This article shares the views of more than 250 global food safety professionals on which new technologies have been the most beneficial for their food safety programs and for the general food safety landscape, as well as their thoughts on possible future changes. 

A recent publication from the Food and Agriculture Organization of the United Nations (FAO) has provided an in-depth review of early warning systems for food safety risks, an explanation of available open access tools, and the potential applications of Big Data and artificial intelligence (AI) in the field.

The use of artificial intelligence (AI) tools like big data and machine learning for antimicrobial resistance (AMR) surveillance in livestock production shows promise for informing AMR mitigation efforts, according to a recent study led by University of Nottingham researchers.

The European Food Safety Authority (EFSA) recently published a report detailing the activities of its Advisory Group on Data during 2022. The aim of the EFSA Advisory Group on Data is to demonstrate the ways in which digitalization of food systems can improve food safety in Europe.

The Food and Agriculture Organization of the United Nations (FAO) and Wageningen University recently held a workshop about early warning tools and systems that can be used to manage imminent and emerging food safety issues. 

The Global Food Safety Initiative (GFSI) has released its first Science and Technology Advisory Group (STAG) Report, which focuses on four themes impacting food safety: “Big Data,” the role of the microbiome, emerging foodborne pathogens, and food system resilience.

With automation and the Industrial Internet of Things (IIoT), it’s now easier than ever to collect data and monitor production—all this in the name of managing food quality and food safety. But, with multiple sites and lines supplying data around the clock, any staff would be all but overwhelmed—without a direction in where to focus their process management efforts.