As global participation in digital-asset ecosystems expands and blockchain behaviour becomes increasingly complex, platforms ...

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...

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 ...

Predictive analytics can detect and quantify emotional reactions in the human voice which can be used to predict customer churn, forecast sales and more. Predictive analytics is a form of data ...

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Babasola Osibo's study demonstrates how machine learning and smart controls cut power use and enhance sustainability in energy-hungry data centers. At the heart of Osibo's framework are three ...

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 ...

The MSW Management Journal has recently published an insightful research paper highlighting how predictive analytics can improve vehicle maintenance strategies and minimize warranty claims in the ...

Roadways are getting more dangerous, leaving safety directors with a difficult mission: Sift through terabytes of data to identify gaps in fleet safety. As data analytics tools improve, safety leaders ...