A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Since Github doesn't provide a great way for you to learn about new releases and features, don't just star the repo, join the mailing list. dsq will likely work on other platforms that Go is ported to ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

First of its kind Model Context Protocol (MCP) connector enables approved users to explore more than 500,000 linked clinico-genomic records, answering questions on common conditions, gene variants and ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Abstract: Recent progress in Large Language Models has pushed Text-to-SQL systems closer to enabling natural language queries over complex relational databases. Unfortunately, the models sometimes ...

This is the official repository for the paper "E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL". Translating natural language queries into SQL (Text-to-SQL) is a critical task for ...