Predict and Prevent Workplace Injuries

Come see first-hand how our collaborative team of safety experts and the world’s leading artificial intelligence and predictive modeling researchers – including members from the group that helped build the Watson super-computer that beat Ken Jennings and Brad Rutter on Jeopardy – are designing cutting edge analytics tools to predict workplace injuries so they can be prevented. This presentation will outline the predictive methodologies we have developed and their real-world application across diverse worksites such as construction, heavy manufacturing, mining, and oil and gas, among others.

While this is a complex topic, we will break it down into its simplest elements using everyday language and real-world analogies. In fact, many of the insights from this analysis are very intuitive and can have an immediate impact on your safety performance and overall business.

Overview of the Presentation:

1. Overview of Predictive Analytics
   1. Where are we now in the safety profession?
   2. How predictive modeling helps achieve safety results
   3. What fuels predictive analytics?
2. Detailed review of predictive models
   1. Comparison of existing predictive models
   2. Practical insights from safety predictive model – four safety truths
3. How companies predict and prevent
   1. Case studies
4. Summary and Recommendations

Learning Outcomes:

1.  Identify the limitations of existing methodology to review data
2. Discuss practical ways to introduce and utilize predictive model findings
3. Review leading metrics that correlate with increased incident rates