While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...

Thanks to the technology behind ChatGPT, it’s become surprisingly simple to query a data set in plain English. As with most generative AI, results from OpenAI’s API are still imperfect, which means ...

Data lakehouse company Dremio Corp. is jumping on the generative artificial intelligence bandwagon, launching a new Text-to-SQL capability today and announcing additional features to come later. The ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...

Snowflake combines its proprietary SQL generation model with the Mistral Large text generation model to create a text-to-SQL engine for Snowflake Copilot. The development of Copilot benefits from ...

Discover how Meta Llama 3's precision, powered by cutting-edge prompt engineering and seamless AWS integration, empowers ...

JSON has stolen some of XML's thunder with features such as human and machine readability, a lightweight, compact text structure and support for many software and hardware platforms. JSON (JavaScript ...