How can data taste good? Let’s start with what we know about how to “Make food taste good” and then we can understand how the same principles are useful for Data Quality. A long, long time ago in a land far away, we were in the midst of some staffing changes in the kitchen and…

In real life (how to be a better cook) I am a big fan of the the book “Ratio” by Michael Ruhlman. https://www.simonandschuster.com/books/Ratio/Michael-Ruhlman/Ruhlmans-Ratios/ For any home cook, or restaurant chef, this is a way to start thinking about cooking free of recipes. Or more powerfully being able to conjure “recipes” on the spot that are…

There are at least seven contexts of foodservice data that are useful that lie between the supply chain and the end customer. The transmogrificaiton of data during this journey presents unique challenges. Considering these layers will yield more useful data models. Understanding what behaviors drive higher value customers is key to maximizing that value.

Sometimes two passions collide. Sometimes interesting works result. Nomnommer and the work we did on “Systems and Methods for Virtual Cooking” (Pandora for recipes) was very forward thinking for the time based on the available technologies. Graph was young (Neo4j was in version 1.x), ML and NLP tools were only starting to evolve. More recently…

Once upon a time I was a fine dining chef. By their very nature, a chef must be a sophisticated computational machine. A walking multi-sensory knowledge graph able to make semantic connections and weigh complex business and artistic decisions in real time. It is impossible to get a shorter supply chain than farmer to chef.…