Name
Work Smarter and Safer: 3 AI-Powered Metrics Your Organization Can Use Today
Date & Time
Wednesday, September 20, 2023, 8:30 AM - 9:00 AM
Description

Imagine if you had a tool that works 24/7 to organize free text from all of your pre-task plans and observations to uncover far more than just the hazard category? What if that tool was able to pinpoint areas of risk you never knew existed, giving you the insight you need to bring more people home safe? Join this interactive session with Barry Nelson, CEO at FactorLab, and Lane Smith, area safety manager at DPR Construction, to hear how artificial intelligence (AI) is revolutionizing the way we approach project safety. You will discover how AI and natural language processing (NLP) allows us to analyze language to evaluate the quality of data shared by workers and the associated impact on leadership and ultimately incidents. Find out how DPR deployed AI to unlock insights into the true quality of their daily planning efforts by studying 35,000-plus video conversations over a four-year period. The construction company was able to identify previously hidden opportunities and deepen their understanding of where and how to focus their safety response. DPR achieved—and sustained—more than 60% reduction in recordable incident rate during the same time period. Using data visualizations and thousands of data points, Barry and Lane will explore how this innovative approach allows safety professionals to study the frequency at which high-hazard topics are discussed. More importantly, they will show how to use these advanced metrics to create a benchmark of stronger engagement and safety performance. By the end of this presentation, attendees will learn how to use AI and NLP to build a robust safety culture that can proactively identify and eliminate risks.

Location Name
CANARY 3-4
Full Address
Orlando World Center Marriott
8701 World Center Drive
Orlando, FL 32821
United States
Short Description

You will discover how AI and natural language processing (NLP) allows us to analyze language to evaluate the quality of data shared by workers and the associated impact on leadership and ultimately incidents.