Why Almost Half of All Data Science Tasks Will Be Automated by 2020


There's a significant issue with big data today: fully using it requires data scientists who are expensive and often a bottleneck on data utility. Big data is complex, and it takes specialist knowledge and skills to get a grip on the potential uses. For big data to fully reach its potential, businesses need to get beyond the data scientist. This relief is coming in the form of artificial intelligence. While AI won't replace the data scientist any time soon, it can assume some of the tasks currently handled by data scientists.