There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Launching under a new name and new leadership, Revolution Analytics today unveiled its plans to further drive commercial adoption of the open source R statistics ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

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 ...

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 ...

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 ...

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 ...

Although recent advances in computational capacity and machine learning have led to well-publicized breakthroughs in clinical risk stratification, these advances are noticeably absent in oncology. A ...

Energy needs don’t always align with expectations. But predictive analytics is helping companies reduce their energy footprint and improve forecasting of how much power they will need at a given time.