Why do managers and leadership think DS/ML is easy?

I work in a large government agency, and I, along with most of my colleagues in the Data Science/Machine Learning field, are self-taught. Over the past few years, I've put in a tremendous amount of effort to keep my ML skills up to date. I haven't seen the same level of enthusiasm and dedication from my managers and coworkers. They tend to view ML as an extension of dashboarding, where ML is expected to 'fit' into a quick 1-2 week …

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