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Category Archives: Machine Learning
Harnessing the Process Digital Twin: Building Live Operating Models for Foresight, Control, and Safer Work
Most organizations are still managing safety and operational risk by looking in the rearview mirror. A Process Digital Twin gives leaders a way to see risk forming early enough to act.
In our new article, “Harnessing the Process Digital Twin: Building Live Operating Models for Foresight, Control, and Safer Work,” Emmanuel Winful, CSP, MPH, MS and I explore how digital twins can move from concept to practical operational control.
Emmanuel was a great collaborator on this work and brought strong technical depth to the discussion.
The article covers where to start, what data matters, how to avoid false confidence, and why validation, MOC, cybersecurity, and governance cannot be afterthoughts.
The future of safety will not be built on better dashboards alone. Continue reading
Posted in AI, Artificial Intelligence, Digital Twin, Innovation, Machine Learning, Uncategorized
Tagged Digital Twin for Hazard Identification, Digital Twin Technology, Digital Twins in EHS, EHS Management Systems, Industrial Safety Technology, Lockout Tagout Digital Twin, LOTO Training Simulation, Operational Risk Management, Predictive Safety Management, Process Digital Twin
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Cyber-Physical Risk in the Age of AI: How Safety Professionals Help Directors Make Better Operational Technology Investment Decisions – Part 4
As the final article in this four-part series, Fay Feeney and I bring the conversation into the boardroom. Operational technology is no longer just an engineering concern—it is a governance test. As AI-enabled assets reshape industrial operations, directors are approving new risk profiles, resilience assumptions, and value-creation models. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, enterprise risk management, Leadership, Machine Learning, Sustainability Leadership
Tagged AI, AI operational technology risk, AIOT Resilience Index, Artificial Intelligence, board oversight cybersecurity, business, cyber physical risk management, cyber-physical risk management, enterprise risk management OT, industrial cyber resilience, Leadership, operational technology governance, OT capital investment risk, OT cyber risk, safety professionals and cybersecurity, technology
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Seeing Risk Before It Hurts: An Example of How Predictive Analytics Are Redefining Safety
Most safety systems are designed to explain injuries after they happen—not to prevent them while risk is forming. What if EHS leaders could see danger emerging in real time, understand why it’s happening, and intervene before someone gets hurt? This article outlines a bold predictive safety concept that uses AI, computer vision, and causal analytics to challenge traditional thinking about leading indicators and redefine what proactive risk management in manufacturing could look like. Continue reading
Posted in AI, Artificial Intelligence, EHS Management, Injury Prevention, Machine Learning, psychological-safety
Tagged AI, AI in EHS, Artificial Intelligence, computer vision safety, leading indicators safety, manufacturing safety innovation, occupational injury prevention, predictive safety analytics, proactive safety management, real-time risk management, safety analytics and AI, structural equation modeling safety, technology
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Harnessing AI to Revolutionize EHS Management: A Vision for the Future
“The integration of Artificial Intelligence (AI) into business processes has created a paradigm shift in how organizations approach decision-making, efficiency, and now, employee safety. In the realm of Environmental, Health and Safety (EHS) performance, AI’s potential is especially transformative, due … Continue reading
Posted in Artificial Intelligence, EHS Management, Ethics, Machine Learning
Tagged AI, Artificial Intelligence, business, EHS, ehs-leadership, news, technology, workforce-of-the-future
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Is EHS Verging on Disruption?
If you’re in EHS Cop mode your job is about to be disrupted! A convergence of technologies is occurring that will have a profound impact on the future of our workplaces as EHS professionals and employees. Today I want to focus on several … Continue reading
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