AI/ML Prompt Engineering for Food Contact

English
  • Authors:
    Kevin C. Kenny
    Henrik Jungclass
  • Level: Entry Level
  • Study time: ~1 Hour
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Course overview
The presentation focuses on Artificial Intelligence (AI) and Machine Learning (ML) in regulatory compliance, particularly in food additive compliance. The course introduces fundamental AI concepts, explores the advancements that have brought AI to the forefront, and discusses various AI tools and their applications in compliance workflows.
  • Video time: ~1 hour

Free glimpse into the course

Course Overview 

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Kevin C. Kenny, J.D., LL.M.

President and CEO, Invenimus
ABOUT Kevin
Kevin is a regulatory attorney who founded two companies while working in Product Safety and Food/Cosmetics Compliance for nearly 30 years. He established cooperations with 50 governments globally and built products and services aimed at simplifying Regulatory Compliance across the Food and Consumer Products supply chain, traveling in 100+ countries and living in eight. His objective is to give back to the food and consumer products industry by providing comprehensive training courses affordable by all in the supply chain.

Henrik Jungclass

Subject Matter Expert in Artificial Intelligence and Machine Learning
ABOUT Henrik
Henrik is a Subject Matter Expert (SME) with 20 years of experience in Packaging Sustainability, Food Contact and the Packaging Supply Chain. His career has spanned FoodChain ID, Decernis, Sunoco, Weidenhammer and Tetra Pak. He holds a PhD in Analytical Chemistry from Phillips University in Marburg, Germany, is a trained Quality Auditor and Manager and a Six Sigma Green Belt. Henrik has also chaired the Food Contact group of the German Paper Converting Association and was an external expert to the German BfR Commission Subgroup on Paper & Board.