Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Major data standards frameworks aim at collaboration WASHINGTON, DC, UNITED STATES, January 26, 2026 /EINPresswire.com/ ...

The benefits of data standardization within the social sector—and indeed just about any industry—are multiple, important, and undeniable. Access to the same type of data over time lends the ability to ...

Data is the lifeblood of the modern economy. Thousands of data points generated by each person are helping many industries deliver better products and services—online retailers suggesting and shipping ...

As private markets continue to grow, fund managers are increasingly turning to AI to improve efficiency and free up time for ...

The Department of Veterans Affairs has standardized the vast majority of the high-priority datasets it’s transferring to two platforms that form the backbone if its Electronic Health Record ...

For scientific investigation, observational and instrument-derived data is the lineage of information which provides knowledge that enables managers to make strategic and tactical data-based decisions ...

Standardizing patients’ last names and address information in EHRs can lead to more effective matching of an individual’s health records, according to a paper published in the Journal of the American ...

The open data movement has grown in leaps and bounds during the Obama administration, but efforts to standardize that data are only in their infancy, experts say. Waldo Jaquith, former director of the ...

Data standardization across the municipal market will likely take years and much discussion to pinpoint the issues and how the market can solve them. Processing Content Some of the apparent problems ...