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

People spend months building the "perfect" PKM systems across platforms like Logseq and Obsidian. I once had nested ...

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 ...

With Claude Code using Next.js and Superbase you can ship faster and quickly deploy for easy sharing and monitization ...

SQL Server Management Studio (SSMS) is the tool of choice for most developers when managing SQL Server and the relational data stored in it. Microsoft recently outlined plans for SSMS 22, currently in ...

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 ...