Big Data – The New Chef in Town
Food is emotion, food is life, food is an experience, and it means many things to different people. From a very long time, the taste and delicacy of food items were thought to be largely dependent on human touch. It takes years and years of experience and practice to make a food item that will […]READ MORE >>
Food is emotion, food is life, food is an experience, and it means many things to different people. From a very long time, the taste and delicacy of food items were thought to be largely dependent on human touch. It takes years and years of experience and practice to make 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.
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.
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 food pairing principle, the Watson recipe finder can generate millions of new recipe ideas by giving preference input into the algorithm.
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.
To know more about the use of big data in food recipes, cognitive computing, chef Watson, and food pairing:
- Big Data Analytics Accelerates Growth in the Healthcare Industry
- Top Challenges for the Healthcare Industry In 2018
- Top Five Uses of Data Analytics in Hospitals