In the journey of moving from "data-driven" to "data-informed," it is imperative that product leaders understand the data ...

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be ...

The study explores multi-source data fusion and artificial intelligence for ETC-enhanced urban analytics. By combining ETC ...

Tom McAndrew, a computational scientist and associate professor in Lehigh's College of Health, recently published a paper in ...

A contract obtained by 404 Media shows that an airline-owned data broker forbids the feds from revealing it sold them ...

A key government statistical agency has cut back on its data collection, raising concerns among experts about widely used ...

One of the key risks of a data breach this big is how easily cybercriminals will be able to access multiple accounts, ...

Improving how we analyze data is only half the challenge. The industry must also raise the bar for ethical data practices.

The BLS has been in the wars recently because of increasing concerns about the quality of its data. Although the US statistical agency said its weighting error in the employment figures was minimal ...

Journalists can use these 10 tools to examine education data in areas such as student achievement, school segregation and ...

As IoT adoption expands, the challenge isn’t just deploying more sensors—it’s designing smarter ones that can operate ...

Companies capture data in many ways from many sources. Some collection methods are highly technical, while others are more deductive (although these processes often employ sophisticated software).