A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

RAILWAY AGE, MARCH 2020 ISSUE: The December 2019 Big Data in Railroad Maintenance Planning Conference, held at the University of Delaware, continued to highlight the advances the railroad industry is ...

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 ...

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, ...

The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...

The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

The global market for healthcare predictive analytics is expected to grow from $16.7 billion in 2025 and is projected to reach $50.4 billion by the end of 2030, at a compound annu ...

SPSS, Inc., a global provider of predictive analytics software and solutions, has introduced the latest versions of its data mining workbench and text analytics software products, and renamed them to ...

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 ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...