Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
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 ...
Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...
Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
A deterministic, installable semantic first-hop for the web — built for AI. HESS is a proposed, open, domain-owned Semantic Layer Public Index (SLPI) designed to solve the core AI systems problem: ...
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 ...
As enterprises move faster with AI, most governance frameworks focus on model bias, explainability, and privacy. The greater risk often hides at the data layer. AI agents that can write or modify ...
Liquibase, the leader in Database Change Governance, today announced new AI governance capabilities in Liquibase Secure, extending enterprise control to the database layer. The update addresses a ...
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 ...
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