We present a new approach to more deeply understand the mind of consumers with respect to food products, using a combination of artificial intelligence to provide the ideas, Mind Genomics to understand how consumers respond to these ideas, uncovering Mind-Sets, and statistical assignment of new people to these newly uncovered Mind-Sets using the PVI, personal viewpoint identifier. We illustrate the approach in detail with yogurt, and then present data from other studies about yogurt, milk, and cheese, to reveal new knowledge about emergent Mind-Sets for conventional dairy products. The key benefits of the approach are the scope (many ideas from artificial intelligence), discipline (experimental design to uncover what is important), actionability findings, mind-types, speed (within 2 or 3 days), and cost (low because of automation).

Artificial Intelligence (AI) is now portrayed as a solution provider. Once considered to be an esoteric topic for being too math-heavy, AI has now become a household term with its presence in advertisements for commonly used items such as smartphones. AI devices fall under two fundamental categories – applied and general. Applied AI which is common in nature refers to systems designed to intelligently trade stocks and shares; whereas generalized AI, less common in nature, refers to systems that are capable of handling any task. Generalized AI, an emerging field, aims at functioning as a human with an ability to deal with complex situations with analytical thinking and depth of knowledge so that it can deal with diverse topics.