As rules on how data can be processed, leaders face a need between protecting sensitive information and unleashing the full ...

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

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 ...

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Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...

In 2016, when Microsoft announced its makeover of its CRM and ERP strategy in the form of Dynamics 365, officials started talking up the Common Data Model (CDM), which was the heart of those services.