Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

New technologies are permitting larger scale and more quantitative studies of signalling networks. The large data sets that are obtained from these studies can be analysed by data-driven modelling ...

Andrea Beccarini, Bernd Kempa, MODELLING TIME-VARYING HETEROGENEITY IN PANEL DATA AS REGIME-SWITCHING, Annals of Economics and Statistics, No. 151 (September 2023), pp. 81-120 ...

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

Microsoft's CDM is the linchpin for the recently announced Open Data Initiative and likely even more Microsoft products in the future.

While not a silver bullet solution to attribution, a data-driven model provides better insights for advertisers. Learn more here.

Meta launched a big new AI model called Llama 2 on Tuesday. The company didn't disclose what data it used to train the model, unlike the first LLaMA.