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)
Questions
- What are artificial intelligence, machine learning, and deep learning? How do these enhanced tools of pattern recognition and decision making relate to financial services?
- 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?
- 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?
Big data is a term for which there is no single, consistent definition, but the term is used broadly to describe the storage and analysis of large and/or complicated data sets using a variety of techniques including AI.
Machine learning may be defined as a method of designing a sequence of actions to solve a problem, known as algorithms, which optimise automatically through experience and with limited or no human intervention.
Overview
- AI, Machine Learning, & Deep Learning
- Natural Language Processing
- AI within FinTech History
- AI & Machine Learning – Finance
- Natural Language Processing - Finance
Alternative Data
- Bank, Checking, Employment, Income, Insurance, Tenant, Utilities
- Cash Flow Underwriting
- Consumption and Purchase Transactional Data
- App Usage, Browsing History, Email Receipt, Geolocation, Social Media Data,
- Educational Background, Employer, Occupation, Work History
Natural Language Possessing
- Computer Input, Interpretation and Output of Human Language
- Natural Language Understanding and Natural Language Generation
- Audio, Image, Text and Video including Spoken, Written or Gestured
- Content Generation, Content Summarization, Information Retrieval, Intent Parsing, Sentiment Analysis, Speech Generation, Speech, Recognition and Translation
- Chatbots, Conversational Interfaces and Voice Assistants
Natural Language Possessing - Finance
- Customer Services
- Chatbots, Conversational Interfaces and Voice Assistants
- Process Automation
- Sentiment Analysis
