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Big Data – The New Chef in Town

Oct 26, 2017

Food is emotion, food is life, food is an experience, and it means many things to different people. For a very long time, the taste and delicacy of food items were thought to be largely dependent on the human touch. It takes years and years of experience and practice to cook a food item that will satisfy your palate. But hold on to that thought, it’s about to change soon. It might be a tad difficult to digest this, but yes, big data is getting creative in creating food recipes for humans too.

Speak to an analytics expert for detailed insights on the role of big data in the food industry.

Cooking AI – A Random Combination or a Calculated Creativity?

At first glance, it might seem like all a computer can do is take some selected ingredients and create a random combination until you get to an acceptable food recipe. Well, cognitive cooking is a lot different than that as it involves a lot of food science. By examining all available recipes, it can ascertain the perfect ratio of flour, butter, water, and leavening to produce a desirable result.

Chef Watson

IBM Watson researchers try to solve the problem by using natural language processing to process hundreds and thousands of recipes available on the web and create a relationship map of quantities, ingredients, and processes associated with various recipes. This cooking AI also takes into account the chemical compounds found in the food and determines chemical combinations that are preferred by human taste buds. Additionally, using the food pairing principle, the Watson recipe finder can generate millions of new recipe ideas by giving preference input into the algorithm.

To know more about the use of big data in food recipes, cognitive computing, chef Watson, and food pairing, request for more information.

Can it Create the Bon Appetit Experience?

IBM Watson started out by rating each recipe based on how unique the food recipe idea is, even in terms of quality. For instance, by analyzing the chemical properties of different food combinations, it can predict whether the food will smell good and subsequently taste good as well. The success of Watson AI could be exhibited by various successful food chains such as McDonald’s using data to predict food trends on a store to store basis. Additionally, they are also using such neural network recipes to create new menu items based on products that have been popular in the past.

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