Autonomous Enterprise Computing through AI Driven Cloud Native Architecture and Predictive Decision Intelligence
Abstract
Autonomous Enterprise Computing represents a transformative approach to modern organizational information systems by integrating artificial intelligence, cloud-native architectures, automation frameworks, and predictive decision intelligence into a unified computing ecosystem. Traditional enterprise computing models depend heavily on human intervention, static infrastructure, and reactive decision-making processes, limiting organizational agility and scalability. The emergence of AI-driven cloud-native platforms enables enterprises to develop self-optimizing, adaptive, and intelligent environments capable of analyzing complex data streams, predicting future scenarios, and autonomously executing operational decisions. This research explores the conceptual foundations, technological components, and strategic implications of autonomous enterprise computing through the integration of machine learning algorithms, containerized cloud infrastructures, intelligent automation, digital twins, edge computing, and advanced analytics. The study examines how predictive decision intelligence enhances enterprise capabilities by transforming historical and real-time data into actionable insights that support proactive business strategies. The research methodology investigates existing theoretical models, technological frameworks, and industrial implementations to evaluate the effectiveness, challenges, and future potential of autonomous computing environments. The findings highlight that AI-driven cloud-native architectures can improve operational efficiency, resilience, innovation capacity, and competitive advantage while introducing challenges related to governance, cybersecurity, ethical AI deployment, and organizational transformation. The research contributes to understanding the evolution toward self-managing digital enterprises and provides insights into designing sustainable autonomous computing ecosystems
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 6 No. 2 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
11217-11229 |
Published |
March 19, 2023 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Carlos Buenosvinos (2023). Autonomous Enterprise Computing through AI Driven Cloud Native Architecture and Predictive Decision Intelligence. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 6 No. 2 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 11217-11229. https://doi.org/10.15662/IJAESIT.2023.0602002 |
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