by Abhishek Sharma | Jan 7, 2026 | Text Analytics & NLP, Text to SQL
LLM-based text-to-SQL is the process of using Large Language Models (LLMs) to automatically convert natural language questions into SQL database queries. As Generative AI continues to evolve, text to SQL using LLM has emerged as a powerful capability by enabling users...
by Anupama Desai | Jan 5, 2026 | EzInsights, Text to SQL
Let us be honest, writing SQL queries is not something everyone enjoys. Even experienced data professionals can slow down when dealing with complex tables, joins, and schemas. Now imagine allowing business users to ask questions in plain English and instantly receive...
by Abhishek Sharma | Dec 8, 2025 | Large Language Models, Natural Language Processing, Text to SQL
Enterprises today expect analytics to be fast, accurate, and accessible to everyone, not just technical teams. But traditional dashboards and SQL heavy workflows still rely on developers or analysts to translate business questions into queries. That is why Text to SQL...
by Abhishek Sharma | Sep 3, 2025 | Large Language Models, Structured Data, Text to SQL
Text-to-SQL has emerged as a breakthrough in natural language processing (NLP), allowing non-technical users to query databases using plain English instead of manually writing complex SQL. Enterprises across industries—from banking to healthcare—are adopting this...
by Abhishek Sharma | Jul 24, 2025 | Generative AI, Structured Data, Text to SQL
In today’s fast-paced business world, having access to real-time insights is not a luxury, it is a necessity. Whether it is a product manager monitoring adoption metrics or a CFO analyzing departmental spend, timely data can determine whether a company misses an...
by Abhishek Sharma | Jul 10, 2025 | Natural Language Processing, Text to SQL
In today’s data-driven healthcare world, tracking patient outcomes in real time is more important than ever. It helps doctors make faster decisions, improves hospital operations, and leads to better patient care. But most Electronic Health Records (EHRs) and clinical...