AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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.

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 ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

AI is reinventing the way media companies can analyze their business, from precise forecasts to finding new business opportunities to optimizing yield. In all of these cases, data is required to ...

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 ...

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. Artificial Intelligence, machine learning and ...

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 ...

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 ...

Like AI and machine learning, predictive analysis has become a bit of an Internet buzzword in the last few years. The technology already has a wide variety of applications for marketers — predictive ...