Data Analysis with ChatGPT for Food Safety Management and Regulatory Compliance

  • Authors:
    Andrew (Pat) Waldo
  • Level: Advanced
  • Study time: ~1.5 Hours
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Course overview
This course teaches food industry professionals to analyze food safety and regulatory data using ChatGPT and large language models. Participants will work with real-world datasets (e.g., RASFF, FDA IRR, and recall data) to learn data cleaning, analysis, visualization, and AI-driven risk decision-making. Designed for those in quality assurance, compliance, regulatory affairs, and supply chain risk management.

  • Video time: ~1.5 hours

Free glimpse into the course

Course Overview 

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Andrew B. (Pat) Waldo

Founder and CEO of Ariel Research Corporation and Decernis
Andrew (Pat) Waldo was a co-founder and CEO of Decernis (2003 – 2020). At Decernis Mr. Waldo expanded the company internationally, working with global manufacturers in the development of improved compliance management systems for food, chemical and consumer products. In 2019 Mr. Waldo completed the acquisition of the company by Paine Schwartz, a private equity firm, and FoodChain ID. Prior to Decernis, Mr. Waldo was President of Ariel Research Corporation, which he founded in 1989 in the area of chemical control, later acquired in 2002 by Eastman Chemical Co.

Mr. Waldo has led the integration with enterprise systems for global compliance for material acceptance and supply chain management used by global manufacturers. He also led the development of multi-lingual big data and AI systems to identify client risks and key events. He has authored of a number of patents in this area. He developed the International Chemical Regulatory Monitoring System that was a finalist of the Computerworld-Smithsonian Institution Award for Innovation in Environment, Energy, and Agriculture.

Yong Q. Zhou 

Subject Matter Expert in Artificial Intelligence and Machine Learning
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