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 ...

The accelerating costs of climate change are forcing investors to rethink how they assess, value and manage portfolios.

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 ...

Farmland is simultaneously a defensive anchor against technological disruption and a sector where technology could redefine ...

Predictive analytics is not just a tool for data scientists; it’s a strategic asset for different types of businesses. As the CMO of an agency that helps automotive clients transform their marketing, ...

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 ...

Discover how predictive and prescriptive analytics, powered by real-time web scraping, are reshaping decision-making in ...

A new year and decade provide an occasion for predictions regarding the state of analytics in the process industries. After three decades of data generated by digitizing control systems, stored in ...

Smartphones and connected vehicle data can help traffic safety officials spot and fix accident hot spots, says a report from ...

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 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 ...