Vincent Gosselin
- Since 2021, CEO & Co-Founder at Taipy, the fastest way to build a complete application in Python.
- 2010-2021: Expert Data Scientist at IBM.
- Headed the development of strategic AI applications with large ROI for large companies: TSMC, McDonald's, Dassault Aviation, Port Of Hong Kong, Carhartt, St MicroElectronics, etc.
- Develop novel AI streaming models to optimize the production of Wafer fabs. These have become a standard for the semicon industry (Samsung, TSMC, ST Micro, etc.).
After having implemented AI models over the years for the manufacturing, logistics, and retail sectors, I spent most of the past decade mentoring young data scientists. My quest is now to make Python developers much more successful at developing & deploying applications for business users.
Sessions
We will present Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and managing algorithms, pipelines, and scenarios.
It is composed of two main independent components:
- Taipy Core
- Taipy GUI.
In this talk, participants will learn how to use the following:
- Taipy Core to create scenarios, use models, retrieve metrics easily, version control their application configuration,
- Taipy GUI to create an interactive and powerful user interface in a few lines of code.
- Taipy Studio, a brand-new pipeline graphical editor inside VS Code, also facilitates the creation of scenarios and pipelines.
They will be used to build a complete interactive AI application where the end user can explore data and execute pipelines (make predictions) from within the application.
With Taipy, the Python developer can transform simple pilots into production-ready end-user applications. Taipy GUI goes way beyond the capabilities of the standard graphical stack: Gradio, Streamlit, Dash, etc.
Similarly, Taipy Core is simpler yet more powerful than the standard Python back-end stack.