Abstract

Integrating generative artificial intelligence (GenAI) into statistical practices offers transformative opportunities to enhance methodologies and efficiency. A practical demonstration of this potential is a "SAS to R code translator" that employs advanced AI models to convert SAS code into R. This tool addresses significant challenges like prompt engineering to ensure accurate and reliable code translation, adhering to best practices and organizational standards. By effectively tackling these technical hurdles, the initiative illustrates how statisticians can boost their analytical capabilities and streamline processes while ensuring code quality. This advancement streamlines code workflows and enhances overall efficiency. Ultimately, statisticians perform the final review and validation of the translated code, maintaining professional oversight and accuracy. This approach sets a benchmark for future adoption of cutting-edge technologies, emphasizing the necessity of pairing innovation with strict standards of security and reliability in the evolving landscape of statistical analysis.