Humans have always needed to support decision-making and strategy with some form of predictive analytics. In Ancient Rome, for example, predictive analytics meant haruspex priests studying animal ...

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 ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

The success of a marketing plan in today’s competitive marketplace depends heavily on the persuasive power of campaigns. Predictive analytics support this process by providing insights from the common ...

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 ...

The U.S. AI in Chemicals Market is Expected to Reach $6.98 Billion by 2035, While Europe is Projected to Touch $5.89 Billion, Driven by AI-Powered Production Optimization, Sustainable Chemical ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...

Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...

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 ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...