┌─────────────────────────────────────────────────────────────────────────────┐
│                    TECHNOLOGY HORIZON                                     │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    GENERATIVE AI                                    │   │
│  │  AI that creates content, code, and insights.                       │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    QUANTUM COMPUTING                                │   │
│  │  Exponential computing power for complex problems.                  │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    BLOCKCHAIN AND DLT                               │   │
│  │  Distributed ledger technology for trust and transparency.          │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    BIOMETRICS AND IDENTITY                          │   │
│  │  Advanced authentication and identity verification.                 │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌──────────────────────────────────────────────────────────────────────┐   │
│  │                    EDGE AND IOT                                     │   │
│  │  Processing at the edge for real-time banking.                     │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

# ===================================================================
# MODULE 9, LESSON 2: THE TECHNOLOGY HORIZON
# ===================================================================

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime
import warnings
warnings.filterwarnings('ignore')

print("="*70)
print("THE TECHNOLOGY HORIZON – ENABLING THE FUTURE OF BANKING")
print("="*70)

# ----------------------------------------------------------------
# PART A: TECHNOLOGY READINESS ASSESSMENT
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART A: Technology Readiness Assessment")
print("-"*60)

technologies = {
    'Generative AI': {'Readiness': 4, 'Impact': 5, 'Complexity': 4, 'Priority': 'High'},
    'Cloud Computing': {'Readiness': 5, 'Impact': 5, 'Complexity': 3, 'Priority': 'High'},
    'Biometrics': {'Readiness': 4, 'Impact': 4, 'Complexity': 3, 'Priority': 'High'},
    'Blockchain/DLT': {'Readiness': 3, 'Impact': 4, 'Complexity': 5, 'Priority': 'Medium'},
    'Edge/IoT': {'Readiness': 3, 'Impact': 3, 'Complexity': 4, 'Priority': 'Medium'},
    'Quantum Computing': {'Readiness': 1, 'Impact': 5, 'Complexity': 5, 'Priority': 'Low'}
}

tech_df = pd.DataFrame(technologies).T
print("Technology Readiness Assessment:")
print(tech_df)

# Visualise
fig, axes = plt.subplots(1, 2, figsize=(14, 5))

# Readiness vs Impact
ax = axes[0]
x = np.arange(len(tech_df))
width = 0.35
ax.bar(x - width/2, tech_df['Readiness'], width, label='Readiness', color='blue', alpha=0.7)
ax.bar(x + width/2, tech_df['Impact'], width, label='Impact', color='green', alpha=0.7)
ax.set_xlabel('Technology')
ax.set_ylabel('Score (1-5)')
ax.set_title('Technology Readiness vs Impact')
ax.set_xticks(x)
ax.set_xticklabels(tech_df.index, rotation=45, ha='right')
ax.legend()
ax.grid(True, alpha=0.3)

# Complexity
ax = axes[1]
tech_sorted = tech_df.sort_values('Complexity', ascending=True)
ax.barh(tech_sorted.index, tech_sorted['Complexity'], color='orange', alpha=0.7)
ax.set_xlabel('Complexity (1-5)')
ax.set_title('Technology Complexity')
ax.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig('technology_readiness.png', dpi=300, bbox_inches='tight')
plt.show()
print("Technology readiness visualisation saved as 'technology_readiness.png'")

# ----------------------------------------------------------------
# PART B: GENERATIVE AI IMPLEMENTATION ROADMAP
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART B: Generative AI Implementation Roadmap")
print("-"*60)

genai_roadmap = pd.DataFrame({
    'Phase': ['Pilot', 'Scale', 'Optimise', 'Innovate'],
    'Timeline': ['0-6 months', '6-12 months', '12-24 months', '24+ months'],
    'Focus': [
        'Identify and pilot use cases',
        'Scale to production',
        'Optimise and enhance',
        'Explore new use cases'
    ],
    'Success Metrics': [
        '3+ pilots completed',
        '5+ use cases in production',
        'CSAT > 80%',
        'Industry leadership'
    ]
})

print("Generative AI Implementation Roadmap:")
print(genai_roadmap.to_string(index=False))

# ----------------------------------------------------------------
# PART C: QUANTUM COMPUTING READINESS
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART C: Quantum Computing Readiness")
print("-"*60)

quantum_readiness = pd.DataFrame({
    'Area': ['Awareness', 'Research', 'Pilot', 'Migration', 'Scale'],
    'Timeline': ['Now', '0-2 years', '2-5 years', '3-5 years', '5+ years'],
    'Activities': [
        'Build quantum awareness',
        'Explore quantum use cases',
        'Run quantum-inspired pilots',
        'Migrate to quantum-resistant cryptography',
        'Scale quantum applications'
    ],
    'Status': ['🟢', '🟡', '🔴', '🔴', '🔴']
})

print("Quantum Computing Readiness:")
print(quantum_readiness.to_string(index=False))

# ----------------------------------------------------------------
# PART D: BLOCKCHAIN AND DIGITAL ASSET STRATEGY
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART D: Blockchain and Digital Asset Strategy")
print("-"*60)

blockchain_strategy = pd.DataFrame({
    'Area': ['Custody', 'Trading', 'Tokenisation', 'Stablecoins', 'CBDCs'],
    'Timeline': ['Now-2 years', '2-5 years', '3-5 years', '2-5 years', '3-5 years'],
    'Priority': ['High', 'Medium', 'Medium', 'Medium', 'Low'],
    'Status': ['🟢', '🟡', '🟡', '🟡', '🔴']
})

print("Blockchain and Digital Asset Strategy:")
print(blockchain_strategy.to_string(index=False))

