Big data is a funny phrase. It’s obvious that we produce a massive amount of data: 4.9 billion people use the internet for an average of seven hours per day. Hundreds of billions of sensors, located ...

Big data is generally unorganized and needs manipulation to be readable. Small data is collected internally or externally and is easier to interpret. Both are useful for any organization, depending on ...

While headlines scream about artificial intelligence consuming ever-growing mountains of data, a quietly powerful counter-movement is reshaping how we think about information processing. This ...

Headlines have reiterated that investments in big data have continued to increase, and the big data story they’re selling us on just keeps getting bigger. But it’s time to burst that bubble. For the ...

Data may be essential to the effective operation of every business, but not all businesses are created equal when it comes to the capacity to capitalize on data. As impressive as it may be to read ...

While big data has garnered much attention in recent years, small datasets and artificial intelligence (AI) can provide valuable benefits on the battlefield, according to Margaret Loper, associate ...

Over the past decade, “big data” has become Silicon Valley’s biggest buzzword. When they’re trained on mind-numbingly large data sets, machine learning (ML) models can develop a deep understanding of ...

Before there was AI and data science, there were decision support software and ubiquitous spreadsheets. It was the age of small data, not Big Data. But have we lost something important along the way?

Over the past decade or so, the digital revolution has given us a surplus of data. This is exciting for a number of reasons, but mostly in terms of how AI will be able to further revolutionize the ...

Much hand-wringing has attended the notion that China has a “natural advantage” in the race to develop artificial intelligence because, as an autocratic state that casts a wide digital net, it is ...