In a previous edition of Food Safety Magazine, the authors described in an article titled, "A Future View of AI-Enhanced Biosurveillance and Comprehensive Food Safety Programs,"1 a system of integrated sensors that could be used to further food safety and protect the bottom-line aspects of brand protection. One of the prominent features discussed was the fact that sensor arrays generate massive amounts and complexities of data.
To make data useful to the end user, it must be validated (meaning characterized by veracity), aggregated, and analyzed. Artificial Intelligence (AI) becomes essential because of the volume, variety, and velocity of the data. For AI to work properly, the algorithm developers need to work closely with the analysts using the systems to extract insight from databases and the subject matter experts that can validate the machine learning.