Remove 2001 Remove 2017 Remove Data Analytics Remove Interactive
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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. They use data infrastructure at work. Wes McKinney (2017). Aurélien Géron (2017).

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!