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    Field notes on AI workflows, agentic systems, and future-proofing your data science career. Long-form companions to the newsletter.

    The five stages of the MLOps course as a pipeline: structure, serve, track, automate, monitor.
    5-part series

    MLOps for Data Scientists

    Most ML courses stop at the trained model. These five parts pick up there: structuring the project, serving it, tracking runs, automating deploys, and watching it once real traffic hits.

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    Diagram of an agentic analytics architecture sitting on top of a semantic layer.
    18 min read

    What Is a Semantic Layer? The Foundation of Agentic Analytics

    A semantic layer is a structured definition of business metrics and relationships that lets AI agents understand your data the way your team does. Here is why it matters.

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