How do you go about executing ML professionally within your organisation or personally ?

How do you go about performing ML professionally within your organisation or personally ? I’m conducting research to better understand how one goes about fulfilling machine learning (ML) tasks today, be it using bespoke platforms or standard public platforms. The goal is to generally understand how effective current methods are, because I’ve observed that’s it not so easy given it’s such a manual process. To drive the discussion, I propose the following set of questions: 1. Tell me how you do you execute ML tasks today ? Examples classification, regression, forcecasting etc 2. What is the hardest thing about executing such ML tasks ? Please feel free to discuss other tasks, the above are just examples. 3. Why is it hard? 4. How often do you have to perform such ML tasks ? 5. Why is it important for you or your organisation to use ML ? 6. What do you do to solve this problem today? 7. What ML techniques do you use the frequently ?