NSC expo
Subscribe or Register
View Cart  

Earn recertification points from the Board of Certified Safety Professionals by taking a quiz about this issue.

What's Your Opinion?

Is “zero injuries” a realistic goal?

Take the poll and add your comment.

Vote Results

Stop Investigating Workplace Injuries – Start Preventing Them Using Predictive Analytics

March 1, 2012

Tags
  • / Print
  • Reprints
  • Text Size:
    A A
Sign up for notifications
Would you like to be notified in e-mail about the next Safety+Health webinar? Join the mailing list here.

Watch the archived webinar below

In the March 28 webinar, Predictive Solutions shared key insights from its white paper titled “Predictive Analytics in Workplace Safety: Four Safety Truths that Reduce Workplace Injuries”.

Presenters reviewed how cutting edge advanced and predictive analytics – currently used in other industries and business functions such as biotechnology and mapping of the genome, banking and market research, and internet search and advertising – are being employed in the field of workplace injury prevention.

Also shared were results of research by Predictive Solutions Corporation and Carnegie Mellon University’s (CMU) Language Technologies Institute – the same CMU department that helped develop the Watson supercomputer that originally gained fame by winning on the game show Jeopardy and has since been applied to helping doctors diagnose rare and complicated diseases. The result of this research are predictive models for use in safety software systems deployed to support safety risk management programs.

The webinar reviewed how the models were built, tested, and then applied in safety software systems, and covered real-world case examples of companies who currently use these advanced and predictive analytics to improve their injury prevention programs.

Presenters

Raghu Arunachalam, Ph.D., Director, Emerging Technologies, Industrial Scientific Corporation

Prior to joining Industrial Scientific, Raghu 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. Raghu’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.

Griffin Schultz, General Manager, Predictive Solutions Corporation

Griffin 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, Griffin has extensive expertise in leveraging technology and software across business functions to drive game-changing results. Griffin earned an MBA from The Wharton School at The University of Pennsylvania and resides near the company headquarters just outside Pittsburgh, Pennsylvania. He can be reached at gschultz@predictivesolutions.com or 412.490.1996.

Kyle Morrison, Senior Associate Editor, Safety+Health magazine, National Safety Council

Kyle covers occupational safety and workplace safety regulation for the magazine. He moderated the session.

Post a comment to this article

Safety+Health welcomes comments that promote respectful dialogue. Please stay on topic. Comments that contain personal attacks, profanity or abusive language – or those aggressively promoting products or services – will be removed. We reserve the right to determine which comments violate our comment policy.