As AI technology is being implemented across industries, the roles of data scientist and AI architect are merging — for good reason. As scarce as data scientists are, AI architects are even harder for enterprises to add to their team.
Since a robust, effective AI strategy requires skill sets that overlap between data science and coding, it often makes sense for data scientists who are already in place in the enterprise to keep boosting their skill sets. Fortunately, the starting point in enterprise AI is currently prediction-focused — researching and anticipating the market, competitor use cases, customer demographics and individual consumer ideology.
Author: Scott Robinson