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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM31134
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
: In the realm of cloud computing, Amazon Web Services (AWS) stands out as a pioneer, offering a versatile platform that integrates seamlessly with artificial intelligence (AI) technologies. Leveraging AWS for AI initiatives provides a scalable and cost-effective solution for businesses across various industries. By harnessing AWS’s vast array of services such as Amazon SageMaker, Rekognition, and Polly, organizations can streamline their AI development process. These services facilitate tasks ranging from data labeling and model training to natural language processing and computer vision. The synergy between AWS and AI empowers businesses to extract valuable insights from vast datasets, automate repetitive tasks, and enhance customer experiences through personalized interactions. Moreover, AWS’s robust infrastructure ensures high availability, security, and compliance, essential for deploying AI applications in production environments. Through the utilization of AI on AWS, companies can optimize operations, drive innovation, and gain a competitive edge in today’s digital landscape. This amalgamation of cloud computing and AI fosters a dynamic ecosystem where businesses can explore new frontiers of efficiency, creativity, and intelligence. As AI continues to evolve, AWS remains at the forefront, providing the tools and resources necessary for organizations to harness the full potential of artificial intelligence and propel themselves into the future of technology.
KEYWORDS
Publication Date
12/31/45408
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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