Kyvos Insights’ Pratik Jain explains how a universal semantic layer enables organisations to design efficient data ecosystems.

AtScale, a leader in semantic layer technology, today announced its groundbreaking integration with Databricks Genie, bringing powerful natural language querying to the Databricks Lakehouse.

One of the most exciting developments I'm seeing is how the semantic layer is becoming the crucial bridge between enterprise data and AI. By semantic layer, I mean a unified layer of business ...

Future-proof your brand’s search strategy with schema and structured data markup, and ensure your web data is ready for ...

The Intuit architecture diverges from the typical vector database approach many enterprises are hastily implementing. While vector databases and embeddings are important for powering AI models, Intuit ...

Well, it means adding a semantic layer(s) to your data to provide this context. In knowledge management, semantic layers are like a smart bridge between raw data and human understanding.

The demand for locating and retrieving information continues to soar, paralleling its increasing volume. Equally important to both humans and computer-driven applications, the ability to access ...

In the study, the team has proposed the "semantic hub" hypothesis, which suggests that LMs create a shared representation ...

The SAP Business Data Cloud is a software-as-a-s ervice single platform that unifies your data and analytics needs and centralizes data from SAP and non-SAP sources into a unified semantic layer ...