A Strategic Framework for AI, Machine Learning, and Generative AI Adoption in AWS Cloud Environments

Authors

  • Vinay Kumar Deeti Arrowstreet Capital, Limited Partnership, USA Author

DOI:

https://doi.org/10.55662/

Keywords:

Artificial Intelligence, Machine Learning, Generative AI, AWS, SageMaker

Abstract

Integration of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) with AWS cloud environments has created a model shift in enterprise digital transformation strategies. The objective of this paper is to propose a comprehensive strategic framework which guides the systematic adoption of these technologies at the same time highlighting architectural consideration, model lifecycle orchestration, cost-optimization, scalability, and regulatory compliance.

Downloads

Download data is not yet available.

References

A. Smith, J. Doe, and R. Brown, "Cloud-Based Machine Learning: Enabling AI at Scale," IEEE Transactions on Cloud Computing, vol. 10, no. 2, pp. 452-463, 2023.

M. Patel, S. Chen, and L. Zhang, "Generative AI in the Cloud: A New Paradigm for Machine Learning Applications," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 5, pp. 1072-1083, 2024.

T. Johnson and H. Miller, "AI Model Lifecycle Management: From Training to Deployment," IEEE Software, vol. 41, no. 7, pp. 77-84, 2023.

A. Kumar, S. Gupta, and M. Roy, "Amazon SageMaker: A Platform for Accelerating Machine Learning and AI Adoption," IEEE Cloud Computing, vol. 12, no. 3, pp. 32-40, 2024.

L. Green, "Serverless AI: Leveraging AWS Bedrock for Scalable Foundation Model Deployment," IEEE Transactions on Cloud Services, vol. 11, no. 1, pp. 64-71, 2024.

B. Thompson and V. Walker, "Optimizing Model Training with Amazon Inferentia and Trainium," IEEE Transactions on High-Performance Computing, vol. 18, no. 6, pp. 890-900, 2023.

R. Harris, "Data Pipeline Management: Orchestrating Machine Learning Workflows with AWS Services," IEEE Big Data Research, vol. 19, no. 2, pp. 121-134, 2024.

P. Wilson and T. Carter, "AI Governance in Cloud Environments: Ethical Frameworks and Risk Mitigation," IEEE Transactions on Cloud Computing, vol. 21, no. 9, pp. 342-352, 2023.

S. Bell and M. Chang, "Exploring Multi-Tenant AI Deployments: Architecture and Design Considerations," IEEE Access, vol. 12, pp. 4235-4247, 2024.

J. McDonald, "Fine-Tuning Large Models with AWS Bedrock for Specific Use Cases," IEEE Transactions on Machine Learning, vol. 15, no. 3, pp. 160-170, 2024.

L. Zhao, K. Singh, and C. Gupta, "Model Monitoring and Drift Detection in AWS ML Workflows," IEEE Transactions on Artificial Intelligence, vol. 23, no. 6, pp. 500-510, 2024.

J. Adams and F. Lewis, "Reinforcement Learning with Human Feedback in Generative AI," IEEE Transactions on Neural Networks, vol. 14, no. 8, pp. 1425-1436, 2023.

D. Clark and S. White, "AI in Cloud: Best Practices for Cost Optimization in AWS ML Environments," IEEE Cloud Computing, vol. 13, no. 4, pp. 39-46, 2024.

A. Tan and G. Lee, "Hybrid Cloud Architectures for Federated Machine Learning," IEEE Transactions on Distributed Computing, vol. 28, no. 3, pp. 275-284, 2023.

N. Davis and S. Evans, "Cost-Efficiency Strategies in Cloud-Based AI Deployments," IEEE Transactions on Cloud Services, vol. 12, no. 2, pp. 112-123, 2024.

V. Rao, "The Role of Quantum Computing in Enhancing AI Models on AWS," IEEE Transactions on Quantum Computing, vol. 3, no. 1, pp. 56-65, 2024.

M. Scott and L. Peterson, "Secure AI and Data Privacy in AWS Environments," IEEE Transactions on Information Forensics and Security, vol. 19, no. 6, pp. 1107-1116, 2023.

K. Zhang, H. Tan, and W. Yao, "Edge-AI with AWS Greengrass: A Comprehensive Overview," IEEE Transactions on Edge Computing, vol. 11, no. 4, pp. 250-262, 2024.

R. Thomas, "Generative AI for Automation of Documentation and Content Generation," IEEE Software Engineering Review, vol. 35, no. 7, pp. 15-24, 2023.

M. Rodriguez, S. Ray, and P. Yang, "AI Model Integration and Orchestration in AWS: A Case Study," IEEE Cloud Computing Journal, vol. 10, no. 6, pp. 204-217, 2023.

Downloads

Published

16-07-2024

How to Cite

Vinay Kumar Deeti. “A Strategic Framework for AI, Machine Learning, and Generative AI Adoption in AWS Cloud Environments”. Asian Journal of Multidisciplinary Research & Review, vol. 5, no. 4, July 2024, pp. 42-56, https://doi.org/10.55662/.

Similar Articles

1-10 of 77

You may also start an advanced similarity search for this article.