How to Predict and Prevent Workplace Injuries: The Past, Present, and Future
Learn how companies are using advanced analytics on their safety data to predict and prevent workplace injuries. Griffin Schultz, General Manager of Predictive Solutions Corporation (formerly DBO2) and Dr. Raghu Arunachalam, Global Director at Industrial Scientific Corporation, review the past -- how research led to the design and testing of safety prediction models; present -- how the most recently produced predictive model has been used to predict and prevent injuries over the last year; and the future -- where they see workplace injury prediction and prevention going in the next 3 to 5 years.
Prior to joining Industrial Scientific, Arunachalam was a Research Faculty member at Carnegie Mellon University's Institute for Software Research. There, he spent time developing artificial intelligence algorithms for real-world applications. He has over 15 years of experience in using advanced and predictive analytics to solve business problems. Arunachalam's focus at Industrial Scientific is to apply these techniques to save lives in the workplace. He holds a Ph.D. from the University of Warwick, United Kingdom.
Schultz is responsible for all aspects of the Predictive Solutions Corporation business, a wholly owned subsidiary of Industrial Scientific Corporation. With a vision of ending death on the job by the end of this century, Predictive Solutions is focused on its strategy of employing advanced analytics to predict workplace injuries, so that they can be prevented. In addition to his experience in safety, Schultz has extensive expertise in leveraging technology and software across business functions to drive game-changing results. Schultz earned an MBA from The Wharton School at The University of Pennsylvania and resides near the company headquarters just outside Pittsburgh, Pennsylvania.
Kyle Morrison covers occupational safety and workplace safety regulation for the magazine. He moderated the session.