Why normalizing your clinical and claims data into standard terminologies is critical to supporting forward-thinking initiatives such as big data analytics, population health management and semantic ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

In response to the CFPB’s Request for Information seeking “best practices for normalizing relevant data” in the CFPB’s Consumer Complaint Database, the American Bankers Association has submitted a ...