How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.

Oracle AI Database 26ai was built to provide value right from the start. This data platform enhances performance stability, enables in-database AI, and reduces operational costs without requiring ...

Who are these scripts for? You need to troubleshoot performance problems with SQL Server, and you need to do it now. You don't have time to track down a bunch of DMVs, figure out Extended Events, ...

Cloud Big Data analytics, AI/ML expert. Venkata Ram Anjaneya Prasad Gadiyaram(aka Ram Ghadiyaram) is a seasoned Cloud Big Data analytics, AI/ML , mentor, and innovator You probably understand just how ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Figure: Pipeline for Dialect Text-to-SQL Data Generation and Model Training. The framework consists of three stages: (1) Translation Bootstrapping: A bootstrap text-to-SQL model is fine-tuned using ...

As proposed by business consultant and author Geoffrey Moore, "Without big data, you are blind and deaf in the middle of a freeway." Data is not only an asset these days in high-stakes business. It is ...