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Intelligent Energy-Cloud Manufacturing: Autonomous Compliance and Trusted AI Architectures
Intelligent Digital Trust Architectures: AI, Compliance, and Infrastructure Across Connected Industries explores the evolving foundations of secure, intelligent, and compliant digital ecosystems in an era driven by AI, cloud computing, and interconnected enterprise platforms. The book presents advanced strategies for designing scalable digital trust architectures that support modern industries including telecommunications, healthcare, finance, media, and smart infrastructure.
Through detailed discussions on artificial intelligence, cybersecurity, cloud-native systems, autonomous compliance, governance frameworks, and real-time analytics, the authors demonstrate how organizations can build resilient and trustworthy digital platforms capable of operating across highly regulated environments. The book also examines zero-trust security models, explainable AI, data governance, intelligent automation, and distributed infrastructure for next-generation enterprise ecosystems.
Combining architectural blueprints, practical industry use cases, and future-oriented technology frameworks, the book provides engineers, enterprise architects, technology leaders, researchers, and digital transformation professionals with actionable insights for implementing trusted AI systems at scale. It serves as a comprehensive guide to building secure, adaptive, and intelligent infrastructures that enable innovation while maintaining transparency, regulatory compliance, operational resilience, and customer trust across connected industries.
Through detailed discussions on artificial intelligence, cybersecurity, cloud-native systems, autonomous compliance, governance frameworks, and real-time analytics, the authors demonstrate how organizations can build resilient and trustworthy digital platforms capable of operating across highly regulated environments. The book also examines zero-trust security models, explainable AI, data governance, intelligent automation, and distributed infrastructure for next-generation enterprise ecosystems.
Combining architectural blueprints, practical industry use cases, and future-oriented technology frameworks, the book provides engineers, enterprise architects, technology leaders, researchers, and digital transformation professionals with actionable insights for implementing trusted AI systems at scale. It serves as a comprehensive guide to building secure, adaptive, and intelligent infrastructures that enable innovation while maintaining transparency, regulatory compliance, operational resilience, and customer trust across connected industries.
