The Focused Integration of Data for Early Signals (FIDES) is an AI web application designed to fuse multiple streams of data to predict, monitor, and identify food system disruptions and adverse food events.
A wide range of natural or manmade events, including natural disasters, foodborne illness outbreaks, political instability, and market fluctuations, may disrupt supply chains. While data exists to monitor these risk factors, optimal use of this information by companies is hindered by the sheer amount of data that must be reviewed. FIDES is a curated solution for finding signals within vast quantities of data sources and systems.
Originally developed by the Food Protection and Defense Institute (FPDI) with support from both the Food and Drug Administration and the Department of Homeland Security, FIDES is now commercially available. FIDES performs “horizon scanning” of potential food system disruptions in support of food safety and protection efforts. The FIDES web application fuses multiple streams of data from disparate sources and displays information in the form of an online dashboard where users browse, search, and layer dynamic and reference data sets related to food system disruption events. Examples of data currently included in FIDES are import refusals, global disasters, animal health alerts, food defense incidents, food safety incidents, import data, price alerts, and reference data on food production worldwide.