Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

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 ...

More data and continuous training means AI will only become better at predicting legal outcomes. But predictive analytics' accuracy will likely never reach a point where lawyers are turning the keys ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now It appears all but certain that generative ...

Gienna Shaw is an independent journalist with more than 25 years of experience as a writer and editor. She specializes in business, technology and healthcare. As the federal government makes headway ...

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 ...

One of the key concepts of the acclaimed science fiction book series Foundation, first published in the 1940s by Isaac Asimov, is the ability to predict human behavior. It imagined a new field, dubbed ...

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 ...