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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

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Data Science, Past & Future

Domino Data Lab

Greg Linden ‘s article about splitting the website on Amazon. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

What are the projected risks for companies that fall behind for internal training in data science? In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! In business terms, why does this matter ? However, MOOCs have limitations.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. If you’ve never participated in a Foo event, check out this article by Scott Berkun. The probabilistic nature changes the risks and process required.

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Data Science at The New York Times

Domino Data Lab

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” This was one of several such articles, but that’s another talk. Then we can drill down and say what are the individual articles that over-index for that group or for that topic. That is an example of a descriptive tool.