Companies are spending millions on AI, but a flaw in database strategy is eating returns

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...
AOL

Demystifying structured data: How to speak an LLM’s native language

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...
ascopubs.org

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
9NEWS

CU linguistics professor creates database, helps preserve Northern Arapaho Tribe language

BOULDER, Colo. — For years, the number of people who could speak the Arapaho language has been dwindling. But a linguistics professor at CU Boulder is collaborating with the Northern Arapaho Tribe to ...
ahajournals.org

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data

While International Classification of Diseases, Tenth Revision codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health ...
marktechpost

Meet WrenAI: The Open-Source AI Business Intelligence Agent for Natural Language Data Analytics

WrenAI is an open-source Generative Business Intelligence (GenBI) agent developed by Canner, designed to enable seamless, natural-language interaction with structured data. It targets both technical ...