Designing Autonomous and Secure AI Workflows in AWS: A Framework for Scalable Intelligence and Financial Inclusion
Keywords:
autonomous AI, secure workflows, AWS architecture, scalable intelligenceAbstract
Designing autonomous and safe AI workflows framework within the Amazon Web Services (AWS) ecosystem stressing scalability, robustness, and financial inclusivity. Presenting a complete framework for using AWS-native services like SageMaker, Lambda, Step Functions, and Control Tower is the aim of this research paper. By means of these services, a suggested architecture ensures strong identity, access control, and data sovereignty protocols, thus facilitating end-to-end setup for machine learning (ML) pipelines.
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