Loop8 ML/AI Quickstart on AWS

Loop8's ML/AI Quickstart helps organizations move from ML experimentation to production with a structured approach using AWS's comprehensive ML services.

What's Included:

• ML use case identification and prioritization
• Data assessment and preparation strategy
• Model development using Amazon SageMaker
• Feature engineering and model training
• Model evaluation and optimization
• MLOps pipeline implementation
• Production deployment with monitoring
• A/B testing and model versioning setup
• Team enablement and knowledge transfer

AWS Services Utilized:

• Amazon SageMaker (Studio, Training, Endpoints)
• Amazon SageMaker Pipelines
• Amazon SageMaker Model Monitor
• AWS Step Functions for ML workflows
• Amazon S3 for data lake integration
• Amazon Bedrock for generative AI use cases

Engagement Duration: 6-10 weeks

Ideal For:

• Organizations starting their ML journey
• Teams with successful experiments ready for production
• Companies seeking to implement MLOps practices
• Businesses exploring generative AI opportunities