Smart food safety: implementing AI for risk, compliance and control
Join New Food and Dr Darin Detwiler as he lead an expert discussion on how AI is being implemented in food safety, from predictive risk modelling to real-world compliance systems.
Artificial intelligence is moving quickly from concept to real-world use in food safety, but for many organisations the challenge is no longer understanding its potential, but knowing how to achieve practical implementation of AI in food safety systems.
In this New Food expert discussion, Food Safety Icon Dr Darin Detwiler lead a focused conversation with specialists from regulation, data science and industry, bridging the knowledge gap between microbiology and data science. The panel examined how AI and advanced analytics are being applied to predict risks, prioritise inspections, analyse supplier performance and strengthen traceability, and what it takes to make these systems work in practice.
Many initiatives stall at pilot stage due to challenges such as data readiness, system integration, validation and regulatory alignment. This session moved beyond high-level discussion to explore how AI in food safety is actually deployed, including the systems, data and decisions involved. Through real-world examples and expert insight, the panel will highlight what works, what fails, and how organisations can move from experimentation to operational, risk-based food safety management.
What you will learn:
- Understand how AI in food safety is applied in practice, from predictive risk modelling and inspection prioritisation to actionable data-driven decision-making.
- Identify the data, systems and infrastructure needed to implement AI effectively.
- Explore common challenges in integration, validation and regulatory alignment, and strategies to overcome them.
- Learn how organisations move from pilot projects to operational, AI-driven food safety systems, delivering measurable impact.
Watch on demand >>>
