Predictive analytics is the method of using historical data, AI, and machine learning to predict future outcomes. Organizations can take advantage of predictive analytics by following some best ...

Outback Steakhouse’s decision to close 21 U.S. restaurants and allow another 22 leases to lapse over the next four years ...

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 ...

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 ...

For predictive analytics, the future looks bright—and not just because it's likely to become a staple in more areas of the legal market. Access to more data, coupled with continuous machine learning ...

The emerging field of 'predictive analytics in mental health' has recently generated tremendous interest with the bold promise to revolutionize clinical practice in psychiatry paralleling similar ...

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 ...

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 ...

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 ...