AI-Enabled Enterprise Transformation through Predictive Analytics and Cyber Threat Intelligence with Human–AI Collaboration in Secure Cloud Environments
DOI:
https://doi.org/10.15662/IJRAI.2024.0705014Keywords:
AI-Enabled Enterprise Transformation, Predictive Analytics, Cyber Threat Intelligence, Human–AI Collaboration, Secure Cloud Computing, Enterprise Analytics, Cybersecurity Analytics, Cloud-Native Architecture, Intelligent Decision SupportAbstract
AI-enabled enterprise transformation has become a strategic imperative as organizations seek to enhance decision-making, security resilience, and operational efficiency in increasingly complex digital environments. This paper presents an integrated framework for enterprise transformation through predictive analytics and cyber threat intelligence with human–AI collaboration in secure cloud environments. The proposed approach combines advanced machine learning models for forecasting business and operational outcomes with real-time cyber threat intelligence to proactively identify, assess, and mitigate security risks. Human–AI collaboration is embedded across analytical and governance layers to ensure explainability, ethical oversight, and domain-informed decision support. Secure cloud architectures provide scalability, interoperability, and resilience while enabling privacy-preserving data processing across distributed enterprise systems. The framework supports multi-industry use cases including financial services, claims management, supply chain optimization, and critical enterprise operations. By unifying predictive intelligence, cybersecurity analytics, and collaborative AI workflows, the proposed model enables enterprises to achieve data-driven transformation while maintaining trust, compliance, and security. This work contributes a holistic perspective on aligning AI-driven analytics with human expertise and secure cloud infrastructures to support sustainable and resilient enterprise modernization.References
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