Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

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 ...

When applied respectfully with the customer in mind, predictive marketing paves the way for more meaningful one-to-one interactions. Traditionally, businesses relied on basic data points for ...

This is the first article of our three-part series on the state and development of predictive analytics in the legal market. Our second article will look at why predictive analytics' growing accuracy ...

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. Artificial Intelligence, machine learning and ...

Predictive analysis has a long and profitable history with direct mail. Millions of dollars have been saved by focusing on those customers most likely to buy—and not mailing to those who are unlikely ...

The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...