All valid points - thanks for the comment. 1. Totally agree with the point about data science talent being one of the bottlenecks. And in that area, the big te

All valid points - thanks for the comment. 1. Totally agree with the point about data science talent being one of the bottlenecks. And in that area, the big tech companies already have the best & brightest workforce. Most data is crap is a bit of a stretch, but agree that a lot of pre-processing is required. But more and more platforms and/or services company are filling this gap. 2. 100%. This is a short term problem. 3. Agree to some extent. You can span latent spaces on top of an initial batch to overcome scarcity and use GANs to scale up. Data augmentation is not perfect but solves a lot of problems in production. Also specifically as it relates to computer vision, it's "easier" to know what the real world looks like and try to replicate it. It's hard in practice but the assumptions are mostly agreed upon.