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Moving Beyond Deterministic Optimization: Making a Decision in the Face of Uncertainty

Stochastic programming enables optimal decision making in the face of uncertainty.

A Framework for Responsible Innovation

How can a successful technology organization balance the need to innovate with the desire to maintain a lean, consistent tech stack?

Building our Centralized Experimental Platform

Running an A/B test is easy. Screwing up an A/B test is even easier.

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.

Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want

“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.

Simulacra And Selection

How many sets of 5 can you make from 10,000 distinct items? Recall that chapter about permutations and combinations...

Maintainable ETLs: Tips for Making Your Pipelines Easier to Support and Extend

This post gives practical advice that will help make your ETL pipelines easier to debug, maintain, and extend.

Suffering from a Non-inferiority Complex?

What if you don't need version B to be better than version A?

Masters of Data interview: Better together, the future of humans and machines

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.

Beware the data science pin factory: The power of the full-stack data science generalist and the perils of division of labor through function

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.