Book Experimentation Measurement Uncertainty 
CIO Business Intelligence
SEPTEMBER 12, 2022
Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Here, they and others share seven ways to create and nurture a culture of innovation.
CIO Business Intelligence
OCTOBER 18, 2023
If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.
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Occam's Razor
APRIL 8, 2013
This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. Measure and decide what to do.
The Unofficial Google Data Science Blog
JANUARY 14, 2016
Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.
O'Reilly on Data
SEPTEMBER 15, 2020
My book, AI for People and Business , introduces a framework that highlights the fact that both people and businesses can benefit from AI in unique and different ways. In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time.
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