Ryosuke TANNO
He is a Research Engineer at a telecommunications company in Japan, specializing in developing web applications for data analysis. He is actively involved in the development of “Node-AI” (https://nodeai.io/), a no-code AI development tool designed for time-series data analysis.
Session
This session introduces PandasAI, a Python library that leverages large language models to streamline data tasks from processing and cleaning to visualization and feature creation through conversational interfaces.
You will learn how PandasAI simplifies workflows by allowing you to query your data and generate analyses without diving deep into complicated code. We will explore real-world examples, discuss best practices, and address potential challenges. By the end of this session, you will have a clear understanding of how to apply conversational data analysis to your projects, making your data work more intuitive and efficient.
Are you ready to experience a paradigm shift in data analysis brought by generative AI? Instead of writing complex analytical code, imagine interacting with your data in plain natural language.