The after-conference proceeding of the AIR 2025 will be published in SCOPUS indexed Springer book series "Lecture Notes in Networks and Systems"

Mr. Deepak Chanda

AI-Powered Data Engineering: Automating Pipelines for a Smarter Future

Abstract: 

As we have entered the era of big data and Artificial Intelligence (AI), organizations are changing the way they manage and process information. Conventional data engineering systems have extensive manual operations that are time-consuming and error-prone. With the potential to feed into the data pipeline and leverage automation, intelligence, and adaptability, AI-powered data engineering takes an edge over data engineering with traditional techniques for better performance and ease. In this article, we will explain how AI is transforming data pipeline automation, its impact on underlining data processing in real-time, smart data transformation, and predictive analytics. When it comes to data management, finding AI-driven solutions offered by SIAM consultants is the best way forward.