Revolutionizing the Cloud: Generative AI, Security, and Sustainability

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Bol Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures. This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.

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Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures. This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.


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Merk Springer
EAN
  • 9783032074782
Maat


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