Feature Engineering for ML Models in Traditional Companies - Bridging the Gap of Business Knowledge

For those working at traditional companies like Kroger, Exxon, or John Deere, how do you approach Feature Engineering for ML models? There's often vital business context known only by certain SMEs. How do you bridge the gap and leverage their expertise?

What's your process for Feature Engineering? How do you ensure the right features are incorporated to meet specific business requirements? Any effective strategies for extracting meaningful features from available data?

Moreover, how do you collaborate with SMEs to gain …

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