The Nutrition Industry's Use of Big Data and Artificial Intelligence

Abstract

Impacted by globalisation, technological breakthroughs, and ever-changing customer expectations, the food business has experienced dramatic transformations over the past several decades. The use of big data and artificial intelligence (AI) has been more important in enhancing food marketing, production, and safety. The food business is ready to accept more changes and developmental chances as AI and big data analytics continue to evolve. To better serve customers, increase product quality, and drive the food sector towards a smarter, more sustainable future, more and more businesses will use artificial intelligence and big data. This paper explores the ways artificial intelligence and big data are being used in the food industry. It looks at how these technologies are influencing production, quality, safety, risk management, and customer insights. Additionally, the food business is confronted with future problems in smart production and sustainable development, as well as new technologies like smart agriculture, robotic farming, drones, 3D printing, and digital twins, which have emerged with the advent of business 4.0 and its application to the food sector. This paper provides an overview of where artificial intelligence and big data are at in the food business, outlines the problems that have been solved, and explains the present situation. Finally, it shows how the food sector is going to evolve in the future.