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Every year, during September — National Suicide Prevention Month — the construction industry will dedicate a week to raising awareness about the unique challenges workers face in construction that lead to suicide and what we can do to prevent it.
Trade professionals increasingly rely on automation, digital tools and continuous training to combat workforce shortages.
Deploying IoT wearables and AI video analytics provides short-staffed EHS teams with continuous visibility, closing operational blind spots and stopping SIFs before they occur.
AI may improve hazard detection and injury prevention, but organizations that rely too heavily on automation could inadvertently weaken the human skills and organizational resilience needed to manage unexpected events.
By combining AI, video analytics, and real-time environmental monitoring, predictive safety systems are giving EHS leaders new tools to identify fall risks before workers are exposed to danger.
Combining predictive AI analytics with inspection history shifts equipment maintenance from reactive emergency repairs to planned, low-risk safety controls.
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