Centrix and University of Sussex launch a data analytics partnership to reduce development risk, rework and delays in early-stage pharma programs. A collaboration between Centrix Pharma Solutions, a ...

In January, the Idaho Department of Health and Welfare plans to launch a predictive analytics model as part of its child welfare program. The goal is to improve case management, reduce unnecessary ...

Register today to learn how MPC, combined with AI, machine learning, predictive analytics, and emissions monitoring ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

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 ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, reducing unplanned shutdowns ...

Generative AI and predictive AI are both types of artificial intelligence that can help businesses become more efficient and innovative. The main differences between the two domains are use cases and ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.