Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...

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 ...

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, ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Philadelphia-based dbt Labs announced today the next version of its open ...