Cloud Integration in Artificial Intelligence (AI)
- Authors: Pranali Bhope1, Krupali Dhawale2, Sejal Kumbhare3, Kunika Dhapodkar4
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View Affiliations Hide Affiliations1 Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur, India 2 Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur, India 3 Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur, India 4 Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur, India
- Source: AI in the Social and Business World: A Comprehensive Approach , pp 235-264
- Publication Date: October 2024
- Language: English
Cloud Integration in Artificial Intelligence (AI), Page 1 of 1
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We have entered the new era of the cloud age. Cloud integration has been adopted by companies and is still growing in a rapid way. On the other hand, advances in artificial intelligence have opened up new possibilities that can be used to improve existing cloud technologies. This book chapter explores the integration of cloud computing and artificial intelligence and focuses on the advantages and challenges associated with this integration. It explores the economic benefits of cloud-based AI systems, the cost-effectiveness of cloud integration in AI, potential security and privacy issues associated with storing and processing sensitive AI data in the cloud, and how the use of cloud-based AI platforms helps in resource optimization, knowledge sharing among AI learners and integration of cloud services and AI development projects. The study concludes with a comprehensive assessment of the current state of cloud integration in AI and recommendations for organizations looking to adopt cloud-based AI solutions.
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