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

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 ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

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

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Snowflake announced the launch of Arctic, a large language model ...

Snowflake Arctic, a New AI LLM for Enterprise Tasks, is Coming to APAC Your email has been sent Data cloud company Snowflake’s Arctic is promising to provide APAC businesses with a true open source ...

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 ...