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Silver Spring, MD
National Labor College
The purpose of this conference is to map strategies that anticipate the needs and challenges of our nation's aging workforce and to begin developing approaches that will help workers maintain good health as they age. Construction workers and others who perform taxing physical labor are a special focus of the conference.
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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