Can generative AI transform data quality? a critical discussion of ChatGPT’s capabilities
Year: 2024
Type: article
Abstract: Data quality (DQ) is a fundamental element for the reliability and utility of data across various domains. The emergence of generative AI technologies, such as GPT-4, has introduced innovative methods for automating data cleaning, validation, and enhancement processes. This paper investigates the role of generative AI, particularly ChatGPT, in transforming data quality. We assess the effectiveness of these technologies in error identification and correction, data consistency validation, and metadata enhancement. Our study includes empirical results demonstrating how generative AI can significantly improve DQ. The findings suggest that generative AI and ChatGPT have a transformative impact on data management practices, offering new opportunities for enhancing data quality across various applications.
Source: Academia Engineering
DOI: 10.20935/acadeng7407
Author: Otmane Azeroual
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404837471