AI Driven Autonomous Enterprise Platform for Secure Data Migration Cloud Integration and Intelligent Decision Analytics
DOI:
https://doi.org/10.15662/IJEETR.2022.0404009Keywords:
Autonomous Enterprise, Cloud Integration, Secure Data Migration, Intelligent Analytics, Machine Learning, Zero-Trust ArchitectureAbstract
This paper introduces a novel AI-Driven Autonomous Enterprise Platform (ADAEP) designed to orchestrate secure data migration, seamless multi-cloud integration, and real-time intelligent decision analytics. Traditional enterprise migration strategies are plagued by high latency, security vulnerabilities, and manual integration bottlenecks. To address these critical challenges, the proposed platform leverages decentralized machine learning pipelines, autonomous policy-enforcement agents, and advanced cryptographic validation frameworks. By utilizing predictive telemetry and deep reinforcement learning, ADAEP dynamically optimizes cloud resource allocation, mitigates data loss during transit, and provides prescriptive analytics for complex enterprise workflows. Furthermore, the platform integrates continuous zero-trust security postures alongside automated data classification to ensure regulatory compliance across heterogeneous cloud environments. Experimental evaluations demonstrate that the autonomous platform reduces data migration timelines by up to 40%, enhances anomaly detection sensitivity by 25%, and minimizes human intervention in complex multi-cloud deployments. Ultimately, this research provides a comprehensive blueprint for next-generation enterprise ecosystems, proving that end-to-end autonomy can coexist with uncompromising security and robust decision-making frameworks.References
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