Large enterprises need to have a faster research adoption cycle too. They need to do their bit. It’s not all researchers fault. At least in my org (a very large

Large enterprises need to have a faster research adoption cycle too. They need to do their bit. It’s not all researchers fault. At least in my org (a very large conventional co ) our DL adoption is hardly beyond transfer learning, using CNNs as feature detectors. We lament lack of labeled data and there is tangible research in few-shot learning and semi-supervised learning to at least get us started. But we still don’t do it. I do understand that it sometimes hard to conceptualize a product around some advanced in ML, eg GANs or RL, but there are way too many others that we can adopt without killing ourselves. Enterprises should perhaps have a team / group that tries to fill the gap between research and adoptions.