AI in Cloud Ops

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@article{1705203,
      author = {Anand Kumar Chennupati},
      title = {AI in Cloud Ops},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {5},
      pages = {259-265},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705203.pdf},
      abstract = {The management and optimization of cloud-based services have advanced significantly with the introduction of Artificial Intelligence (AI) into cloud operations. This study examines how artificial intelligence (AI) is revolutionizing cloud operations, with a particular emphasis on resource efficiency, automation, intelligent monitoring, security, and performance management. Cloud service providers may increase operational efficiency, save costs, increase dependability, and provide better user experiences by utilizing cutting-edge AI techniques like machine learning, natural language processing, and deep learning. Notwithstanding the many advantages, there are drawbacks to implementing AI in cloud operations, such as issues with data protection, integration complexity, and the requirement for specialist knowledge. This study highlights the ongoing development of AI technologies and their growing importance in cloud operations, as well as future trends and possible breakthroughs in this field.},
      keywords = {artificial intelligence (ai), cloud operations (Cloud Ops), automation, resource optimization, predictive analytics},
      month = {November},
  }