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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 116
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Sisense for Cloud Data Teams: a Step Forward for Builders Everywhere

Sisense

In the time since that announcement, our team has been working extremely hard to combine technologies, customer bases, and internal operations into a single organization that achieves the goal we set out to accomplish in 2012. Harry Glaser is the Chief Marketing Officer and General Manager of San Francisco at Sisense.

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Defining data science in 2018

Data Science and Beyond

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. It’s not all about machine learning.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$. 2012): 25-46.

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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. The expected precision of our inferences can be computed by simulating possible experimental outcomes. In the U.S., Cambridge, 2007.