The role of artificial intelligence (AI) in food has been on the rise in the past decade, with mostly a practical focus on improving convenience and increasing speed, particularly for larger food and beverage MNCs. But as algorithms mature and data sources expand, everyone is looking to AI to deliver much more in order to live up to expectations, in addition to becoming much more accessible to not only large food firms but also small and medium businesses. Here are four of the most crucial food industry applications that AI is moving towards in order to make a more significant impact – and make its presence more prominent – in the sector. To this end, Ganchoudury believes that AI holds the answer to reducing these issues from the top down. “AI can understand what consumer demand is for a product in real time, as well as the specific demands and nuances in each market,” he said.