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Big Data, AI & Machine Learning in Financial Services
Welcome to the course!
Course introduction (6:18)
How to get help
Getting to know you
1 - Introduction to Big Data, AI & Machine Learning
Section introduction (1:37)
1.1.1 - What is Big Data & why does it matter? (8:05)
1.1.2 - Big Data tools & techniques (3:42)
1.1.3 - Pitfalls of Big Data (2:49)
1.2.1 - What is AI? (2:06)
1.2.2 - Subsets of AI (3:12)
1.2.3 - What is ML & who is using it? (4:35)
1.2.4 - Supervised vs unsupervised learning (1:45)
1.2.5 - Traditional analytics vs AI-ML (3:55)
1.3.1 - Data warehouses vs data lakes (2:39)
1.3.2 - Computation Grids (3:15)
1.3.3 - Cloud Infrastructure (6:45)
Quiz
2 - Data strategy & governance
Section 2 Introduction (1:07)
2.1.1 - Technology explosion (5:51)
2.1.2 - Data driven organizations (3:19)
2.2.1 - Data management framework - Part I (7:36)
2.2.2 - Data management framework - Part II (7:23)
2.3.1 - Machine Learning Pipeline (5:25)
2.3.2 - Building & managing an analytics team (5:20)
Quiz
Thought exercise: Your organization's data maturity
3 - State of the art & developments
Section 3 introduction (0:47)
3.1 - Alternative Data (6:17)
3.2.1 - Tools, frameworks & platforms (3:57)
3.2.2 - Auto ML (5:16)
3.3 - Cutting edge developments (4:18)
Quiz
4 - How to identify where to apply ML & Big Data
Section 4 Introduction (1:07)
4.1.1 - How to identify potential projects (4:56)
4.1.2 - How to assess potential projects (2:15)
4.1.3 - Considerations for your first project (2:29)
4.2.1 - Use cases in Finance - Part I (5:28)
4.2.1 - Use cases in Finance - Part II (3:13)
4.2.2 - Benefits & challenges of using ML & Big Data (4:49)
Quiz
5 - Trust & Ethics
Section 5 Introduction (1:26)
5.1.1 - Trust in AI Systems (2:50)
5.1.2 - Explainable AI (5:34)
5.1.3 - Trust - Use cases (1:57)
5.2.1 - Regulation overview (3:13)
5.2.2 - Security & access (3:48)
5.2.3 - Ownership & consent (4:35)
5.3.1 - Privacy aware society - Impact of recent regulation (2:05)
5.3.2 - Privacy aware society - Biometric data processing (5:01)
Quiz
6 - Futurology
Section 6 Introduction (1:18)
6.1.1 - General trends - Pace of change (2:01)
6.1.2 - General trends - Organizational agility (1:51)
6.1.3 - General trends - Need for forward looking insight (1:12)
6.2.1 - The singularity - Cognitive AI (1:54)
6.2.2 - The singularity - Convergence with robotics (1:25)
6.2.3 - The singularity - Automation 2.0 (2:06)
6.3.1 - The ABC of quantum computing (3:47)
6.3.2 - Quantum computing - Who is leading the way (1:33)
6.3.3 - Quantum supremacy (0:48)
6.3.4 - How will quantum computing change business & society- (3:45)
Quiz
Course completion survey
1.2.5 - Traditional analytics vs AI-ML
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