[dbish]

Sagemaker is probably a bad example since most folks who run ML workloads on AWS don't use it (from what I've seen talking to many ML teams). It's partially a scattered focus on their customer type (are they for experts/non-experts/something in between?, what exact use cases are they covering?) and partially I think just bad UI/UX (related to customer focus). AWS will converge on what is working for ML platforms and just build their own as time goes on. First mover advantage won't matter and these earlier ML platforms will be consumed imho