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 ...

Semantic data enrichment and ontology mapping are two of your strongest tools to aid data-driven customer experience delivery. We've all heard the call to deliver data-driven customer experiences, but ...

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

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

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 ...

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 ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...

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 ...