Food safety professionals are inundated with data from audits, analytical testing, supplier assessments, customer complaints, corrective and preventive action programs (CAPAs), production systems, regulatory alerts, and many other sources. Yet despite unprecedented visibility, organizational responses to risk often remain reactive because critical signals are obscured by data volume, fragmented systems, and ineffective prioritization.

This webinar explores how data integration, advanced analytics, and digital technologies can help transform disparate information into meaningful risk intelligence. It examines how the convergence of weak signals across multiple data streams can reveal emerging food safety risks earlier, enabling more effective, risk-based thinking and more targeted mitigation of potential hazards before they escalate into incidents.

Attendees will gain practical insights into the key considerations for developing a framework that consolidates the right combination of risk exposure and risk-management data into actionable intelligence. By moving beyond traditional compliance reporting toward data-driven risk management, organizations can identify emerging threats earlier; focus resources where they deliver the greatest value; make faster, evidence-based decisions; and ultimately reduce the likelihood and impact of food safety incidents.

Speaker:

Moderator: Adrienne Blume, Editorial Director, Food Safety Magazine

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