Overview
Emerging technologies and data analytics are swiftly altering the landscape of the financial sector.
Course Description & Learning Outcomes
This module offers a comprehensive exploration into the three cardinal components that are shaping the future of finance - Data Analytics, Blockchain Technology, and Artificial Intelligence (AI). Participants will acquire hands-on experience with data analytics tools and techniques which will empower them to analyse complex financial datasets, distill valuable insights, and apply data-driven strategies across various Fintech applications. This module also allows participants to explore the fundamental principles, potential applications, and the challenges and opportunities blockchain technology and cryptocurrencies present in the financial industry. They will also gain an understanding in practical artificial Intelligence applications in fields like customer service, investment management, credit scoring, and risk management, along with tackling the associated ethical and regulatory considerations. By the end of this module, participants will possess a comprehensive understanding of how data analytics and these burgeoning technologies are reshaping the financial services industry and will be equipped to leverage them in their professional environments. This module is part of the Advanced Certificate in Fintech and the Future of Finance. LEARNING OBJECTIVES At the end of the 3-day module, participants will be able to: - Understand the role of data analytics in the Fintech sector and develop proficiency in using analytics tools for handling large financial datasets - Comprehend the principles and potential applications of blockchain technology and cryptocurrencies in the financial industry - Evaluate the advantages, challenges, and opportunities associated with blockchain technology and cryptocurrencies - Gain insight into the transformative effect of AI on financial services, including practical applications and regulatory considerations - Analyse the role of AI in risk management and credit scoring, and develop an understanding of ethical issues associated with AI in finance - Grasp the concept of Machine Learning and its significant role in modern Fintech solutions - Understand the impact of data analytics, blockchain, and AI on traditional financial services and the opportunities they present
Recommended Prerequisites
- Participants should have a basic understanding of financial and economic concepts. - A basic understanding of technology, including familiarity with computer systems and software applications, is beneficial. - Knowledge of data analysis, programming, or software development, while not mandatory, could enhance the learning experience. - Some professional experience, particularly in roles related to finance, technology, entrepreneurship, or regulation, can enrich the participant's understanding of course content. - Motivated fresh graduates or students with a keen interest in Fintech are also welcome.-
Schedule
End Date: 08 May 2024, Wednesday
Location: 60 Stamford Road, Level 4, 178900
Pricing
Speakers
Trainer's Profile:
Christopher Ngoi, SMU Affiliate Faculty, KPMG Singapore Director of Blockchain and Crypto
Christopher is a recognised business leader in Digital Strategy specialising in Blockchain, AI, Embedded Finance and other Emerging Technologies. He is known as a Subject Matter Expert for building businesses around Blockchain, Digital Currencies (CBDC, Tokenised Deposit, Stablecoins), Digital Identity, and Tokenisation. Christopher is the main trainer for this module.
Trainer's Profile:
Michael Cutler, Chief Technology Officer , KPMG Digital Village
Michael has a track record in architecting and building solutions with emerging technology at massive scale for retail, media, digital services, including public sector. He is recently focused on Web3, blockchain, artificial intelligence and psychology to deliver exceptional personalised digital customer experiences. He has entrepreneurial experience both running, advising and working in startups undergoing exponential growth. Michael is the guest speaker for this module.
