Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Predictive analytics can be applied to various use cases, with three of the most common ...

In organizational leadership, staying ahead requires more than just a glance into historical data; it demands a predictive prowess that anticipates future trends and allows leaders to test hypotheses ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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 ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

UPMC is on the forefront of using big data to improve patient outcomes. The system started collecting patient data more than 30 years ago and now has a robust platform to support predictive analytics ...

Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

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 ...

Eli is Associate Editor for EdTech Magazine Higher Education. When not in the office, Eli is busy scanning the web for the latest podcasts or stepping into the boxing ring for a few rounds.