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 ...
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The Hidden Variable in AI Success: Why Data Quality Trumps Model Size
The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...
This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.
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An integrated data model for next-generation bridge maintenance
Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...
We study a class of missingness mechanisms, referred to as sequentially additive nonignorable, for modelling multivariate data with item nonresponse. These mechanisms explicitly allow the probability ...
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.
Attribution has been the holy grail for advertisers since the beginning of time, especially for media platforms that typically sit further away from the conversion and play a role in branding (i.e., ...
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