Summary

Résumé de la présentation

Incident rates in the construction industry have remained stagnant for years. The industry also bears a disproportionate share of workplace fatalities of any industry. It's clear that a new approach to managing safety is required.

From fraud prevention to data security to customized searches and movie recommendations, AI is transforming our daily lives. AI is also bringing staggering change to the way other industries execute - going beyond digitization of traditional processes to digital transformation, or the creation of entirely new and more efficient ways of doing business.

Predictive-Based Safety (PBS) is at the intersection of incident and injury prevention and AI, it's the beach head that AI is building in the construction industry. Forward thinking contractors who have been gathering consistent safety data are starting to use AI to build models aimed at helping them identify incidents before they transpire. Moreover, their models provide guidance on what they can do to prevent them. This session will present a background on how AI has transformed various industries and then present specific case studies of its use in construction and capital projects for safety.  

Learning Objectives:

  • What Predictive-Based Safety (PBS) is and how it differs from traditional safety programs
  • The types of AI models and metrics that drive PBS
  • Benefits of deploying a PBS program
  • Steps you can take to deploy PBS

Who's Presenting

Qui présente

Tim Gattie

(Moderator)

VP of Industry Strategy, Smartvid.io

VP of Industry Strategy, Smartvid.io

Biographie

Tim is VP of Industry Strategy at Smartvid.io. He has 20 years of construction industry experience working for regional, national and international general contractors in operational roles ranging from Field Engineer to Project Director. Tim is also credited with the development of a data collection, analysis and prediction system called Construction Analytics. He is passionate about using technology as a tool to improve the way construction projects are delivered and is eager to share his story with others in the industry. Gattie graduated from the University of Pittsburgh with a Bachelors of Science in Civil and Environmental Engineering and is a Registered Professional Engineer in Arizona, California and Utah.

Incident rates in the construction industry have remained stagnant for years. The industry also bears a disproportionate share of workplace fatalities of any industry. It's clear that a new approach to managing safety is required.

From fraud prevention to data security to customized searches and movie recommendations, AI is transforming our daily lives. AI is also bringing staggering change to the way other industries execute - going beyond digitization of traditional processes to digital transformation, or the creation of entirely new and more efficient ways of doing business.

Predictive-Based Safety (PBS) is at the intersection of incident and injury prevention and AI, it's the beach head that AI is building in the construction industry. Forward thinking contractors who have been gathering consistent safety data are starting to use AI to build models aimed at helping them identify incidents before they transpire. Moreover, their models provide guidance on what they can do to prevent them. This session will present a background on how AI has transformed various industries and then present specific case studies of its use in construction and capital projects for safety.  

Learning Objectives:

  • What Predictive-Based Safety (PBS) is and how it differs from traditional safety programs
  • The types of AI models and metrics that drive PBS
  • Benefits of deploying a PBS program
  • Steps you can take to deploy PBS

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