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 ...

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 ...

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

In today's world, businesses have a wealth of data at their fingertips. However, data will be of no use to a business if it is not utilized to gain insights and make informed decisions to enhance ...

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.

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Approximately half of the adults in the United States (116 million) have high blood pressure, or hypertension, with 91.7 million needing prescription medication in addition to lifestyle changes. As of ...

Getting through a predictive analytics project typically requires the resources of business analysts, statisticians and database experts. For small and midsize organizations that don’t have the skills ...