AI-Powered Risk Intelligence in Food Safety: From Prediction to Policy and Practice

This paper examines how Artificial Intelligence is accelerating the transition from reactive food safety practices to resilient, intelligence-driven systems.

It brings together insights from industry leaders and research stakeholders to show how AI is being applied in real operational contexts — from early hazard detection and predictive analytics to supply chain transparency and data harmonisation.

What's Inside:

• ✓ Industry perspectives from Nestlé, Givaudan, TraceGains, Puratos, SGS, and Athena Research Center
• ✓ Real-world AI applications in food safety monitoring and risk assessment
• ✓ Data challenges, trust factors, and implementation strategies
• ✓ Emerging technologies shaping the future of risk intelligence