Artificial Intelligence In Finance | Asian Banking School

Overview
Programme Outline
Methodology
Participant Profile
Trainer

Overview

PROGRAMME DETAILS
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89% of European banks have started working with Artificial Intelligence (AI). American banks are putting AI at the top of the list for their technology efforts. But what exactly is AI? What are the applications of AI in finance? What are the opportunities, but also the risks of AI in the industry?

The Asian Banking School is pleased to be collaborating with the Centre for Finance, Technology and Entrepreneurship on this online course, “AI in Finance” which was jointly developed by the CFTE together with Ngee Ann Polytechnic.

The course consists of video lectures, interviews with guest speakers, supplementary readings and quizzes, which guide participants through the various applications of AI in finance. Its online format allows for independent, self-paced learning, where the content delivered by a diverse group of AI experts can be accessed at any time.

Once the participants successfully complete the 18 modules, they will receive a Certificate of Completion.
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Programme Outline
LEARNING OBJECTIVES
Upon completion of the programme, participants will be able to:

Have a good understanding of the main concepts behind Artificial Intelligence, including machine learning, deep learning, natural language processing, machine vision, etc.
Appreciate the developments of AI, especially in the context of financial services, and recognise its potential and limitations
Learn to identify potential use cases of AI in different sectors of finance
Be able to understand the opportunities and challenges of implementing AI
Understand future applications of AI by applying conceptual frameworks
Think of ways to apply AI to the financial industry
PROGRAMME OUTLINE
The online course comprises of video lectures taught by the Senior Lecturers, readings that complement the topics addressed in the lectures, and video interviews from industry experts to illustrate specific points raised by the lecturers.

At the end of each of the 18 modules, there is an Assessment Quiz to verify the
understanding of the topic – a successful completion of the 18 quizzes leads to a Certificate of Completion of “Artificial Intelligence in Finance”.

Each module also benefits from its online discussion forum where participants can share, comment and exchange ideas on discussed topics.

Chapter 1
An Industry Overview of AI
Module 1: Introduction to Artificial Intelligence
Module 2: Use cases of AI outside of Finance
Module 3: Use cases of AI in Finance
Module 4: Industry drivers of AI in Finance

Chapter 2
AI Technologies
Module 5: AI, Machine Learning and Deep Learning
Module 6: Building AI systems
Module 7: Natural Language Processing
Module 8: Recommendation Engine

Chapter 3
Implementing AI in an Enterprise
Module 9: Integrating AI at a Strategic Level
Module 10: Infrastructure for AI
Module 11: The Role of People
Module 12: Ethics and risksw

Chapter 4
Applications of AI in finance
Module 13: Wealth and Asset Management
Module 14: Insurance
Module 15: Customer service
Module 16: Robotic Process Automation
Module 17: Credit Scoring
Module 18: Compliance and Fraud Detection
Methodology
18 modules of self-paced learning
Video lectures with curated readings
Quizzes to test the assimilation of knowledge
Forum to exchange thoughts with fellow participants
Participant Profile

This programme is suited for a wide range of professionals who are keen to master the key elements of AI and want to understand its applications in finance. We welcome finance professionals, technologists, entrepreneurs, consultants, lawyers and all the people who are ready to take a deep dive into the future of finance.
Trainer

5 senior lecturers and 18 guest speakers drive the excellence and leadership of AI in finance. They are senior leaders from the largest financial institutions, CEOs of fast-growing startups, investors or regulators and are world-class experts in their domains. They share their insights as industry practitioners to help participants access high quality knowledge and gain first hand experience of AI in finance.

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