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 ha ...

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

How AI foundation models trained on DNA could transform plant biology ...

Open AI models have become a cornerstone of modern innovation. From startups building new products to enterprises optimizing operations, organizations ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

GPT-5.4 cited brand websites at a far higher rate than GPT-5.3. There was almost no citation overlap between models on the same prompts. Most domains cited by GPT-5.4 didn't appear in Google or Bing ...

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 ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

From Bitcoin to Dogecoin, major AI models predict price ranges and the catalysts that could shape crypto markets in the year ahead. Artificial intelligence is no longer just a research tool for ...

OpenAI has quietly reversed a major change to how hundreds of millions of people use ChatGPT. On a low-profile blog that tracks product changes, the company said that it rolled back ChatGPT’s model ...