Taxonomy Distribution Report

Overview

• Total Concepts: 561
• Number of Taxonomies: 13
• Average Concepts per Taxonomy: 43.2

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Token & Cost Efficiency Techniques	EFFIC	50	8.9%	✅
Tokenization & Token Economics	TOKEN	46	8.2%	✅
Generative AI & LLM Foundations	FOUND	45	8.0%	✅
Financial & ROI Fundamentals	FINRO	45	8.0%	✅
Software Development Lifecycle Cost Optimization	SDLC	45	8.0%	✅
Data Science Lifecycle Cost Optimization	DSLC	45	8.0%	✅
Report Design, Visualization & Capstone	RPRT	45	8.0%	✅
Compute, Infrastructure & Pricing	INFRA	40	7.1%	✅
ROI Metrics & KPIs	METRC	40	7.1%	✅
Data Collection, Instrumentation & Observability	DATOP	40	7.1%	✅
Vendor, Model & Build-vs-Buy Economics	VNDR	40	7.1%	✅
Risk, Governance & Hidden Costs	RISK	40	7.1%	✅
Executive Communication & Financial Literacy	COMM	40	7.1%	✅

Visual Distribution

Token & Cost Efficiency T ████  50 (  8.9%)
Tokenization & Token Econ ████  46 (  8.2%)
Generative AI & LLM Found ████  45 (  8.0%)
Financial & ROI Fundament ████  45 (  8.0%)
Software Development Life ████  45 (  8.0%)
Data Science Lifecycle Co ████  45 (  8.0%)
Report Design, Visualizat ████  45 (  8.0%)
Compute, Infrastructure & ███  40 (  7.1%)
ROI Metrics & KPIs        ███  40 (  7.1%)
Data Collection, Instrume ███  40 (  7.1%)
Vendor, Model & Build-vs- ███  40 (  7.1%)
Risk, Governance & Hidden ███  40 (  7.1%)
Executive Communication & ███  40 (  7.1%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

Category Details

Token & Cost Efficiency Techniques (EFFIC)

Count: 50 concepts (8.9%)

Concepts:

• 1. Prompt Optimization
• 1. Prompt Template Design
• 1. Output Length Control
• 1. Max Tokens Parameter
• 1. Temperature Setting
• 1. Structured Output Format
• 1. JSON Mode Output
• 1. Function Calling
• 1. Tool Use Efficiency
• 1. Model Cascading
• 1. Model Routing
• 1. Small Model First Strategy
• 1. Fallback Model Strategy
• 1. Ensemble Cost Tradeoff
• 1. Response Caching
• ...and 35 more

Tokenization & Token Economics (TOKEN)

Count: 46 concepts (8.2%)

Concepts:

• 1. Token
• 1. Tokenization
• 1. Subword Tokenization
• 1. Byte Pair Encoding
• 1. Token Vocabulary
• 1. Input Token
• 1. Output Token
• 1. Token Count
• 1. Token Limit
• 1. Context Length
• 1. Token-To-Word Ratio
• 1. Tokenizer Choice
• 1. Token Pricing Model
• 1. Per-Token Pricing
• 1. Input Token Pricing
• ...and 31 more

Generative AI & LLM Foundations (FOUND)

Count: 45 concepts (8.0%)

Concepts:

• 1. Artificial Intelligence
• 1. Machine Learning
• 1. Deep Learning
• 1. Neural Network
• 1. Generative AI
• 1. Large Language Model
• 1. Foundation Model
• 1. Transformer Architecture
• 1. Attention Mechanism
• 1. Self-Attention
• 1. Pretraining
• 1. Fine-Tuning
• 1. Instruction Tuning
• 1. RLHF Alignment
• 1. Inference
• ...and 30 more

Financial & ROI Fundamentals (FINRO)

Count: 45 concepts (8.0%)

Concepts:

• 1. Return On Investment
• 1. Total Cost Of Ownership
• 1. Net Present Value
• 1. Payback Period
• 1. Internal Rate Of Return
• 1. Cost-Benefit Analysis
• 1. Capital Expenditure
• 1. Operating Expenditure
• 1. Sunk Cost
• 1. Opportunity Cost
• 1. Depreciation
• 1. Amortization
• 1. Discount Rate
• 1. Time Value Of Money
• 1. Break-Even Analysis
• ...and 30 more

Software Development Lifecycle Cost Optimization (SDLC)

Count: 45 concepts (8.0%)

Concepts:

• 1. Software Development Lifecycle
• 1. Requirements Phase Cost
• 1. Design Phase Cost
• 1. Coding Phase Cost
• 1. Testing Phase Cost
• 1. Deployment Phase Cost
• 1. Maintenance Phase Cost
• 1. AI-Assisted Requirements
• 1. AI-Assisted Code Generation
• 1. Code Completion Tool Cost
• 1. AI Pair Programming
• 1. Automated Code Review
• 1. AI-Generated Test Cases
• 1. Test Coverage Automation
• 1. Automated Documentation
• ...and 30 more

Data Science Lifecycle Cost Optimization (DSLC)

Count: 45 concepts (8.0%)

Concepts:

