Organization of above Reference Architecture
RAW ML ASSETS MANAGEMENT
- ML Libraries
- Untrained BOTs & Engines Repository
- Deep Learning Neural Networks Repository
TRAINING & KNOWLEDGE DISCOVERY LAYER
- Training Data Acquisition & Management
- Data Pre-processing
- Unsupervised ML Services & Data Pattern Discovery
- BOT Testing and Validation
KNOWLEDGE MANAGEMENT LAYER
- Knowledge Mining
- Knowledge Repository
- Knowledge Associations & Aggregations
- Continuous Knowledge Acquisition
- Knowledge Transition & Replacement
BOT ASSET MANAGEMENT
- BOT Store
- BOT Service Registry
- ML Supportive Services Registry
- BOT Performance Management
BOT DEPLOYMENT & USAGE LAYER
- BOT Execution Environment
- Embedded BOT Services
- Knowledge Access Services
- BOT Performance Feedback for Re-training & Retirement