After Big Data Meets AI?

While Big Data promised tremendous breakthroughs, achieving this promise has proved uneven at best. Either organizations are measuring the wrong things or the algorithms designed to help analyze data are incomplete or, worse, flawed. One rather public example of a Big Data fail was Google's Flu Trends (GFT); the project meant to track global flu cases based on the volume of flu-related searches which passed through the company's search engine. However, the parameters were so broad that the results were over-reporting incidents of flu by nearly 2:1.