Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...
Microsoft has invested in semantic models for over a decade through Power BI. These models encapsulate business logic and ...
The intersection of the COVID-19 pandemic and analytics has been in focus almost since the pandemic began. Organizations like Johns Hopkins Center for Systems Science and Engineering (CSSE), the New ...
With the vast amount of data that enterprises are generating and storing, leaders are continually reminded to get their data in order so they can generate business insight and prepare for AI ...
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 ...
CData Software, a leading provider of enterprise data connectivity solutions, today announced availability of Model Context Protocol (MCP) connectivity through its Connect AI platform directly within ...
Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...
Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...
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