Predictive analytics is helping businesses in fields as diverse as healthcare, retailing, hospitality and insurance peer into the future to optimize inventories, manage staffing, enhance customer ...

For decades, predictive analytics was a capability largely reserved for companies with deep pockets and dedicated teams of data scientists. While the promise of forecasting customer behavior ...

Predictive analytics is the study of historical data to make future predictions. It is a data analysis method that uses past information to identify patterns and make educated guesses about future ...

Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

IBM Watson is the most well-known example of predictive analytics in use. If your company wants to benefit from predictive analytics, here's what you need to know.

While predictive analytics can help deal with today’s challenges, as both data and computing resources continue to expand, we’ll be facing a problem, Sengupta believes.

Image from Predictive Analytics book by Eric Siegel Traditional business intelligence (and data mining) software does a very good job of showing you where you’ve been. By contrast, predictive ...

Analysis Predictive Analytics' Accuracy Is Set to Take Off—But Its Ascent Isn't Boundless More data and continuous training means AI will only become better at predicting legal outcomes.

Predictive analytics' future may largely depend on law firms' and legal departments' ability to collect and organize data—and their willingness to share.