AI-Enhanced Data Engineering: Bridging Cloud Computing and Machine Learning

Abstract

In the rapidly evolving landscape of data engineering, the integration of artificial intelligence (AI) with cloud computing is revolutionizing how data is managed, processed, and analyzed. This paper explores the synergistic relationship between AI and cloud computing, highlighting how AI techniques can enhance data engineering practices to address challenges such as scalability, efficiency, and real-time processing. We investigate various AI-driven approaches, including machine learning algorithms, predictive analytics, and automated data pipelines, and their application in cloud environments. By examining case studies and real-world implementations, this study demonstrates how AI can optimize data workflows, improve decision-making, and drive innovation in cloud-based data engineering. The findings underscore the potential of AI to bridge gaps in current data engineering practices and pave the way for more intelligent and adaptive cloud computing solutions.