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Global commerce and cloud leader.
Comprehensive suite including SageMaker for custom model development and Bedrock for foundation model access.
Amazon’s open-source policy validation tool for CloudFormation templates.
Provides AI-powered reviews with deep AWS ecosystem integration and strong security vulnerability detection.
Amazon service combining managed CI/CD with SageMaker and CodeGuru for AIpowered deployment support.
Leverages advanced machine learning to identify anomalous spend and root causes.
Deep learning-based cloud service for high-accuracy retail and CPG forecasts.
Combines time-series forecasting and custom ML model development.
Serverless data integration with scaling.
AWS IoT Analytics is an AI-powered solution for cloud IoT data analytics and machine learning.
Managed IoT service with auditing, monitoring, anomaly detection, and remediation tools.
Global commerce and cloud leader.
Part of Amazon Web Services (AWS), offering scalable voice and text chatbot capabilities through a pay-per-use model.
Provides voice-guided setup and control for thousands of compatible smart devices.
Managed service providing access to multiple foundation models including Stable Diffusion and Titan Image Generator, with pay-per-use pricing and AWS…
AWS-native service featuring Application Signals for real-time SLO measurement.
Provides automated code reviews and performance recommendations using machine learning.
Provides specialized capabilities for AWS services integration, valuable for commerce platforms on Amazon’s cloud infrastructure.
AWS defect detection service deployable via cloud or edge integration.
Virtual styling service using AI to analyze reviews and deliver size-specific recommendations.
Proprietary machine learning models that cut product damage by 24% and shipping costs by 5%.
An AWS-native solution optimized for cloud development workflows with usagebased pricing.
Cloud AI and machine learning services for forecasting, optimization, and data pipelines across supply chains.
Provides natural language processing capabilities to identify duplicate requirements and extract key entities.
Cloud-based ML platform supporting integration of third-party event data via the AWS Data Exchange.
Deep AWS integration using machinelearning-based anomaly detection.