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“AI and Cloud Computing,” discusses the symbiotic relationship between artificial intelligence (AI) and cloud computing, highlighting the latter’s critical role as a platform enabling the extensive computational needs of AI technologies. The chapter articulates how cloud computing fundamentally changes the AI landscape by providing scalable, on-demand computational resources and storage, facilitating tasks like training complex machine learning models that would otherwise be unmanageable for standalone machines or local servers. This section further explores how cloud computing’s capability for parallel processing and its economic advantages, leveraging economies of scale, make AI more accessible and cost-effective, democratizing its use among startups and individual innovators alike.
Throughout the chapter, readers can expect a comprehensive journey through various facets of cloud-based AI. It begins by defining cloud-based AI and examining its advantages and challenges, then moves on to a critical analysis of the offerings from major cloud providers such as AWS, Azure, Google Cloud, and IBM Watson. The discussion extends to deployment models (on-premises, cloud, and hybrid), the economics of cloud-based AI, technical infrastructure, industry-specific applications, and the regulatory and ethical considerations that come with it. The chapter also anticipates future trends in cloud-based AI, promising an enlightening exploration for developers, business leaders, and tech enthusiasts interested in the intersection of AI and cloud computing technologies.