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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

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Edward Jones’ CIO Frank LaQuinta plays to win

CIO Business Intelligence

He came to Edward Jones in 2016 after a 30-year career in technology on Wall Street and was named chief information officer in 2018. Leveraging the right technical solutions for unique business problems will require experimentation and will result in advances in the technology supported across teams.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. What’s going on?

IoT 20
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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

As the number of experimental trials N approaches infinity, the probability of E equals M/N. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. on average.

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When models are everywhere

O'Reilly on Data

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. That loop isn’t new, of course; it was well-known to TV network executives. Does “The Entertainment” show people what they want to see?

Modeling 191