Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. Solid read for anyone thinking about where to focus their skills next.
Supply chain keeps emerging as one of the most impactful domains for applied ML work — forecasting, optimization, and logistics are rich problem spaces where data scientists can see tangible results. This piece from a 10-year industry veteran breaks down why it's worth specializing and how to get started. 📦 Solid read for anyone thinking about where to focus their skills next.
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