Food safety and consumer health are of utmost importance for the food industry. But even with so many controls in place, foodborne illness can still occur. New approaches are required to enable companies to take a more preventative approach to food safety. So why are companies turning to AI to solve this challenge?
The US based NCI created a method to estimate the usual or habitual amount of food, or nutrients eaten by populations, known as the NCI method.
Creme Global Head of Data Modelling and Statistics, John O’Brien, offered his insights for the discussion paper ‘AI & Predictive Analytics for Food Risk Prevention’, published as part of the EU-funded digital transformation initiative called Big Data Grapes.