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

A number of people swear by Google Sheets, while another group is firmly loyal to Excel. I’m somewhere in between, as I use ...

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

New Delhi, 8 Jan’26: Paytm (One 97 Communications Limited), an AI-first software company building large-scale payments and data intelligence platforms, today announced that its proprietary AI system ...

Spider is a large human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task (natural language interfaces for relational databases). It is released along with our EMNLP ...

Google will soon use Gemini 3 for more complex queries within Google Search. Jonathon Heard, Google’s industry head for insurance, told this to an audience at Simply Business’s London headquarters ...

Google Search's superpower has always been its ability to convert: detecting when a query has commercial intent and serving a relevant, high-quality ad to ready-to-buy shoppers. Yet, while advertisers ...

Discover how Tinker and Ray are utilized to fine-tune text-to-SQL models, enhancing AI capabilities in generating efficient SQL queries. In an innovative approach to advancing text-to-SQL models, ...

Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...

Abstract: Designing an efficient and secure collaborative SQL analysis system that supports large-scale dataset inputs is a very challenging task. In this paper, we present FedQuery, an MPC-based ...