# ----------------------------------------------------------------
# PART E: TECHNOLOGY INVESTMENT EVALUATION
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART E: Technology Investment Evaluation")
print("-"*60)

investment_eval = pd.DataFrame({
    'Technology': ['Generative AI', 'Cloud', 'Blockchain', 'Quantum'],
    'Investment ($M)': [25, 30, 15, 5],
    'ROI Potential': ['High', 'High', 'Medium', 'Long-term'],
    'Risk': ['Medium', 'Low', 'Medium', 'High'],
    'Priority': ['High', 'High', 'Medium', 'Low'],
    'Decision': ['Invest', 'Invest', 'Monitor', 'Research']
})

print("Technology Investment Evaluation:")
print(investment_eval.to_string(index=False))

# ----------------------------------------------------------------
# PART F: TECHNOLOGY METRICS DASHBOARD
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART F: Technology Metrics Dashboard")
print("-"*60)

tech_metrics = pd.DataFrame({
    'Metric': [
        'AI/ML Adoption Rate',
        'Cloud Migration Progress',
        'Generative AI Use Cases',
        'Blockchain Projects',
        'Quantum Readiness Score',
        'Technology Innovation Index',
        'Digital Capability Score',
        'Technology ROI'
    ],
    'Current Value': [
        '45%',
        '65%',
        '5',
        '3',
        '20/100',
        '6.5/10',
        '3.5/5',
        '18%'
    ],
    'Target Value': [
        '> 80%',
        '> 90%',
        '> 20',
        '> 10',
        '> 60/100',
        '> 8.5/10',
        '> 4.5/5',
        '> 25%'
    ],
    'Status': ['🔴', '🟡', '🟡', '🟡', '🔴', '🟡', '🟡', '🟡']
})

print("Technology Metrics Dashboard:")
print(tech_metrics.to_string(index=False))

# ----------------------------------------------------------------
# PART G: TECHNOLOGY ROADMAP
# ----------------------------------------------------------------

print("\n" + "-"*60)
print("PART G: Technology Roadmap")
print("-"*60)

roadmap = {
    "Phase 1 (0-12 months) – Foundation": {
        "Focus": "Build technology foundation.",
        "Activities": [
            "Accelerate cloud migration.",
            "Implement generative AI pilots.",
            "Build blockchain capabilities.",
            "Establish quantum readiness."
        ],
        "Success Metrics": ["Cloud adoption > 80%", "Generative AI in production"]
    },
    "Phase 2 (12-24 months) – Scale": {
        "Focus": "Scale technology capabilities.",
        "Activities": [
            "Scale generative AI across organisation.",
            "Launch blockchain applications.",
            "Implement quantum-resistant cryptography.",
            "Build edge capabilities."
        ],
        "Success Metrics": ["AI/ML adoption > 70%", "Blockchain projects > 5"]
    },
    "Phase 3 (24-36 months) – Advanced": {
        "Focus": "Advanced technology capabilities.",
        "Activities": [
            "Achieve AI/ML adoption > 80%.",
            "Launch tokenisation products.",
            "Implement quantum-ready applications.",
            "Lead in technology innovation."
        ],
        "Success Metrics": ["Industry-leading AI", "Tokenisation products launched"]
    },
    "Phase 4 (36+ months) – Leadership": {
        "Focus": "Technology leadership.",
        "Activities": [
            "Lead technology innovation.",
            "Build global technology capabilities.",
            "Achieve technology leadership.",
            "Continuous improvement."
        ],
        "Success Metrics": ["Technology leadership", "Continuous innovation"]
    }
}

for phase, details in roadmap.items():
    print(f"\n{phase}:")
    print(f"  Focus: {details['Focus']}")
    print("  Activities:")
    for activity in details['Activities']:
        print(f"    • {activity}")
    print("  Success Metrics:")
    for metric in details['Success Metrics']:
        print(f"    • {metric}")

# ----------------------------------------------------------------
# PART H: SUMMARY AND RECOMMENDATIONS
# ----------------------------------------------------------------

print("\n" + "="*70)
print("PART H: Summary and Recommendations")
print("="*70)

print("""
The Technology Horizon – Key Takeaways:

1. Key technologies: Generative AI, Quantum Computing, Blockchain/DLT, Biometrics, Edge/IoT.
2. Generative AI: high readiness, high impact – invest now.
3. Cloud Computing: very high readiness, high impact – continue investment.
4. Blockchain/DLT: medium readiness, medium impact – monitor and pilot.
5. Quantum Computing: low readiness, high impact – research and prepare.
6. Technology investment priorities: AI/ML, Cloud, Blockchain, Generative AI.
7. Key metrics: AI adoption, cloud migration, generative AI use cases, quantum readiness.

Recommendations:
  - Invest in generative AI and cloud capabilities.
  - Monitor blockchain and digital asset developments.
  - Prepare for quantum computing (research, awareness).
  - Build digital and data capabilities.
  - Continuously evaluate emerging technologies.
  - Develop a technology roadmap aligned with strategy.
""")

print("="*70)
print("END OF LESSON 2 – MODULE 9")
print("="*70)