Although the cloud has defaulted into the IT infrastructure of today, conventional manual techniques cannot adequately control its scope and complexity. This chapter offers a thorough framework for artificial intelligence-led cloud transformation spanning operational, structural, and executive levels. Methodologically, this study compiles architectural models, current industry surveys, and actual case studies to track AI’s growing influence in cloud migration, AIOps, and multi-cloud optimization. AI is the driving force behind quantifiable efficiency, resiliency, and sustainability gains; it is no more a sidekick in the cloud. This research confirms that AI is now much more than a sidekick in the cloud; it’s a driving force behind the recent innovations, resilience, and efficiency we've seen in cloud systems.

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AI-Driven Cloud Transformation

  • Jyoti Kunal Shah,
  • Nixalkumar Patel

摘要

Although the cloud has defaulted into the IT infrastructure of today, conventional manual techniques cannot adequately control its scope and complexity. This chapter offers a thorough framework for artificial intelligence-led cloud transformation spanning operational, structural, and executive levels. Methodologically, this study compiles architectural models, current industry surveys, and actual case studies to track AI’s growing influence in cloud migration, AIOps, and multi-cloud optimization. AI is the driving force behind quantifiable efficiency, resiliency, and sustainability gains; it is no more a sidekick in the cloud. This research confirms that AI is now much more than a sidekick in the cloud; it’s a driving force behind the recent innovations, resilience, and efficiency we've seen in cloud systems.