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    Machine Learning Modeling: How It Works and Why It’s Important

    Models are the central output of data science, and they have tremendous power to transform companies, industries, and society.  At the center of every machine learning or...

    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 8

    Paco Nathan's latest column dives into data governance. Introduction Welcome back to our monthly burst of themes and conferences. This month’s...

    Managing Data Science as a Capability

    Nick Elprin, CEO at Domino, presented a 3-hour training workshop, “Managing Data Science in the Enterprise”, that provided practical insights and...

    Measuring A Data Science Team's Business Value & Success

    This blog post covers metrics that help data science leaders ensure their team’s work is aligned to business value. Data science managers and...

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