Kitchen Disruption: Better Food Through Artificial Intelligence - Forbes

Looking for that perfect recipe, or a new flavor combination that delights the senses?

Increasingly, stakeholders in the food industry are embracing artificial intelligence to understand better the dynamics of flavor, aroma, and other factors that go into making a food product a success.

Earlier in the year, IBM became a surprise entrant to the food sector, announcing a partnership with seasonings maker McCormick to "explore flavor territories more quickly and efficiently using AI to learn and predict new flavor combinations" by collecting data from millions of data points.

This partnership shows how technology is being used to disrupt the food industry by helping develop new products and respond to consumer preferences and offer improved nutrition and flavor.

Wide range of ingredients.

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Food analysts said that the technology could help "digitize existing data" from human taste panels and speed up the process for developing new food products.

The typical food product development process is long, and there are a lot of holes where there is no clear feedback on how the market reacts, so this kind of technology can help.

Researchers at the Massachusetts Institute of Technology (MIT) explained how AI could be useful in determining optimal growing conditions by growing basil with supercharged flavor and hope to adapt that for other products.

AI could enable us to utilize vast datasets of detailed agricultural information for the improvement of our food crops, faster than ever before. Better standards and data collection are essential to enabling innovations in food.

A lot of people are applying machine learning around flavor and nutrition in recipe development. This could take off even more with better data sharing and standards to map flavors and aromas, opening up new possibilities for "personalized" foods and recipes that offer better flavor, nutrition, and stainability. 

Personalized food on the individual level is a lofty goal. To be done well, it would require large amounts of personal data, much of which might be complicated by questions of privacy and security. It is more likely, in the foreseeable future, that AI would be used to predict broad trends in consumer trends and tastes.

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https://www.forbes.com/sites/ilkerkoksal/2019/08/03/kitchen-disruption-better-food-through-artificial-intelligence/

2019-08-03 10:27:28Z
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