Event Details

For decades, Health & Safety (H&S) and Occupational Health & Hygiene (OHH) have been forced to play defense. We rely on post-exposure monitoring, incident reports, and historic data, meaning we often only solve a problem after a worker has been exposed or injured.

The Agentic AI Revolution changes everything. We are moving away from passive software and entering an era of intelligent, autonomous systems capable of predicting hazards before they happen.

But to successfully lead this revolution, H&S professionals cannot treat AI as a “black box” mystery. You need to know how the engine works to trust its steering. This webinar pulls back the curtain on advanced predictive AI. We will look directly under the hood of a hybrid CNN-LSTM architecture, showing you exactly how spatial pattern recognition and temporal memory combine to track cumulative risks like ergonomic strain (MSDs), noise, heat stress, and chemical plumes in real time. This session will arm you with the technical fluency needed to confidently critique AI tools, ask vendors the right questions, and champion a transparent, predictive safety culture in your organization.

Why Participants Should Attend:
AI is no longer a futuristic concept; it is actively reshaping workplace safety. If you want to position yourself at the forefront of the H&S industry, protect your workforce with unprecedented precision, and learn how to critically evaluate AI tech without blindly trusting an algorithm, this high-impact session is a must-attend.

Key Takeaways:

• The Predictive Edge: Discover how agentic and hybrid AI provide a ≥30-minute early warning window for complex, invisible workplace hazards.
• Demystifying the “Black Box”: A transparent, accessible breakdown of how AI “sees” spatial risks (CNN) and “remembers” temporal data (LSTM) to calculate cumulative exposure limits.
• The H&S Smart Buyer’s Playbook: The exact questions you must ask AI vendors regarding mathematical rigor, physics-informed constraints, and eliminating false alarms.

Presenter

Muriel Demarcus is the CEO of Marsham Edge, a Singapore-based technology firm specializing in predictive AI and anomaly detection for major projects. Dually qualified with a Master of Science from Paris Saclay University (Ecole Centrale Paris) and a Master of Law from La Sorbonne, Muriel brings an unparalleled blend of technical, legal, and operational expertise to the safety sector.

With over 30 years of leadership experience directing multi-billion-dollar infrastructure and megaproject delivery, she is uniquely positioned to bridge the gap between mathematical rigor, regulatory compliance, and workforce safety. Ranked #1 for AI and Innovation in Singapore, Muriel is dedicated to moving industries away from reactive “black box” algorithms toward a transparent, highly accountable era of proactive hazard prevention.

Attendees will receive 0.2 CM Points for attending this event