People who know how to do that neglect the important steps too. The hardest part about ML is finding practitioners who aren't false positives.
There oughtta be a "law" about this; something like "Every software system eventually has an Excel implementation" or such.
What is your business model?
Data integration -> ML Predictions -> taking actions.
As an example, for an ecommerce store we plug into their Shopify, predict people likely to churn and send them a Mailchimp discount code.
We are running pilot projects now for these pipelines, so if you are interested do not hesitate to reach out to me on jan [at] magicsheets [dot] io
I’d try to put some focus on helping users who aren’t ML savvy understand the different algorithms and hyperparameters, the choice can be confusing otherwise.