The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...
Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...
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 ...
Abstract: Recent progress in Large Language Models has pushed Text-to-SQL systems closer to enabling natural language queries over complex relational databases. Unfortunately, the models sometimes ...
I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...
Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
End‑to‑End DWBI Project Overview Built a scalable, maintainable pipeline—from data modeling through synthetic data generation and automated Snowflake ingestion to interactive Power BI dashboards—using ...
Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
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