• 1. Data Science Lifecycle
• 1. Data Collection Cost
• 1. Data Labeling Cost
• 1. AI-Assisted Data Labeling
• 1. Data Cleaning Cost
• 1. Feature Engineering Cost
• 1. AI-Assisted Feature Engineering
• 1. Model Training Cost
• 1. Hyperparameter Tuning Cost
• 1. Experiment Tracking Cost
• 1. Model Evaluation Cost
• 1. Model Validation Cost
• 1. Model Deployment Cost
• 1. Model Monitoring Cost
• 1. Model Retraining Trigger
• ...and 30 more

Report Design, Visualization & Capstone (RPRT)

Count: 45 concepts (8.0%)

Concepts:

• 1. Executive Report Structure
• 1. Report Scope Definition
• 1. Methodology Section Design
• 1. Findings Section Design
• 1. Recommendations Section Design
• 1. Appendix Design
• 1. Cover Page And Framing
• 1. Table Of Contents Design
• 1. Data Visualization Principles
• 1. Chart Type Selection
• 1. Bar Chart For Cost Comparison
• 1. Line Chart For Trend Analysis
• 1. Waterfall Cost Breakdown Chart
• 1. Cost Driver Tree Diagram
• 1. Sensitivity Analysis Chart
• ...and 30 more

Compute, Infrastructure & Pricing (INFRA)

Count: 40 concepts (7.1%)

Concepts:

• 1. GPU Compute
• 1. CPU Inference
• 1. Compute Cost
• 1. Cloud Compute Pricing
• 1. On-Demand Pricing
• 1. Reserved Capacity Pricing
• 1. Spot Instance Pricing
• 1. Serverless Inference
• 1. Dedicated Endpoint
• 1. Multi-Tenant Endpoint
• 1. Autoscaling
• 1. Cold Start Latency
• 1. Warm Pool
• 1. Compute Utilization Rate
• 1. Idle Capacity Cost
• ...and 25 more

ROI Metrics & KPIs (METRC)

Count: 40 concepts (7.1%)

Concepts:

• 1. GenAI ROI Metric
• 1. Adoption Rate Metric
• 1. Usage Frequency Metric
• 1. Task Completion Time
• 1. Time-To-Value Metric
• 1. Quality Score Metric
• 1. Error Rate Metric
• 1. Rework Rate Metric
• 1. Customer Satisfaction Metric
• 1. Employee Satisfaction Metric
• 1. Automation Rate Metric
• 1. Throughput Improvement Metric
• 1. Deflection Rate Metric
• 1. First-Contact Resolution Rate
• 1. Cycle Time Reduction
• ...and 25 more

Data Collection, Instrumentation & Observability (DATOP)

Count: 40 concepts (7.1%)

Concepts:

• 1. Usage Telemetry
• 1. Cost Attribution Tagging
• 1. Cost Tagging Taxonomy
• 1. Observability Platform
• 1. Logging Strategy
• 1. Distributed Tracing
• 1. API Call Logging
• 1. Token Usage Logging
• 1. Cost Dashboard Design
• 1. Real-Time Cost Monitoring
• 1. Anomaly Detection In Spend
• 1. Spend Forecasting
• 1. Budget Variance Analysis
• 1. Cost Data Warehouse
• 1. Data Pipeline For Cost Analytics
• ...and 25 more

Vendor, Model & Build-vs-Buy Economics (VNDR)

Count: 40 concepts (7.1%)

Concepts:

• 1. Build Vs Buy Decision
• 1. Open-Source Vs Proprietary Cost
• 1. Vendor Lock-In Risk
• 1. Multi-Vendor Strategy
• 1. Model Benchmarking For Selection
• 1. Vendor Pricing Comparison
• 1. Licensing Cost Structure
• 1. Enterprise License Agreement
• 1. Usage-Based Licensing
• 1. Seat-Based Licensing
• 1. Committed Spend Discount
• 1. Volume Discount Negotiation
• 1. Contract Term Length Tradeoff
• 1. Vendor SLA Review
• 1. Vendor Support Cost
• ...and 25 more

Risk, Governance & Hidden Costs (RISK)

Count: 40 concepts (7.1%)

Concepts:

• 1. AI Governance Framework
• 1. Model Risk Management
• 1. Hidden Cost Of AI Systems
• 1. Shadow AI Usage Risk
• 1. Data Security Risk
• 1. Data Privacy Risk
• 1. Intellectual Property Risk
• 1. Compliance Risk
• 1. Regulatory Uncertainty Cost
• 1. Bias And Fairness Risk
• 1. Explainability Requirement Cost
• 1. Audit Requirement Cost
• 1. Model Governance Board
• 1. Responsible AI Policy
• 1. Third-Party Risk Assessment
• ...and 25 more

Executive Communication & Financial Literacy (COMM)

Count: 40 concepts (7.1%)

Concepts:

• 1. Executive Audience Analysis
• 1. Financial Literacy For Engineers
• 1. Technical-Financial Translation
• 1. Jargon Reduction Technique
• 1. Executive Attention Span
• 1. Message Framing
• 1. Storytelling With Data
• 1. Narrative Arc For Reports
• 1. Key Message Development
• 1. So-What Statement
• 1. Elevator Pitch For Findings
• 1. Stakeholder Mapping
• 1. Audience-Specific Framing
• 1. CFO Perspective
• 1. CIO Perspective
• ...and 25 more

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 1.8%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

---

Report generated by learning-graph-reports/taxonomy_distribution.py