The democratization of data science
The amount of effort being put into broadening the talent pool for data scientists might be the most important change of all in the world of data. In some cases, it’s new education platforms (e.g., Coursera and Udacity) teaching students fundamental skills in everything from basic statistics to natural language processing and machine learning. Elsewhere, it’s products such as 0xdata that aim to simplify and add scale to well-known statistical-analysis tools such as R, or, like Quid that try to mask the finer points of concepts such as machine learning and artificial intelligence behind well-designed user interfaces and slick visual representations. Platforms such as Kaggle have opened the door to crowdsourcing answers to tough predictive-modeling problems.