Technical Review: AI and Human-AI Collaboration in Enterprise Cloud Infrastructure Automation and Platform Engineering for Multi-Cloud Global Healthcare Systems

The integration of artificial intelligence technologies with enterprise cloud infrastructure automation represents a transformative paradigm shift in healthcare digital transformation initiatives. This technical review evaluates the current state and future potential of AI-enhanced cloud automation systems specifically designed for healthcare environments, examining their operational capabilities, implementation challenges, and strategic implications. Contemporary healthcare organizations demonstrate increasing adoption of platforms such as Splunk IT Service Intelligence, ServiceNow ITOM, and Dynatrace that process substantial operational data volumes while maintaining strict regulatory compliance requirements. The evaluation reveals significant opportunities for operational enhancement through intelligent automation systems that dynamically adjust computational resources, implement proactive compliance enforcement mechanisms, and enable context-aware workflow optimization. However, critical challenges persist regarding skill degradation among technical personnel, bias propagation in AI models, integration complexity across multi-cloud environments, and substantial cost barriers that create disparities in healthcare automation capabilities. The technical assessment encompasses AIOps platforms, machine learning frameworks, identity management systems, and workflow orchestration tools, revealing varying maturity levels and healthcare-specific adaptation requirements. Future developments in human-AI collaboration promise enhanced sustainability through energy optimization, improved security through continuous threat detection, and democratized access through low-code development platforms. The convergence of AI and cloud infrastructure automation in healthcare presents substantial opportunities for operational excellence while requiring comprehensive governance frameworks and continuous validation procedures to maintain patient safety and regulatory compliance standards.