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 the employee themselves. This data includes environmental hazards, ergonomics, slips/trips, proximity and near-misses, providing a more complete picture of workplace risk. With this data, manufacturing, construction, and industrial organizations can gain real-time, evidence-based insights enabling proactive and preventative hazard remediation, ensuring worker safety and lower workers' compensation claims.
In this presentation, Tom discusses: 1. How wearable technology provides a unique means of gathering relevant EHS data while respecting employee privacy. 2. How machine learning & AI are being used to identify high-risk safety trends that are immediately actionable. 3. How to enhance safety & risk management effectiveness and efficiency, and lessen the burden of COVID contact tracing. 4. Actual use cases from the field in a variety of industrial environments.