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 ...

When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

Applications are continuing to move from process-centric to data-centric, meaning that rather than data being locked inside applications in silos, the business logic will be embedded in the data and ...

In today's intricate data landscape, business users often grapple with the technical complexities of data management. Datavid's semantic data platform resolves this challenge by utilising a semantic ...

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 ...

Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. With Fabric IQ, Microsoft is ...

One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...