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    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 interchange, everybody...

    Defining clear metrics to drive model adoption and value creation

    One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic models and diagnostic...

    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)...

    Evaluating Ray: Distributed Python for Massive Scalability

    Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you...

    Announcement: Domino is fully Kubernetes native

    Last week we announced that Domino is now fully Kubernetes native. This is great news for data science teams and IT organizations building modern DS...

    On Being Model-driven: Metrics and Monitoring

    This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability,...

    Themes and Conferences per Pacoid, Episode 13

    Paco Nathan's latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM)...

    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...

    Data Ethics: Contesting Truth and Rearranging Power

    This Domino Data Science Field Note covers Chris Wiggins's recent data ethics seminar at Berkeley. The article focuses on 1) proposed frameworks for...

    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. ...

    Seeking Reproducibility within Social Science: Search and Discovery

    Julia Lane, NYU Professor, Economist and cofounder of the Coleridge Initiative, presented “Where’s the Data: A New Approach to Social Science Search...

    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...

    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 Pete...

    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...