Overview:
Amazon SageMaker is a fully managed service that enables you to build, train, and deploy machine learning models at scale — without managing the underlying infrastructure.
How We Use It:
WaterApps uses SageMaker to power intelligent applications and AI-driven features for businesses. We streamline the end-to-end ML lifecycle — from data preparation and model training to scalable deployment and monitoring.
Capabilities Delivered:
End-to-end ML Model Lifecycle Management
Scalable Model Training & Hosting
Real-Time Inference & Batch Predictions
Integration with S3, Lambda, and Event-Driven Workflows