I wish I could copy and paste this on every low-effort/high-level "X tips for ML in production" article (for context, TFA's site was spamming Reddit and HN a while back). Most corporate decision makers don't know where to start when it comes to creating ML teams, so all this 12-factor stuff (PEP8 and SOLID, seriously?) isn't going to matter one wit if the necessary cultural and organizational changes aren't put in place first.
I see your point. To me, the two points however don’t stand at odds, both need to be addressed just the same. I said something similar in other comments, but only if your organization is building a strong team structure AND a solid process/tooling structure projects in ML can go successfully into production.
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I wish I could copy and paste this on every low-effort/high-level "X tips for ML in production" article (for context, TFA's site was spamming Reddit and HN a while back). Most corporate decision makers don't know where to start when it comes to creating ML teams, so all this 12-factor stuff (PEP8 and SOLID, seriously?) isn't going to matter one wit if the necessary cultural and organizational changes aren't put in place first.
I see your point. To me, the two points however don’t stand at odds, both need to be addressed just the same. I said something similar in other comments, but only if your organization is building a strong team structure AND a solid process/tooling structure projects in ML can go successfully into production.