Machine Learning, Artificial Intelligence, Technology, Deep Learning, Data Science.
already been used successfully, and their adjacent problems, are great places to start working on them for quicker wins. In those fields, the existing developments need to be molded to the data/processes on hand. And if you have the risk appetite to invest in a longer-term, riskier project, then