Do vertical integrated companies like Scale, Labelbox and Snorkel gain any advantages offering both labeling and training services for ML algorithms?

My perspective is that they should all be packaged together as a single product, and the customer should only interface with their own data. To give the best value or experience to the customer, you should integrate everything into one product—the whole ML stack. In that sense, I think they're doing the right thing.

I can't see a future where ML teams will cobble together these pieces the way they have been doing it. There are so many synergies to be had—the right data engine, coupled with the right AutoML engine, coupled with the right discovery engine. It's all the same thing and it's very hard to build an effective product around just one of them. I think these companies are doing the right thing. 

I'm just hoping for their own sake that they can find a way to really integrate all these different products. It's not enough to have ten different products. Even though those ten products cover the whole space, they also need to talk to each other in an effective way. I think that's where the challenge is for, maybe, a bigger company to get that right.