Moving from Data-Driven to AI-Driven: The Next Step in the Evolution of Business Workflows
Embracing AI in our workflows affords better processing of structured data and allows humans to contribute in ways that are complementary.
Embracing AI in our workflows affords better processing of structured data and allows humans to contribute in ways that are complementary.
“Give me jeans not shoes.” That may seem like a simple request, but when we process that bit of text with our human brains, we take a lot for granted.
How many sets of 5 can you make from 10,000 distinct items? Recall that chapter about permutations and combinations...
See who's out in the wild for the month of July.
This post gives practical advice that will help make your ETL pipelines easier to debug, maintain, and extend.
What if you don't need version B to be better than version A?
See who's out in the wild for the month of May.
See who's out in the wild for the month of April
Listen to the Masters Of Data podcast that features Brad Klingenberg. Hear what it’s like to work on the algorithms team at Stitch Fix and how combining humans and machines may represent the future of work.
This post discusses the benefits of full-stack data science generalists over narrow functional specialists. The later will help you execute and bring process efficiencies. But, the former will help you learn, innovate, and bring a step-change in value - such is the role of data science.