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Kirsten Lum shares insights on successful ML adoption in small organizations

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

This podcast episode discusses the challenges and strategies for implementing machine learning in small organizations. Kirsten Lum from Storytellers highlights that data availability is not the primary obstacle, but rather effective end-to-end project management is crucial for successful adoption. The conversation also explores how the roles of ML Engineers and Data Scientists differ in smaller company settings. AI

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RANK_REASON Podcast episode discussing practical application and adoption challenges of AI in small organizations.

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Kirsten Lum shares insights on successful ML adoption in small organizations

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  1. Practical AI TIER_1 · Practical AI LLC ·

    Machine learning at small organizations

    <p>Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engin…

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