Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines

Autor: Vargas-Solar, Genoveva, Cerquitelli, Tania, Espinosa-Oviedo, Javier A., Cheval, François, Buchaille, Anthelme, Polgar, Luca
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: This paper proposes a conversational approach implemented by the system Chatin for driving an intuitive data exploration experience. Our work aims to unlock the full potential of data analytics and artificial intelligence with a new generation of data science solutions. Chatin is a cutting-edge tool that democratises access to AI-driven solutions, empowering non-technical users from various disciplines to explore data and extract knowledge from it.
Databáze: arXiv