Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

With the ongoing rapid increase in both volume and diversity of 'omic' data (genomics, transcriptomics, proteomics, and others), the development and adoption of data standards is of paramount ...

The average Fortune 500 company in 2018 has well in excess of 1000 database servers, with tens of thousands of actual databases within those servers. Those same companies have untold thousands of ...

Pratik Jain explains how a universal semantic layer gives an extra slice of data efficiency. Organisations have been stockpiling huge amounts of data, but only a few have developed ecosystems which ...

A semantic data foundation can help to standardize business logic to all AI agents to orchestrate and perform well.

Together with Snowflake, Sigma and other industry leaders are driving a new open standard for semantic data, ensuring organizations can define metrics once, govern centrally, and analyze everywhere ...

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Intuit — the financial software giant ...

A universal semantic data layer is a single business representation of all corporate data aimed at helping users access data using common business terms via the BI and analytics tools of their choice.