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Serena H. Huang
Serena H. Huang

Serena H. Huang

Founder
Data With Serena
Bio

Dr. Serena H. Huang is a people analytics and AI strategy leader known for applying data science to workforce strategy, employee experience, and organizational performance. She previously served as Global Head of People Analytics and HR Technology at PayPal and has held analytics and transformation roles at organizations including GE, Kraft Heinz, and Koch Industries. She is the founder of Data With Serena, where she advises organizations on using analytics and AI to drive better talent and business decisions. Dr. Huang is the author of The Inclusion Equation: Leveraging Data & AI for Organizational Diversity and Well-Being and a frequent keynote speaker on people analytics, responsible AI, and the future of work.


The Missing Sensor in Operations: Using AI to Turn Well-Being Data into Predictive Safety Intelligence

Organizations monitor machines, assets, and operational processes in real time, yet the most variable component in any system, the human, is often the least measured. This “missing sensor” creates a critical blind spot in safety management, where fatigue, burnout, and disengagement can increase operational risk long before incidents occur.

This session explores how AI and people analytics can break down long-standing data silos by integrating workforce well-being signals with operational and safety data. Drawing on Dr. Serena Huang’s experience leading people analytics in Fortune 100 organizations and insights from her book The Inclusion Equation: Leveraging Data & AI for Organizational Diversity and Well-Being, the presentation demonstrates how combining traditionally separate datasets: shift schedules, workload patterns, employee surveys, and incident records, can reveal early human risk indicators.

Using AI to analyze these integrated data sources, organizations can surface patterns linking workforce conditions to safety outcomes and identify leading indicators that traditional safety reporting misses. This approach enables leaders to move beyond reactive incident analysis toward predictive safety intelligence.

Attendees will learn practical approaches for integrating people and operational datasets, identifying meaningful well-being signals, and applying AI to uncover patterns that help predict and reduce safety incidents. The result is a new frontier in operational analytics where workforce well-being becomes a measurable and actionable input for managing operational risk.

Professional / Leadership
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