| Abstract |
This chapter explores the transformative role of cloud-based intelligent informative engineering in modern enterprises and industries. It delves into innovations such as data-driven decision-making models, automated knowledge extraction, and real-time analytics that empower organizations to harness the potential of vast datasets. The chapter also highlights the scalability and flexibility offered by cloud platforms through elastic computing resources, multi-cloud strategies, and dynamic workload balancing. Key considerations such as data security, privacy-preserving algorithms, and regulatory compliance are examined to address the challenges associated with cloud adoption. Furthermore, it investigates the diverse applications of these technologies across domains, including healthcare, finance, manufacturing, and smart cities. Finally, the chapter discusses critical challenges like latency, resource constraints, and ethical implications, providing insights into the future direction of cloud-based intelligent © 2025 by IGI Global Scientific Publishing. All rights reserved. |