As the world around us becomes more and more connected and data-driven, companies have the potential to harness valuable information to benefit their businesses and workers. Workforce wearables can go beyond biometrics and fitness, tracking useable data that’s relevant to employee safety and focused on the environment around an employee, not just the employee themselves. This data includes: environmental hazards; slips, trips and falls; ergonomics; location, proximity and contact tracing; and voice-reported good catches. These can provide a more complete picture of workplace risk. With this data, manufacturers, construction, and industrial organizations can better understand trends and gain real-time insights, enabling proactive and preventative hazard remediation ensuring their workers safety. This session will discuss how wearable safety technology, machine learning, AI and cloud computing are helping safety leaders gain valuable insight into understanding workplace risks, keeping workers safe, and mitigating hazards before incidents and claims occur. Plastipak Packaging, a $2.9 billion provider of packaging and recycling solutions, will offer insights gained from its deployment of wearables and how the data gathered from wearables has led to: work changes and process improvements, detection of environmental hazards, uncovering harmful human motion, and positively impacting safety culture while respecting employee privacy.

Key Takeaways:

• How wearable technology can provide a means of gathering relevant EHS leading indicator data while respecting employee privacy.
• How machine learning, cloud computing and AI can be used to identify high-risk safety trends.
• How analytics intelligence can be provided to safety leaders in an easy-to-understand format with actionable advice before incidents happen.
• How to calculate ROI from technology investments.