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 ...

We introduce a geometric semantic model designed to capture fine-grained semantic representations in a multidimensional space. Building on this model, we develop a novel annotation framework that ...

While many companies are interested in adopting a data fabric architecture, organizations don't realize that the essence of a true data fabric leverages embedded AI with a unified semantic layer for ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

Snowflake, the AI Data Cloud company, is partnering with leading industry players and ecosystem vendors, including Salesforce, BlackRock, dbt Labs, and RelationalAI, to lead the Open Semantic ...

Abstract: This paper proposes an ancient Chinese semantic database model based on LSTM, which aims to solve the problems of complex grammatical structure and semantic ambiguity in ancient Chinese. By ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...