Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

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 ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

This article is the sixth and last in an editorial series that reviews how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter ...

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 business process monitoring and event prediction constitute an evolving field that harnesses advanced data analytics, machine learning, and process mining to forecast future events and ...

If you’re involved in quality assurance, which you most likely are or wouldn’t have started reading this article, then you know how important maintaining software quality is—especially in the modern ...

Combining big data with detailed process knowledge, EFT and Big River Steel are solving one of the steel industry’s biggest pain points. WICHITA, Kan.--(BUSINESS WIRE)--EFT Analytics (EFT), a leading ...