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 ...

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 ...

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 ...

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.

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 ...

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 in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Data analysis forms the backbone of modern marketing ecosystems. Every marketing campaign that you run can be analyzed vis-a-vis user behavior, messaging, demographics and so on. While the jury is ...

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 ...

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025. The world generated 181 zettabytes of data ...