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Design an aws ML architecture with SageMaker for model training and deployment, S3 for data storage, Glue for ETL, Athena for data querying, Lambda for inference endpoints, API Gateway for ML APIs, Kinesis for real-time predictions, Comprehend for NLP, Rekognition for image analysis, and integration with business applications for AI-powered features.