Who is this for:
• Food Safety Directors, VPs, Managers
• Quality & Assessment Professionals
• Food Safety Professionals
Food Safety Challenge
In today's ever-changing food safety threat landscape, ensuring consumer health through safe and quality products is paramount for food and beverage companies worldwide.
With the rising number of recalls due to emerging and novel food risks, geopolitical unrest, and climate change’s impact leading to supply chain disruptions, the traditional reactive methods of addressing food safety incidents are no longer enough.
How this Webinar Can Help
When it comes to knowing where risks lie for their supply chain, food & companies struggle to have a complete overview of emerging and new risks to their supply chains, leaving them vulnerable to food safety incidents. They lack access to continuously updated and comprehensive food risk intelligence across the supply chain to anticipate future risks.
Food & Beverage companies increasingly ask for a solution that would allow them to have accurate insights into emerging risks and hazards for their supply chain to make more informed decisions about their strategy and lab test planning.
How can AI-powered forecasting help shield your supply chain?
More specifically our agenda will be shaped as follows:
1. An analysis of how forecasting models work.
2. Deploying multi-factor AI models to enhance food risk forecasting and prevention for more robust results.
3. Practical & Real Use Cases on how Forecasting could have helped F&B companies be prepared for past outbreaks:
• Norovirus in Oysters, late 2023
• Listeria Monocytogenes in Enoki Mushrooms, early 2023
• Lead Poisoning in Applesauce, late 2023
Plus, any other questions that will be posed by the audience in real-time during the Q&A.
Chris Elliott is currently Professor of Food Safety and founder of the Institute for Global Food Security at Queen’s University Belfast. He served as Pro Vice-Chancellor responsible for the Medical and Life Sciences Faculty between 2015 and 2018. He has published more than 390 peer review articles, many of them relating to the detection and control of agriculture, food, and environmental related contaminants. His main research interests are in the development of innovative techniques to provide early warning of toxin threats across complex food supply systems. Protecting the integrity of the food supply chain from fraud is also a key research topic and Chris led the independent review of Britain’s food system following the 2013 horsemeat scandal. He currently coordinates a flagship Horizon2020 project involving 16 European and 17 Chinese partners on food safety and also coordinates a European Institute of Innovation and Technology flagship project or organic food.
Ilias Antonopoulos is a Machine Learning Engineer at Agroknow, developing AI models that power FOODAKAI's predictive capabilities, while at the same time ensuring that every such system runs smoothly and reliably for the end user. With a Bachelor's degree in Mathematics, a Master's degree in Data Science and 6+ years of working experience in the field, he is committed to building predictive models around food safety that not only work, but also provide the maximum value to the food safety professionals.