Architecting Intelligent Enterprise Platforms with Artificial Intelligence for Secure Cloud Computing and Data Engineering
DOI:
https://doi.org/10.15680/IJMRSETM.2026.0207001Keywords:
Artificial intelligence, intelligent enterprise platforms, secure cloud computing, data engineering, cloud-native architecture, machine learning, cybersecurity, big data analytics, data governance, enterprise digital transformationAbstract
The rapid evolution of digital transformation has accelerated the development of intelligent enterprise platforms that integrate artificial intelligence (AI), secure cloud computing, and advanced data engineering practices. Modern organizations increasingly rely on scalable, adaptive, and secure technological ecosystems capable of processing massive volumes of data, generating actionable insights, and supporting automated decision-making. This research explores the architectural principles, technological frameworks, and methodological approaches involved in designing AI-enabled enterprise platforms that enhance operational efficiency, cybersecurity resilience, and data-driven innovation. The study examines the convergence of artificial intelligence algorithms, cloud-native architectures, distributed data processing, and secure engineering practices to establish reliable enterprise environments. Particular emphasis is placed on machine learning models, data pipelines, cloud infrastructure management, privacy preservation, identity-based security mechanisms, and governance frameworks. The research methodology investigates existing architectural models, evaluates emerging technologies, and analyzes best practices for developing intelligent platforms capable of meeting complex enterprise requirements. The findings highlight that successful AI-driven enterprise platforms require a balanced integration of computational intelligence, secure cloud services, robust data management, and continuous monitoring mechanisms. Such architectures provide organizations with the capability to achieve digital agility, improve decision accuracy, and maintain secure operations in increasingly complex technological landscapes
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