Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

In AI, yesterday’s breakthrough is today’s baseline, so AI agents that simply retrieve information are no longer enough. The real game-changer lies in creating AI agents that truly understand your ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...

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 ...

A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Snowflake and Salesforce initiated the Open Semantic Interchange project in collaboration with industry partners to solve the problem of the fragmentation of enterprise system data definitions. There ...