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Food Science - Tastes and Smells

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POSTED IN: Data Analytics & Visualization Blog

See also
https://www.ibm.com/blogs/research/2018/10/ai-fragrances/

 

Food Science - Tastes and Smells

 

I often use the metaphor of CAKE BAKING to describe the composition of ingredients (tools/models/data) and recipes (patterns, code) to create small cupcakes of data insights, or wedding cake systems.

In this "raw ideas" blog - I put down a few few thoughts about going the other way - FOOD SCIENCE

 

Plates of Food;  Cans of Sauce,  Ingredients in the Pantry, guidance from the cook books - and the supermarket aisle.   Data Science meets food science.

 

Stakeholders

So who cares about the delicious fork full of food, and whether your brain is going to light up with delight - or not.

  1. Food Scientists - Manufacturers
  2. Scent Scientists - Flavour and Perfume Factories
  3. Consumer / Shopper (mom or dad)
  4. Chefs & Culinary Influencers (restaurant, catering company)
  5. Data Scientist (if supporting below)
  6. Farmers, Growers, Primary Producers

 

Data Sources & Ground Truth

  • Recipe Books (Classic Blends)
  • Chef Watson
  • Food Science Basics (chemistry)
  • Social Media - new combinations, new trends (by geo / group / etc)
  • Factory Floor - Prior BLends (and sales / uptake)
  • Food Science Test Kitchen  / Test Tasters (subjective)
  • On the Tongue (all consumers)
  • ON the Nose (all consumers)
  • Stores - Point of Sale Combinations (what spices, ingredients, etc. are being bought togeher - trending in Berkeley?)

 

Value and Innovation - ROI Positive?

  • New combinations (flavour explorsion!)
  • New experiences (trying new things, spices, foods) & consumer insights
  • Expanding Palette - leading a new wave of food science
  • Extracting Meaningful Insights from "Dark Data" (e.g. review 10 years of research tasting notes, or customer feedback)
  • Product & Brand extensions (tweak, tune established foods)
  • New lenses to look at data - old data and cross pollinated data - better understanding of tastes and tastes...

 

 

Other Links / Prior Works

 

Coffee Flavour Recommender

Wine Pairing Recommender

 

Chef Watson (Mature)

 

Cognitive Bartender

 

https://watsontwist.zendesk.com/hc/en-us/articles/217441437-Q-What-is-Watson-Twist-

 

 

 

 

 

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About the Author

Ryan Anderson

Ryan Anderson

Hi! I like to play with data, analytics and hack around with robots and gadgets in my garage. Lately I've been learning about machine learning.

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Description is...<br/>Data Analytics & Visualization Blog - Generating insights from Data since 2013

Created: July 25, 2014

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