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 ...

In this Invited Talk from SC19, Karen Willcox from the University of Texas presents: Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning. Achieving ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

The University Hospital Nurse Extender Model using patient care technicians is a long-term strategy to maintain quality patient care. The authors present an overview and conceptual framework of the ...