Lead Application Developer, ADP, Georgia, United States

Title of the Talk :
AI-Driven Decision Support in HR Systems : Privacy-Preserving Intelligence at Scale

Abstract of the Talk:
Organizations worldwide are under pressure to manage payroll, benefits, and workforce operations with both precision and privacy. Traditional systems often struggle to balance efficiency with the need to safeguard sensitive employee data. In this talk, we will explore how emerging AI techniques—such as federated learning, synthetic data generation, and advanced time-series forecasting—are transforming HR and payroll from transactional processes into strategic intelligence platforms. Drawing from real-world implementations and research, I will discuss how these innovations enable enterprises to forecast labor costs, predict benefits utilization, and proactively detect compliance risks, all while protecting confidentiality. Attendees will gain insight into how privacy-preserving AI frameworks can be applied in regulated enterprise environments, unlocking value from workforce data without compromising trust.

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