SQL AI is a technology that can generate and execute SQL code to get data insights directly from databases. It is a powerful tool that can help you save time and avoid back-and-forth with your data team or just make your job easier by allowing you to express requirements in plain text and generating tailored SQL for your specifications.
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It enables you to quickly and effortlessly derive custom data analytics and visualise them without waiting for your data team. It can increase SQL query accuracy even with very large database schemas and can be run on connected data sources for increased agility in obtaining data.
Using AI to generate and execute SQL helps streamline development, improves efficiency, increases consistency, and scales with evolving data structures. This can be especially helpful for non-technical teams and users like business analysts, CXOs, or sales leaders that are looking to understand their company’s performance.
AI based solutions for query generation provide an innovative, no-code approach to data analysis that leverages the power of SQL and NoSQL, reducing human error and speeding up the process. It also enables businesses to empower their teams with the same data insights as their technical counterparts.
AI based solutions also allow developers to leverage the power of R and Python to build predictive models. These models can then be used to assess credit loan risk, reduce customer churn, manage hospital admissions, and more. Unlike traditional relational databases, which are optimized for structured data, AI-based database platforms are engineered with the parallel processing architectures required to support machine learning algorithms and other intensive data analytics applications.