LEVERAGING GENAI TECHNIQUES FOR OPTIMISATION IN AI DRIVEN ETL PIPELINE DEVELOPMENT

Authors

  • Mukund Kulkarni Author

DOI:

https://doi.org/10.48047//ijiee.2024.14.4.5

Keywords:

Artificial Intelligence, generative AI, ETL pipeline, Flexibility, Adaptability.

Abstract

This paper focuses on adopting GenAI Techniques to optimise AI-driven ETL Pipeline Development. Generative AI, adds flexibility and intelligence to the process of ETL. By linking manual data pipelines with the ability of AI, companies unlock new paths to optimise and automate how data flows.

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Published

07.04.2024

How to Cite

LEVERAGING GENAI TECHNIQUES FOR OPTIMISATION IN AI DRIVEN ETL PIPELINE DEVELOPMENT . (2024). International Journal of Information and Electronics Engineering, 14(4), 29-38. https://doi.org/10.48047//ijiee.2024.14.4.5