Predictive modeling helps companies optimize their internal operations, improve customer satisfaction, manage budgets, identify new markets and anticipate the impact of external events, among other ...

Explore how technology architect Aditya Swaprakash Gadepalli leverages predictive AI, cloud infrastructure, and FHIR ...

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 ...

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 ...

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.

Discover how predictive analytics is helping lenders manage gold loan renewals through repayment patterns, portfolio data, ...

Hospitals are increasingly using data analytics to catch the warning signs of preventable birth injuries before, during, and ...

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 ...

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 ...

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 ...

Supply chain analytics refers to the processes organizations use to gain insight and extract value from the large amounts of data associated with the procurement, processing and distribution of goods.