In this special guest feature, Will Fellers, Product Manager at Quantum Spatial Inc., explores different types of analytics – descriptive, predictive and prescriptive – and discusses how companies can ...

In this special guest feature, Ty Tucker, CEO of REV, discusses predictive and prescriptive analytics, and how they can be used in tandem to achieve the best results for a business. Ty provides ...

Imagine having a crystal ball that could peer into the future, revealing valuable insights about what's to come. That's essentially what predictive AI does, minus the mystical hocus-pocus. This type ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

In the age of big data, analytics tools have evolved beyond simple reporting. Today’s businesses rely heavily on two powerful types of analysis to guide strategy and improve performance: predictive ...

Technical leadership, predictive analytics, and personalized medicine can improve patient care. Here’s what leaders in healthcare need to know. The Fast Company Executive Board is a private, fee-based ...

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

In today's data-driven world, businesses depend on the ability to transform raw data into meaningful insights. Business analytics is the process that enables organizations to make informed decisions, ...

Treon, a leading industrial IoT company, today announced that Treon Flow solution for Material Handling, a cloud-native, ...

Ryan Sousa is vice president of the data, analytics and artificial intelligence practice at Pivot Point Consulting, a health IT consulting firm. (It was ranked No. 1 Best in KLAS for Managed Services ...

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 ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...