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 ...
Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...
Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...
Matt Kimball, vice president and principal analyst at Moor Insights and Strategy, told VentureBeat the data layer is where ...
Databricks Launches Lakewatch Cybersecurity Platform Ahead of IPO Introduction As organizations increasingly rely on data lakes to store and process ...
Databricks, the Data and AI company, is debuting Lakewatch, a new open, agentic SIEM (Security Information and Event Management) designed to help organizations defend against increasingly ...
With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and ...
Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and ...
Google Search Central announced that Search Console’s branded queries filter is now available to all eligible sites, causing many SEOs to ask questions about it and Google’s John Mueller stepped in to ...
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 ...
Investors are still looking askance at both software-as-a-service and traditional companies that might get disintermediated by AI as well as the AI companies and cloud providers that are spending all ...
Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...