Updated at 2:58 p.m. on March 15, 2018There is a lot of hype around big data in every industry, and journalism is not an exception. The Panama Papers and the subsequent Pulitzer Prize awarded to the ...

Analyzing big data sets can pose problems, however. For starters, big data is big, sometimes too big to be handled effectively by commonly used analysis tools.

Not too big: Machine learning tames huge data sets. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 09 / 230911165838.htm. DOE/Los Alamos National Laboratory.

Big data is used to create “gold” data sets in data lakehouses, Conway says. And finally, they use big data to build data products, and ultimately to train AI models. As the world turns its attention ...

The problem with “big data” is not that data is bad. It’s not even that big data is bad: Applied carefully, massive data sets can reveal important trends that would otherwise go undetected.

Others, with greater privacy concerns, look at big data and see Big Brother. But when I dove into one big data set (albeit only partially), held by one of the largest data aggregators in the world ...

IRVINE, Calif., April 25, 2017 /PRNewswire/ -- Proove ® Biosciences, Inc. announces that its Proove Nexus™ platform is the World's Largest DNA Pain Biobank and Big Data Clinical Data Set in ...

"Technology in the insurance industry has reached critical mass," says Michael Macauley, CEO of Quadrant Information Services, a leading supplier of pricing analytics services to property and ...

He said big data sets within the hedge fund space tend to be really focused on tactical, higher frequency, shorter term decision making, such as trying to gain an edge on payrolls or the next move ...