Abstract: At Pfizer, we are committed to enhancing the capabilities of our statistical programmers by leveraging GenAI. Our goal is to empower R users with AI tools to streamline workflows and boost productivity. We have integrated GitHub Copilot within the RStudio IDE, resulting in significant time savings and improved documentation. Additionally, we introduced the voxr package, which simplifies interaction with our internal Vox LLM API, enabling tasks such as text generation and sentiment analysis using state-of-the-art language models.
  This presentation will showcase the features we’ve developed, and the experimentation conducted to enhance productivity and LLM model interaction across the organization. We have observed significant time savings driven by improved debugging, documentation, and custom training. This presentation will discuss the features we have built, and the development and testing conducted to address key challenges, such as integration with external open-source efforts, ensuring responsible use, and improving performance by providing the right context. By expanding access to these tools and providing custom training, we aim to create a more empowered and productive user base.
Speaker: Sam Parmar
Affiliation: Pfizer
Title: Enabling GenAI Capabilities for Statistical Programmers
Abstract_Sanitzed: At Pfizer, we are committed to enhancing the capabilities of our statistical programmers by leveraging GenAI. Our goal is to empower R users with AI tools to streamline workflows and boost productivity. We have integrated GitHub Copilot within the RStudio IDE, resulting in significant time savings and improved documentation. Additionally, we introduced the voxr package, which simplifies interaction with our internal Vox LLM API, enabling tasks such as text generation and sentiment analysis using state-of-the-art language models. This presentation will showcase the features we’ve developed, and the experimentation conducted to enhance productivity and LLM model interaction across the organization. We have observed significant time savings driven by improved debugging, documentation, and custom training. This presentation will discuss the features we have built, and the development and testing conducted to address key challenges, such as integration with external open-source efforts, ensuring responsible use, and improving performance by providing the right context. By expanding access to these tools and providing custom training, we aim to create a more empowered and productive user base.