Class 2: Artificial Intelligence, Machine Learning, and Deep Learning

 

Flash and JavaScript are required for this feature.

> Download from Internet Archive (MP4 - 163MB)

> Download English-US transcript (PDF)

> Download English-US caption (SRT)

Lecture Slides

Class 2 Lecture Slides: Artificial Intelligence, Machine Learning, and Deep Learning  (PDF)

Readings

Required Readings

'Artificial intelligence and machine learning in financial services' Financial Stability Board (November 1, 2017) (Pages 3–23, Executive Summary & Sections 1–3)

'The Growing Impact of AI in Financial Services: Six Examples' Arthur Bachinskiy, Medium (February 21 2019)

Study Questions / Issues to Prepare

  1. What are artificial intelligence, machine learning, and deep learning? How do these enhanced tools of pattern recognition and decision making relate to financial services?
  2. What is natural language possessing? How has it already enhanced user interfaces (UI) and user experiences (UX) in finance? How might chatbots, conversational interfaces and voice assistants transform UI & UX in the future?
  3. What sectors within the financial services sector has seen the most adoption of AI & machine learning? How can it be used to enhance compliance systems, customer interfaces, risk management, underwriting and investment strategies?