In the past, when developing new prototypes, such as a new machine learning model or ranking model, the team faced challenges deploying them. The process involved multiple stages, which limited collaboration among team members.
Streamlining deployment & enabling quick prototyping with Posit Team
Emad Khazraee, Senior Director of Data Science at Turing recently shared his experience working with Posit. Their team uses data science to support decision-making across the company and enhance their products through data-driven insights.
Quickly prototyping new ideas
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.
About Turing
Turing is a data-science-driven deep jobs platform helping companies spin up their engineering teams in the cloud at the push of a button. Their Intelligent Talent Cloud uses AI to source, vet, match, and manage over 3 million developers worldwide. This, in turn, helps organizations save valuable time and resources as they build their dream engineering team in a matter of days.