Abstract: Over the past 7 years, NEST packages have been established as a default toolkit for generating clinical insights at Roche. Starting this year, all the new clinical trials will adopt NEST tools by default for their reporting events. To reduce change management burden and boost data scientist’s productivity and efficiency at work, we started leveraging the latest GenAI technologies and built a chatbot that could help beginners to learn about the new open-source R packages introduced to their daily work. In this talk, we will share our journey so far of NExpert, an in-house GenAI-enabled chatbot for NEST and other open-source toolkits, and how we envision GenAI/LLM could be embedded in the daily work of data scientists in our industry.
Speaker: Vincent Shen
Affiliation: Roche
Title: Integrating GenAI with Open-Source Toolkit for Insights Generation to Boost Data Science Efficiency
Abstract_Sanitzed: Over the past 7 years, NEST packages have been established as a default toolkit for generating clinical insights at Roche. Starting this year, all the new clinical trials will adopt NEST tools by default for their reporting events. To reduce change management burden and boost data scientist’s productivity and efficiency at work, we started leveraging the latest GenAI technologies and built a chatbot that could help beginners to learn about the new open-source R packages introduced to their daily work. In this talk, we will share our journey so far of NExpert, an in-house GenAI-enabled chatbot for NEST and other open-source toolkits, and how we envision GenAI/LLM could be embedded in the daily work of data scientists in our industry.