Identifying and halting foodborne illness quickly takes a 360-degree approach, with restaurants looking both internally and externally for signs of trouble. Chick-fil-A recently unveiled a system that uses social media and artificial intelligence (AI) to identify such threats. Venture Beat reports that the brand is using algorithms to scan social media sites for potential food safety problems at its 2,400 restaurants across 47 states. Every 10 minutes, the AI framework reviews data from 10 social media platforms, then scans it for 500 different terms, ranging from “food poisoning” to “nausea”, that can provide clues to a food safety issue at a restaurant. The terms are also reviewed by AWS Comprehend, Amazon’s natural language processing service, for sentiment and legitimacy. Managers are alerted to problems via push notifications and can contact customers directly via social media to investigate the issues. To date, the brand reports a 78 percent accuracy rate for the system.
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