Data from 2032: Anticipation with text analytics


The goal of anticipatory intelligence is to produce future data, probabilistically, at some degree of confidence. We compare the relative value of limited samples of drone imagery and text from 15 years in the future. Using that reference data, we consider cost implications of scaling to Big Data volumes of each, today and projected forward. Finally, we look at the impact of disruptive Artificial Intelligence and Deep Learning technologies on assisting humans with exploitation of these sources.