1) The document discusses the history and development of artificial intelligence, machine learning, and deep learning from the 1950s to present. 2) It introduces H2O.ai's Deep Water platform for deep learning which leverages popular open source tools like TensorFlow, MXNet, and Caffe to enable large-scale deep learning on CPUs and GPUs. 3) Deep Water allows users to easily train, compare, and deploy deep learning models through H2O's APIs in R, Python, and Flow for big data use cases like image, video, text, and time series analysis.