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Makusafe Wearable Tech | Gold Sponsor | Fleming

Makusafe Wearable Tech

Session synopsis (50 words – what is the session about, what are the key takeaways): Workforce wearables can go beyond biometrics and fitness, tracking usable data that’s relevant to employee safety and focused on the environment around an employee, not the employee themselves. This data includes things such as environmental hazards, slips/trips/ergo concerns, location/proximity, and voice reported good-catches, providing 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 hazard remediation to ensure workers safety. Join Gabriel Glynn, COSS to learn: 1. How wearable technology can provide 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. 3. How analytics intelligence can be provided to safety leaders in an easy-to-understand format with actionable advice before incidents happen. 4. Case studies with findings and insights around; process improvements, environmental hazards detected, uncovering harmful human motion, reducing incident frequency and severity by 50-90%, and positively impacting safety culture.
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Makusafe Wearable Tech
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Makusafe Wearable Tech
Session synopsis (50 words – what is the session about, what are the key takeaways): Workforce wearables can go beyond biometrics and fitness, tracking usable data that’s relevant to employee safety and focused on the environment around an employee, not the employee themselves. This data includes things such as environmental hazards, slips/trips/ergo concerns, location/proximity, and voice reported good-catches, providing 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 hazard remediation to ensure workers safety. Join Gabriel Glynn, COSS to learn: 1. How wearable technology can provide 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. 3. How analytics intelligence can be provided to safety leaders in an easy-to-understand format with actionable advice before incidents happen. 4. Case studies with findings and insights around; process improvements, environmental hazards detected, uncovering harmful human motion, reducing incident frequency and severity by 50-90%, and positively impacting safety culture.
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