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AI Fintech One Day

AI and Machine Learning: Tools, Applications and Natural Language Processing (NLP)

In the ever-evolving landscape of Fintech, Artificial Intelligence (AI) and Machine Learning (ML) emerge as the dynamic duo, reshaping the financial innovation. AI and ML illuminate the path to unprecedented efficiency, precision, and strategic excellence. The synergy of AI and ML stands as a game-changer in finance, revolutionising the way how financial solutions are crafted, transactions are optimised, and risks are managed. Imagine a toolkit that not only streamlines the analysis of vast financial datasets but also tailors insights perfectly for each financial scenarios, ensuring informed decision-making with maximised efficiency. This transformative approach means a significant reduction in the time and resources spent on traditional financial modeling. As AI and ML continue to advance, their role in shaping effective and innovative financial tactics becomes increasingly pivotal, offering increase efficiency and productivity for those ready to embrace AI.

Designed to equip participants with a comprehensive understanding of the strategic integration of AI and ML in Fintech, this course will allow participants to have a profound grasp of AI and ML applications in finance, enabling them to harness these technologies for strategic advantage.

  • Trainer

    Tung Whye Loon

  • Dates (1)

    11 Sep

  • Dates (2)

    29 Nov

  • Dates (3)

    14 Feb

Learn with
Invitation to exclusive networking events
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Access to Cross Border Innovations Sharing
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International Network for Alumni
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    At the end of the 1-day course, participants will be able to:

    • Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) and their transformative role in Fintech
    • Learn about the concept of natural language processing
    • Discover the AI tools that Fintech players are adopting
    • Explore the practical applications of AI in Fintech and banking and finance, including data analysis, customer service enhancements and operational efficiency
    • Examine the impact of AI and ML in Fintech
    • Identify the possibilities and challenges in leveraging AI and ML for Fintech innovation

    WHO SHOULD ATTEND

    • Financial professionals seeking to understand the impact of AI on Fintech
    • Regulatory and compliance officers from financial institutions
    • Individuals, entrepreneurs and business owners interested in AI and ML innovations in FintechIndividuals interested in a solid understanding of ChatGPT and its technologies

    Course Duration

    • 1-Day: 9 am to 5 pm

    Course Fees

    • SGD 127.00* (*after max funding from SkillsFuture Singapore)

    LEARN FROM INDUSTRY EXPERTS

    Kevin Chan

    Whye Loon is the Director of the Data, AI & Research team at SP Group, responsible for shaping the data and AI strategy. With over 20 years of experience in advanced analytics and machine learning research, he has published in top-ranked computer science and AI-related journals and served as a manuscript reviewer for IEEE publications. His research interests encompass brain-inspired computing, computational intelligence, machine learning, and data mining. Whye Loon has an extensive background in computer engineering and computational intelligence, holding a bachelor’s degree and a doctoral degree from Nanyang Technological University (NTU) and a Master of Science in Financial Engineering from the National University of Singapore (NUS). Currently he is teaching an undergraduate marketing analytics course at NUS and serving as an Associate Faculty with the School of Business at the Singapore University of Social Sciences (SUSS) since 2011.

    FAQ

    How would I know if my registration is successful?

    After registration, you will be directed to payment if 1) there are no pre-requisites documents needed 2) application is within T-60 days

    *Additionally, all successfully registered participants will receive a confirmation email 7 calendar days before course commencement.

    What happens if the course I enrolled in is cancelled/postponed?

    1) For cancelled courses -> SMU will cancel the enrolment and refund nett fees received.

    2) For postponed courses -> SMU will transfer participant to the following date, if the participant is unable to attend, SMU will withdraw and refund nett fees received.

    How can I claim my SkillsFuture Credits (SFC)?

    There is no need to submit any external claims for SFC, you can apply it directly during the payment stage of your registration

    How does registration under company-sponsored work?

    You will need your company’s HR/manager to create a corporate account with SMU and generate a unique link (expires 5 days before course commencement) for the selected course.
    You can then register using this link. *You are also required to create an individual account with SMU via SingPass

    How can I receive my certification?

    You will receive an email (registered under SingPass) when your cert (.opencert format) is ready. You can view and access it via your Skills Passport on the SkillsFuture portal or SMU student portal (eteams).

    When will my certificate be ready?

    1) Self-sponsored -> From the 14th working day after the course completion date.

    2) Company-sponsored -> Within 14 working days upon receipt of payment.

    How do I retreive receipts for my payment?

    Login to your student portal and click on ‘View Invoices/Receipts

    When do I make payment?

    You should be redirected to the payment page upon successful registration. Alternatively, you can login to the student portal > ‘Outstanding Payment’ to make payment for the course.

    How do I withdraw from a course?

    SMU Academy applies an administrative charge of S$109.00 (inclusive of GST) for each request to withdraw from a course. To submit your request, you will need to fill up the post-enrolment form. All requests must be submitted by the course end date, otherwise nett course fee will be charged and non-refundable.

    What is the attendance policy for the courses?

    Participants must attain a minimum of 75% attendance in order to be awarded a Certificate from the Singapore Management University.

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