Reference Architecture (Version 1.0)

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