Big Data, Crystal Balls and Looking Glasses: Reviewing 2016, predicting 2017
How do big data people go about making end-of-year reviews and predictions? Using data is the obvious answer, but there’s a few issues with that approach: there is no synthesis in data alone — you have to find the story behind data, pick an angle and seek meaning. In addition, that approach does not account for subtle hints, industry knowledge, and big ideas. To paraphrase Carl Sagan, […]