Key Food Safety Trends for 2024:
Top-10 emerging risks that AI models forecast & Past Outbreak Use Cases
Tuesday, April 30th, 2024
19:00 EEST | 12:00 EDT | 11:00 CDT | 09:00 PDT
For Chief Officers, VPs, Directors, heads, managers of food safety, quality and regulatory in global FMCG manufacturers.
With more and more recalls announced every other day, and the food safety threat landscape always expanding, it is more pressing than ever that food & beverage companies of all sizes worldwide have a complete overview of all risks to their supply chain.
However, with unforeseen disruptions in their global supply chains due to geopolitical and environmental factors, this might not be enough. Food companies are increasingly asking for a way to be able to anticipate unexpected risks in their supply chain.
AI and Predictive analytics have been hailed for the application in food safety, especially in empowering food & beverage companies to enhance their risk mitigation efforts through accurate forecasting on future risks.
How can AI and Predictive analytics support food & beverage companies in boosting proactive measures by providing early warning signs?
FOODAKAI, the AI-powered and predictive analytics platform generated their 2024 forecasts for emerging trends in 10 food safety incidents globally. Among others, the platform forecasted:
• An increasing trend of pesticide residues in Fat & Oil products.
• A higher likelihood of Food Fraud incidents in Meat & Meat products
• A trending increase of 30% in the number of incidents in Confectionary products, owing to increased biological hazards (Salmonella spp. and Listeria monocytogenes)
• An increased risk of pesticide use for various food product categories including Herbs & Spices, Fats & Oils, Cocoa, Coffee & Tea, and Confectionary.
In this live, online panel discussion, Prof. Chris Elliott invites Giannis Stoitsis, CTO of Agroknow and FOODAKAI, the architect behind these AI models and industry leader, Sara Mortimore, to reflect upon these forecasts as well as practical use cases regarding Outbreaks in 2023 where with the platform’s early warning signs the outbreaks could have been anticipated. A conversation will then follow about ways in which such AI-powered predictions can support strategic and operational prevention decisions in safety and quality.
TOPICS:
This panel session is aiming to cover the following questions:
- • Which are the key food safety trends that FOODAKAI’s forecasted for 2024?
• Which are the 2024 incident & hazard forecasts for a specific industry sector like Meat products?
• What are some examples of food safety outbreaks where there have been early warning signs by FOODAKAI?
• How are those predictions being calculated and how can we measure their accuracy?
• What do food safety & quality leaders think about these predictions?
• Which critical strategic & operational decisions could be informed by such predictions?
• What would make industry leaders trust more such AI-powered tools?
Plus, any other questions that will be posed by the audience in real time during the Q&A.
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SPEAKERS:
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.
Sara Mortimore is a seasoned food scientist and devoted food safety advocate with over 40 years of experience. As the former Global VP of Food Safety at Walmart Inc. from 2019 to 2024, Sara spearheaded a significant transformation of the company's food safety management system, covering 10,500+ stores, ecommerce, and the entire supply chain. Prior to her tenure at Walmart, Sara held key positions at Land O’Lakes, Inc., including Vice President of Product Safety, Quality, and Regulatory Affairs, where she safeguarded the integrity of renowned agricultural and food brands. Beginning her career at Glaxo SmithKline and later transitioning through roles at Grand Metropolitan Foods, Sara has amassed a wealth of experience in global assignments centered on food safety and quality. Beyond her corporate leadership roles, Sara is a co-author of influential books on HACCP and food safety management and has made notable contributions to industry committees and editorial boards.
Giannis Stoitsis is a business partner and the CTO of Agroknow, the food safety intelligence company that predicts risks to help inform prevention. He is the creator of FOODAKAI, the food risk intelligence platform that has been described as “The Ferrari of food risk intelligence solutions” and is being used by global food manufacturers like the Coca-Cola Company, Unilever, McDonald’s, Conagra Brands, and the Chinese Yili Group. Giannis is an Electronics & Computer Engineer that holds an MSc and a PhD on Biomedical Informatics. During the past decade, he has led the design, development and deployment of large scale data platforms for organizations such as Michigan State University, UNESCO, and FAO of the UN. He is frequently speaking about the application of AI & predictive analytics in food risk prevention, and has created the video series “Explaining Food Safety Predictions for Busy People”.
