Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Forbes contributors publish independent expert analyses and insights. The “exciting” things programmers like is making things happen — deep down, every programmer out there got their start because ...

Right now, in most companies, there is a crisis of Business Intelligence dashboards. For good reasons, BI practitioners use the dashboard as way to deliver data and analytics to pretty much everyone.

The rapid expansion of the Web has necessitated the development of advanced data management techniques capable of handling imprecision and uncertainty. Fuzzy data modelling offers a rigorous framework ...

Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually ...

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...

Metadata is increasingly driving semantic data modeling, said Suresh Nair, New York-based vice president and chief architect, financial services, at IT processing services company Mphasis, who was ...

Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...

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 ...