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    How data science can fail faster to leap ahead

    One of the biggest challenges in data science today is finding the right tool to get the job done. The rapid change in best-in-class options makes this especially challenging...

    Fireside Chat: Stig Pedersen from Topdanmark

    "In having one or two very successful algorithmic deployments, the business then begins coming to you to ask for assistance. It becomes a mutual...
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    The Curse of Dimensionality

    Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings Danger of Big Data Big data is the rage. This could be lots of rows (samples)...
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    Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

    Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. We’re...
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    Themes and Conferences per Pacoid, Episode 12

    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...
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    Data Science, Past & Future

    Paco Nathan presented, "Data Science, Past & Future", at Rev. This blog post provides a concise session summary, a video, and a written transcript. ...
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    Data Science at The New York Times

    Chris Wiggins, Chief Data Scientist at The New York Times, presented "Data Science at the New York Times" at Rev. Wiggins advocated that data...
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    Announcing Trial and Domino 3.5: Control Center for Data Science Leaders

    Even the most sophisticated data science organizations struggle to keep track of their data science projects. Data science leaders want to know, at...
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    Product Management for AI

    Pete Skomoroch presented “Product Management for AI” at Rev. This post provides a distilled summary, video, and full transcript. Session Summary ...
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    Themes and Conferences per Pacoid, Episode 10

    Co-chair Paco Nathan provides highlights of Rev 2, a data science leaders summit. Introduction Welcome back to our monthly burst of themespotting...
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    Machine Learning Product Management: Lessons Learned

    This Domino Data Science Field Note covers Pete Skomoroch’s recent Strata London talk. It focuses on his ML product management insights and lessons...
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    On Collaboration Between Data Science, Product, and Engineering Teams

    Eugene Mandel, Head of Product at Superconductive Health, recently dropped by Domino HQ to candidly discuss cross-team collaboration within data...
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    Themes and Conferences per Pacoid, Episode 6

    In Paco Nathan's latest column, he explores the role of curiosity in data science work as well as Rev 2, an upcoming summit for data science leaders.
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    Reflections on the Data Science Platform Market

    Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data...
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    Themes and Conferences per Pacoid, Episode 5

    In Paco Nathan's latest column, he explores the theme of "learning data science" by diving into education programs, learning materials, educational...
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    Growing Data Scientists Into Manager Roles

    In this post, Ricky Chachra, Research Science Manager at Lyft, provides insight for companies looking to home-grow their promising individual...
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