
…reover, you should invest in the infrastructure hardware required for successful AI transformation. Machine learning, and especially deep learning, require a new level of computational power, as well as high-bandwidth, low-latency networking and storage.
…ng with researchers at Google, Facebook, Microsoft, and thousands of universities around the world. Taking the best performing architecture currently described in the literature and retraining it on your own data is a battle tested strategy if your goal is to solve a problem (as opposed to making an original contribution to science). If there’s nothing really good availabl…