Artificial Intelligence in Finance and Open Banking

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Oct-03-2022

    Istanbul

  • Oct-10-2022

    Singapore

  • Oct-10-2022

    Madrid

  • Oct-10-2022

    Dubai

  • Oct-17-2022

    Paris

  • Oct-17-2022

    Amsterdam

  • Oct-17-2022

    Zurich

  • Oct-17-2022

    Istanbul

  • Oct-17-2022

    Barcelona

  • Oct-17-2022

    London

  • Oct-31-2022

    Zurich

  • Oct-31-2022

    London

  • Oct-31-2022

    Madrid

  • Oct-31-2022

    Singapore

  • Oct-31-2022

    Amsterdam

  • Oct-31-2022

    Paris

  • Oct-31-2022

    Dubai

  • Oct-31-2022

    Barcelona

  • Nov-07-2022

    London

  • Nov-07-2022

    Barcelona

  • Nov-07-2022

    Paris

  • Nov-07-2022

    Dubai

  • Nov-07-2022

    Singapore

  • Nov-07-2022

    Amsterdam

  • Nov-14-2022

    Zurich

  • Nov-14-2022

    Madrid

  • Nov-14-2022

    Istanbul

  • Nov-21-2022

    Amsterdam

  • Nov-21-2022

    Barcelona

  • Nov-21-2022

    Paris

  • Nov-21-2022

    London

  • Nov-21-2022

    Singapore

  • Nov-28-2022

    Dubai

  • Nov-28-2022

    Istanbul

  • Nov-28-2022

    Madrid

  • Nov-28-2022

    Zurich

  • Dec-05-2022

    Dubai

  • Dec-05-2022

    Zurich

  • Dec-05-2022

    Madrid

  • Dec-05-2022

    Istanbul

  • Dec-12-2022

    Barcelona

  • Dec-12-2022

    London

  • Dec-12-2022

    Singapore

  • Dec-12-2022

    Paris

  • Dec-12-2022

    Amsterdam

  • Dec-19-2022

    Madrid

  • Dec-19-2022

    Zurich

  • Dec-26-2022

    Barcelona

  • Dec-26-2022

    London

  • Dec-26-2022

    Istanbul

  • Dec-26-2022

    Paris

  • Dec-26-2022

    Dubai

  • Dec-26-2022

    Amsterdam

  • Dec-26-2022

    Singapore

  • Sep-19-2023

    Amsterdam

  • Sep-19-2023

    Paris

  • Sep-19-2023

    Istanbul

  • Sep-19-2023

    Zurich

  • Sep-19-2023

    Singapore

  • Sep-19-2023

    Barcelona

Course Details

Course Outline

5 days course

 

Introduction to AI and Data Basics
 
  • Differentiate between ML and AI use in banking, and how both can be used to solve consumer challenges
  • Understand how AI complements human intelligence and how can this be used to solve specific business problems
  • Learn why data-based decision making impacts end consumers and transforms industries
  • Understanding the ethical challenges that arise from AI and ML

 

 

Open Banking and the Data Revolution.
 
  • How Open Banking is creating competition for the incumbents by unbundling the financial services that banks offer, and the opportunities being created
  • Thinking through the challenges and the regulations, considering views from different markets and how Open Banking has been regulated
  • Evaluating what opportunities and challenges have arisen, and what impacts have been made on the industry

 

AI in Incumbent Banks and The Opportunities for New Entrants.

 

  • Views from incumbent banks with a realistic view of how they are making use of AI, their challenges and successes, potential for services enhancement, and how they can transform themselves through AI
  • Views from new fintech entrants, the opportunities they are presenting, and the challenges that they are facing

 

Platforms as Key Market Players.
 
  • Who are the platforms - Amazon, Google, Apple, etc. - and how are they disrupting the financial sector with data?
  • How will regulations and Open Banking impact platforms?
  • What should businesses be thinking about and doing in the face of possible disruption by the platforms?

 

AI Opportunities, Pitfalls, and Ethics

 

  • How can discrimination and privacy issues be avoided in data usage?
  • What are the current related legal challenges and how are they dealt with around the world?
  • Compare the ethics of competition between small and large companies

 

Open Data, AI Strategy, and The Future.
 
  • What opportunities and challenges does it create?
  • Understanding the evolving nature of AI and how to create feasible strategies
    Evaluate trend predictions for both the private and public sector
  • Synthesise your six week learning journey with presentation of an experiential learning “capstone project”