What does this look pike for an org that is primarily providing SaaS products via ML? i.e. how much to r&d, model dev, data cleaning, etc.
On the ML side you probably have more people working on data gathering/cleaning/client specific tweaks than actual modeling. (Practically, I’d say is 80%-20% at best in the projects we do at work).