When the healthcare industry talks about data, the conversation usually focuses on interoperability and data standards. These are certainly important topics, but they don’t fully address the challenge ...
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 ...
It’s time for traders to start paying attention to a data revolution underway that is increasingly impacting their ability to both scale their business and provide value to their clients. Capital ...
Data normalization can refer to the practice of converting a diverse flow of data into a unified and consistent data model. Conventionally, the task of interpreting health data and mapping to standard ...
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, ...
It’s tempting just to replicate all databases in the cloud, but it’s a much better approach to get your data house in order as part of the move. Last week I discussed database normalization as a best ...
AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...
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