Turing’s data science team utilizes Python and VS Code within Posit Workbench, deploying their work to the Posit Connect platform.
In a highlighted use case, Posit Connect empowers Turing’s data science team to prototype new ideas, such as a semantic search system that is empowered by a large language model (LLM). Instead of investing engineering resources to develop a full-fledged product without certainty of success, they first deploy machine learning models as Streamlit applications to Connect. This approach allows them to quickly share these prototypes with cross-functional partners and stakeholders within the company for feedback and evaluation.
Emad Khazraee emphasized, “That’s one of the most successful things. Within a day, you can deploy a new idea and use it.” With Posit Connect, the deployment process was swift and involved contributions from multiple team members in different iterations. The tool continuously received feedback from stakeholders, ultimately leading to its adoption for full product development.