AI, Automation & Digital Finance
F1 AI Foundations
What the words mean. Algorithm, machine learning, neural network, training data.
- CompareView comparisonTopic 01
Artificial Intelligence
Topic 02Machine Learning
F2 Generative AI
The current wave. Language models, retrieval, grounding and hallucination.
- CompareView comparisonTopic 01
Generative AI
Topic 02Predictive AI: Text Against a Value
- CompareView comparisonTopic 01
Prompting
Topic 02Fine Tuning: Changing the Instruction or the Model
- CompareView comparisonTopic 01
RAG
Topic 02Fine Tuning: Supplying Material or Changing the Model
F3 Automation and Workflow
Moving work without moving people. Rules, straight-through processing, exceptions.
- CompareView comparisonTopic 01
Automation
Topic 02Augmentation: Replacing Work and Assisting It
- CompareView comparisonTopic 01
Machine Learning
Topic 02Rule-Based Automation
F4 Document and Operations AI
The highest-volume application. Extraction, classification, matching, confidence scores.
- CompareView comparisonTopic 01
Batch
Topic 02Real-Time
Topic 03Event-Stream Processing
- CompareView comparisonTopic 01
Document Classification
Topic 02Entity Extraction
F6 Credit and Fraud Systems
Where a model decides something about a person. Credit decisioning, fraud, thresholds, adverse action.
- CompareView comparisonTopic 01
Credit Score
Topic 02Credit Decision: The Number and the Cut-Off
- CompareView comparisonTopic 01
Fraud Model
Topic 02Credit Model: The Label and the Cost
F8 Model Performance, Monitoring and Resilience
What breaks after go-live. Drift, adversarial input, prompt injection, and the kill switch.
- CompareView comparisonTopic 01
AI Governance
Topic 02Model Risk Management: Which Layer Holds What