Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 16.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
ETHICS	ETHICS	23	11.5%	✅
PLAT	PLAT	20	10.0%	✅
BIZ	BIZ	19	9.5%	✅
ARCH	ARCH	18	9.0%	✅
PROMPT	PROMPT	18	9.0%	✅
API	API	17	8.5%	✅
MULTI	MULTI	17	8.5%	✅
CUSTOM	CUSTOM	16	8.0%	✅
Foundation Concepts - Prerequisites	FOUND	13	6.5%	✅
GOV	GOV	13	6.5%	✅
WORK	WORK	13	6.5%	✅
Advanced Topics	ADV	13	6.5%	✅

Visual Distribution

ETHICS █████  23 ( 11.5%)
PLAT   █████  20 ( 10.0%)
BIZ    ████  19 (  9.5%)
ARCH   ████  18 (  9.0%)
PROMPT ████  18 (  9.0%)
API    ████  17 (  8.5%)
MULTI  ████  17 (  8.5%)
CUSTOM ████  16 (  8.0%)
FOUND  ███  13 (  6.5%)
GOV    ███  13 (  6.5%)
WORK   ███  13 (  6.5%)
ADV    ███  13 (  6.5%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

ETHICS (ETHICS)

Count: 23 concepts (11.5%)

Concepts:

• 1. AI Bias
• 1. Bias Detection
• 1. Bias Mitigation
• 1. Hallucination
• 1. Factual Accuracy
• 1. Grounding
• 1. Data Privacy
• 1. Data Security
• 1. PII Protection
• 1. GDPR Compliance
• 1. AI Regulations
• 1. EU AI Act
• 1. Intellectual Property
• 1. Copyright AI Content
• 1. Responsible AI
• ...and 8 more

PLAT (PLAT)

Count: 20 concepts (10.0%)

Concepts:

• 1. OpenAI
• 1. GPT-4
• 1. GPT-4 Turbo
• 1. GPT-4o
• 1. ChatGPT
• 1. Anthropic
• 1. Claude
• 1. Claude 3 Sonnet
• 1. Claude 3 Opus
• 1. Google Gemini
• 1. Gemini Pro
• 1. Gemini Ultra
• 1. Perplexity AI
• 1. Search-Augmented Gen
• 1. xAI Grok
• ...and 5 more

BIZ (BIZ)

Count: 19 concepts (9.5%)

Concepts:

• 1. AI Use Case
• 1. Use Case Identification
• 1. Value Mapping
• 1. ROI Estimation
• 1. Prioritization Framework
• 1. Feasibility Analysis
• 1. Impact Assessment
• 1. Quick Wins
• 1. Strategic Initiatives
• 1. Industry Use Cases
• 1. Healthcare AI
• 1. Finance AI
• 1. Retail AI
• 1. Manufacturing AI
• 1. Success Factors
• ...and 4 more

ARCH (ARCH)

Count: 18 concepts (9.0%)

Concepts:

• 1. Deep Learning
• 1. Neural Networks
• 1. Large Language Models
• 1. Transformer Architecture
• 1. Attention Mechanism
• 1. Self-Attention
• 1. Multi-Head Attention
• 1. Pre-Training
• 1. Fine-Tuning
• 1. RLHF
• 1. Token
• 1. Tokenization
• 1. Context Window
• 1. Model Parameters
• 1. Inference
• ...and 3 more

PROMPT (PROMPT)

Count: 18 concepts (9.0%)

Concepts:

• 1. Prompt Engineering
• 1. Zero-Shot Prompting
• 1. Few-Shot Prompting
• 1. In-Context Learning
• 1. Chain-of-Thought
• 1. Tree-of-Thought
• 1. Self-Consistency
• 1. System Prompt
• 1. User Prompt
• 1. Persona Design
• 1. Output Formatting
• 1. Structured Output
• 1. JSON Output
• 1. Markdown Output
• 1. Prompt Templates
• ...and 3 more

API (API)

Count: 17 concepts (8.5%)

Concepts:

• 1. API Fundamentals
• 1. REST API
• 1. SDK
• 1. OpenAI API
• 1. Anthropic API
• 1. API Endpoints
• 1. API Authentication
• 1. API Keys
• 1. Temperature Parameter
• 1. Top-P Parameter
• 1. Max Tokens Parameter
• 1. Stop Sequences
• 1. Streaming Responses
• 1. Rate Limiting
• 1. Cost Optimization
• ...and 2 more

MULTI (MULTI)

Count: 17 concepts (8.5%)

Concepts:

• 1. Multimodal AI
• 1. Text-to-Image
• 1. DALL-E
• 1. Midjourney
• 1. Stable Diffusion
• 1. Diffusion Models
• 1. Image Generation
• 1. Image Analysis
• 1. Vision Capabilities
• 1. GPT-4 Vision
• 1. Text-to-Video
• 1. Sora
• 1. Audio AI
• 1. Speech-to-Text
• 1. Text-to-Speech
• ...and 2 more

CUSTOM (CUSTOM)

Count: 16 concepts (8.0%)

Concepts:

• 1. Custom GPT
• 1. GPT Builder
• 1. GPT Actions
• 1. AI Agents
• 1. Autonomous Systems
• 1. Agent Workflows
• 1. No-Code AI Tools
• 1. Low-Code Platforms
• 1. Workflow Automation
• 1. RAG
• 1. Retrieval Systems
• 1. Knowledge Bases
• 1. Vector Database
• 1. Semantic Search
• 1. Similarity Search
• ...and 1 more

Foundation Concepts - Prerequisites (FOUND)

Count: 13 concepts (6.5%)

Concepts:

• 1. Digital Transformation
• 1. Digitization
• 1. Digitalization
• 1. Digital Maturity
• 1. Digital Capability Model
• 1. Organizational Readiness
• 1. Business Drivers
• 1. Value Creation
• 1. Digital Economy
• 1. Competitive Advantage
• 1. Artificial Intelligence
• 1. Machine Learning
• 1. Generative AI

GOV (GOV)

Count: 13 concepts (6.5%)

Concepts:

• 1. GAI Center of Excellence
• 1. GAICoE Charter
• 1. AI Governance
• 1. AI Policy
• 1. AI Strategy
• 1. AI Roadmap
• 1. Change Management
• 1. Stakeholder Engagement
• 1. Executive Sponsorship
• 1. AI Champions
• 1. Scaling AI
• 1. Enterprise AI
• 1. AI Maturity Model

WORK (WORK)

Count: 13 concepts (6.5%)

Concepts:

• 1. Future of Work
• 1. AI-Augmented Workforce
• 1. Skill Transformation
• 1. Reskilling
• 1. Upskilling
• 1. Role Evolution
• 1. Job Displacement
• 1. Job Creation
• 1. Human-AI Collaboration
• 1. Augmented Intelligence
• 1. Productivity Enhancement
• 1. Creativity Enhancement
• 1. Organizational Change

Advanced Topics (ADV)

Count: 13 concepts (6.5%)

Concepts:

• 1. Converging Technologies
• 1. IoT and AI
• 1. Blockchain and AI
• 1. Edge AI
• 1. AI Infrastructure
• 1. Cloud AI Services
• 1. Hybrid AI
• 1. AI Transformation
• 1. Business Model Innovation
• 1. Customer Experience AI
• 1. Operational Excellence
• 1. AI Strategy Document
• 1. Capstone Project

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 5.0%)
• ✅ 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

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