Intelligent Enterprise Technologies for Cloud Native Computing Autonomous Operations Data Analytics and Cybersecurity
DOI:
https://doi.org/10.21590/Keywords:
Artificial Intelligence, Intelligent Enterprise Technologies, Cloud-Native Computing, Autonomous Operations, Data Analytics, Cybersecurity, Machine Learning, DevSecOps, Kubernetes, Microservices, Predictive Analytics, Digital Transformation, Cloud Security, Enterprise Architecture, Business IntelligenceAbstract
Intelligent enterprise technologies have become fundamental to modern organizations seeking to improve operational efficiency, strengthen cybersecurity, and accelerate digital transformation through cloud-native computing, autonomous operations, and advanced data analytics. The convergence of artificial intelligence (AI), machine learning, cloud-native architectures, and intelligent automation enables enterprises to build scalable, resilient, and secure digital ecosystems capable of adapting to dynamic business environments. Cloud-native computing provides flexible infrastructure through microservices, containerization, orchestration platforms, and continuous integration and deployment, while autonomous operations reduce manual intervention by enabling intelligent monitoring, predictive maintenance, and automated decision-making. Advanced data analytics transforms vast volumes of structured and unstructured organizational data into actionable insights that support strategic planning, operational optimization, and personalized customer experiences. Cybersecurity remains a critical component of intelligent enterprise technologies by protecting digital assets, ensuring regulatory compliance, and mitigating increasingly sophisticated cyber threats through AI-powered detection and automated response mechanisms. Despite numerous advantages, organizations face challenges related to legacy system integration, workforce skill development, ethical AI implementation, data governance, and evolving cybersecurity risks. This study investigates the role of intelligent enterprise technologies in supporting cloud-native computing, autonomous operations, data analytics, and cybersecurity using a qualitative research methodology based on secondary data analysis. The findings demonstrate that strategic governance, technological innovation, organizational readiness, and continuous learning are essential for achieving resilient, secure, and sustainable enterprise transformation.
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