In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best ...

Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery Data from six hospital information ...

High reliability applications in service-critical markets, such as autonomous driving and cloud computing, demand maximum performance and minimal power and cost. Reducing design margins while ...

As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine ...

The ability to analyze ever-growing volumes of data – data that’s increasingly spread across hybrid-cloud and multi-cloud systems – is critical for businesses to remain competitive today. Here are 10 ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...

Data Analytics has emerged as an indispensable component within the realms of auditing and information systems, transforming traditional methodologies by integrating advanced computational techniques ...

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical ...