AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Getting the “Business” into Business-Oriented Data Modeling – Practical Techniques & Examples by Alec Sharp This white paper by industry expert Alec Sharp illustrates these points and provides ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

This session aimed to gain insight into the macroeconomic models and inputs used at the decision-making level. In his talk, Robert Arnold, Congressional Budget Office (CBO), echoed Stock by stressing ...

Data Matching to Support Analysis of Cancer Epidemiology Among Veterans Compared With Non-Veteran Populations—An Exemplar in Brain Tumors Real world data (RWD) were from the Flatiron Health advanced ...

The OMOP Oncology Module provides a platform for standardization of cancer data enabling the conduct of observational cancer studies and identifying patient cohorts in a distributed research network.