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Cloud computing has emerged as a pivotal enabler for the evolution and widespread acceptance of artificial intelligence (AI) and machine learning (ML) technologies. This paper explores the synergistic relationship between cloud computing and AI/ML, highlighting how cloud platforms provide the computational resources, data storage, and scalability required for developing and deploying complex AI models. It examines the various cloud service models and deployment models that cater to different AI/ML needs. The paper also reviews the strengths and limitations of popular cloud service providers for AI/ML workloads. Additionally, it discusses the challenges associated with utilizing cloud computing for AI/ML, such as security, privacy, and management concerns. Overall, this paper underscores the critical role of cloud computing in democratizing AI/ML and driving innovation across industries.

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A Catalyst for Artificial Intelligence and Machine Learning Revolution: Exploring Synergies, Challenges, and the Future of AI/ML in the Cloud

  • 会议论文

  • 发表日期：

    2026年

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  • Advait Sinha,
  • Muhammad Ehsan Rana,
  • Vazeerudeen Abdul Hameed,
  • Abdulaleem Z. Al-Othmani

摘要

Cloud computing has emerged as a pivotal enabler for the evolution and widespread acceptance of artificial intelligence (AI) and machine learning (ML) technologies. This paper explores the synergistic relationship between cloud computing and AI/ML, highlighting how cloud platforms provide the computational resources, data storage, and scalability required for developing and deploying complex AI models. It examines the various cloud service models and deployment models that cater to different AI/ML needs. The paper also reviews the strengths and limitations of popular cloud service providers for AI/ML workloads. Additionally, it discusses the challenges associated with utilizing cloud computing for AI/ML, such as security, privacy, and management concerns. Overall, this paper underscores the critical role of cloud computing in democratizing AI/ML and driving innovation across industries.