One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

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

Kinetica began offering a ChatGPT interface earlier this year, but company executives said database query accuracy can be a problem with the open Gen AI technology and customers have expressed ...

Kinetica, the real-time database for analytics and generative AI, is launching Quick Start, a large language model (LLM)-based solution that converts natural language to SQL on enterprise data.

Kinetica, the speed layer for generative AI and real-time analytics, is integrating with a native large language model (LLM) that enables consumers to use natural language to perform ad-hoc analysis ...

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 ...

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

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 ...