15.S08 | Spring 2020 | Graduate

FinTech: Shaping the Financial World

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

Lecture Slides

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


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?

Course Info

As Taught In
Spring 2020
Learning Resource Types
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Lecture Notes
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