O'Reilly on Data
JULY 28, 2020
Without clarity in metrics, it’s impossible to do meaningful experimentation. Experiments allow AI PMs not only to test assumptions about the relevance and functionality of AI Products, but also to understand the effect (if any) of AI products on the business. Don’t expect agreement to come simply.
CIO Business Intelligence
APRIL 4, 2022
The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. He quickly determined that in this environment, he had to be intentional and make those interactions happen. “I Teams require some face-to-face interaction. Employee crowdsourcing can yield breakthrough ideas.
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CIO Business Intelligence
OCTOBER 26, 2022
“If you can effectively communicate with both the business and the IT departments, you’ll be well on your way to building a strong reputation,” he notes. Walker believes that CIOs should become more political in their management team interactions by gathering supporters and forming alliances.
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.
Sisense
MAY 18, 2021
This illuminates a disconnect: Marketers understand data’s significance, but they don’t know how to use it to best serve their business objectives. When you discover data that means something, you need to be agile enough to make experimental changes.”. Vanity metrics aren’t useless.
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