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Leveraging AI in Financial Services
Preparation
Legal Notices
Timetable
Platforms (7:53)
Working with Python
Pre-reading
1. Say “Hello” to AI
1.0 About This Course (1:15)
1.1 A Brief History of AI (8:33)
1.2 What is AI, Machine Learning and Deep Learning?
1.3 Machine Learning in Finance
1.4 Case Study, Fidelity International
1.5 Checkpoint 1
1.6 Discussion Points
2. Machine Learning
2.0 How does AI work? (6:32)
2.1 AI, Ethics And The Law
2.2 Explainable AI (XAI)
2.3 Regression - Excel
2.4 Regression - Python
2.5 AI in Finance
2.6 Checkpoint 2
2.7 Discussion Points
3. The Role of Data in AI
3.0 Big & Small Data and AI (4:03)
3.1 Data Formats
3.2 Preparing Data
3.3 The Data Preparation Process
3.4 Working With Matrices and Data Frames
3.5 Applying Models to Data
3.6 Classification With KNN (2:01)
3.7 Case Study, AI for Forecasting, Amazon (0:43)
3.8 Checkpoint 3
3.9 Discussion Points
4. Using AI For Cognitive Tasks
4.0 Introduction to Machine Learning Applications (4:42)
4.1 Image Processing
4.2 Natural Language Processing (0:07)
4.3 Recommendation Engines
4.4 Robotics and RPA
4.5 Case Study, AI at Barclays
4.5 Checkpoint 4
4.7 Discussion Points
5. Selecting Machine Learning Models
5.0 The Model Selection Process (10:26)
5.1 Regression
5.2 Classification
5.3 Clustering
5.4 Anomaly Detection
5.5 Neural Networks
5.6 Case Study, BlueFire AI
5.7 Checkpoint 5
5.8 Discussion Points
6. Applying AI in Financial Services
6.0 Applying AI in Financial Services Introduction (1:39)
6.1 AI Across the Customer Lifecycle (1:49)
6.2 Managing Risk, Security, and Underwriting (1:33)
6.3 Identifying Customer Segments (6:11)
6.4 Predicting Values, Optimal Pricing, Rates and Market Movements (6:36)
6.5 Portfolio Development and Fund Management (4:14)
6.6 Checkpoint 6
6.7 Discussion Points
7. Plan a New Financial Service
7.0 Planning Guidance (1:26)
8. Conclusion
8.0 What Did You Learn? (1:12)
Course PowerPoint
Appendix 1 - Implementation Guidance
A0 Goals, Objectives, Strategy and Tactics (10:27)
A1 Your AI Journey
A2 Common Roadblocks
A3 AI Solution Development Phases
A4 Capacity Development
A5 IT Infrastructure for AI
A6 Building an AI Orientated Culture and Organisation
A7 Skills for AI
6.5 Portfolio Development and Fund Management
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