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 ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

David Barberá Costarrosa has been dedicated to e-commerce and its ecosystem since 2017. Entrepreneur, Cofounder of Beeping, among others. The whirlwind of e-commerce and its constant evolution poses a ...

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 ...

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 ...

Chris McGee gives his expert analysis on how financial institutions can improve branch value through a series of advanced ...

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 ...

Measles is one of the most contagious infectious diseases, capable of spreading rapidly in communities with low vaccination rates. The virus is transmitted through respiratory droplets and can remain ...

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 ...