One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...

Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...

You may find the word "data" in the term "data journalism" redundant. After all, newsmaking of any kind, even the tacky, propaganda-driven type, has always relied heavily on data. Earlier, on-set ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Chief Business Officer at Cognyte, head of Cognyte’s product, global R&D, business units, and go-to-market strategy. Our world has become increasingly digital. The pandemic that drove the world ...

This paper, compiled by Prof. Huadong Guo and his team, discusses the potential and utility of Big Earth Data through a number of case studies to support the 2030 Agenda for Sustainable Development.

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

“Data” is the watchword of the progressive gov tech professional today. If we can put a number to a problem — quantify it, catalog it, assault it with an avalanche of analytics — all will be well.

Although recent advances in computational capacity and machine learning have led to well-publicized breakthroughs in clinical risk stratification, these advances are noticeably absent in oncology. A ...

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025. The world generated 181 zettabytes of data ...