Data management and artificial intelligence in food industry and supply chain

In the food and beverage manufacturing sector, embracing digital transformation presents challenges and unprecedented opportunities. Cyber-physical systems to monitor, analyze, and control manufacturing operations in real time will enable a holistic approach to data management and process optimization to comply with regulatory standards, demand prediction in the food industry, and consumer expectations. Interconnected ecosystems will facilitate real-time data exchange and enable dynamic decision-making optimizing through the combination of various AI predictive models to address the different challenges, such as reducing downtime and optimizing resource utilization. However, what valuable data do I possess? Is the agri-food sector geared up for the new data markets? This session aims to provide plant managers with the knowledge and tools to explore the big data analytics and AI, indentifing new markets for Data. This will foster a data-driven approach to optimize plant performance in the dynamic landscape of the food industry and supply chain.