The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Citing privacy and security concerns over public large language models, Kinetica is adding a self-developed LLM for generating SQL queries from natural language prompts to its relational database for ...

This extends even further outside of SQL, where the LLM is equipped to handle tasks for decision-making relating to time-series, graph, and spatial expertise. “Kinetica has led the market with ...

Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more In the age of large language models (LLMs) ...

Microsoft has found a new use for natural language processing capabilities in machine learning large language models (LLMs): SQL queries. The company has set up a sandbox for developers and data pros ...