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

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 ...

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 ...

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, ...

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.

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 ...

Have you ever hesitated to explore powerful data tools because of the fear of hidden costs or complex setups? If so, you’re not alone. Many aspiring data enthusiasts and professionals shy away from ...

Over the past few decades, businesses, governments, and militaries worldwide have relied heavily on data analytics to advance operations, gain critical insight for tactical advantages, and improve ...

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 ...