultant at GM, consulting to various functions and business units, including OnStar. Slaven holds an MBA degree from MIT Sloan School of Management and dual BS degrees in Electrical and Mechanical Engineering from Kettering University (formerly General Motors Institute).