AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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. Predictive analytics use historical ...

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 ...

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 ...

Humans have always needed to support decision-making and strategy with some form of predictive analytics. In Ancient Rome, for example, predictive analytics meant haruspex priests studying animal ...

The emerging field of 'predictive analytics in mental health' has recently generated tremendous interest with the bold promise to revolutionize clinical practice in psychiatry paralleling similar ...

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 ...

Despite fears of surveillance state activities reminiscent of dark sci-fi stories, police hope predictive analytics developments will help them to manage tight budgets and resources, including to ...

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 ...