AI's functions in Finance
Learn how to use AI to disrupt key functions of the finance value chain
Applications of AI in Finance: Use cases from the industry is the fourth course of the AI in Finance Specialisation – CFTE’s programme designed for finance professionals to get a comprehensive understanding of how to acquire the right foundations to be part of the AI revolution in Finance.
Enough theory, let’s dive into the real exclusive case studies of Big Banks and Startups that are using AI to provide value to their customers, detect fraud, and enhance credit scoring. If you want to have a front seat view of the strategic implementation of AI, enrol now.
With this course, you'll:
This course is taught by innovators. Fortune500 Leaders. scientists. technology experts. researchers. AI experts.
General Manager, Technology & Innovation
Director of the AI Lab
Head of Research & Development, Group Chief Data Scientist
Global Head of Conversational Banking
CEO & Founder
Chief Technology Officer
Founder & CEO
Founder & CEO
Senior Lecturer Jon-Tzen-Ng, GM at New World Group, takes you through how AI is radically transforming the investment and management industry along the value chain, followed by Ned Phillips, Founder at Bambu, and his insights into how his company is using AI to deliver state-of-the-art robo advisor services.
Senior Lecturer Jon-Tzen-Ng, GM at New World Group, takes you through the innovative solutions to accurately assess each individuals’ risks, followed by Marcin Detyniecki, Head of R&D at AXA, and his exclusive insights into implementation of AI between AXA and Uber.
Senior Lecturer Jon-Tzen-Ng, GM at New World Group, takes you through how AI is being used to personalise and automate customer interactions, followed by Janet Yuen, Global Head of Conversational Banking at HSBC, and her insights into the benefits of implementing conversational AI into banking.
Senior Lecturer Dr. Winnie Cheng, Chief Data Scientist at Io-Tahoe, takes you through RPA applications in finance and the key factors to be considered before deploying the technology, followed by Anant Bhardwaj, Founder at Instabase, and his insights into the difference between RPA and intelligent automation.
Senior Lecturer Dr. Winnie Cheng, Chief Data Scientist at Io-Tahoe, takes you through traditional vs. alternative credit scoring methods powered by AI, followed by Dr. Shonali Krishnaswamy, CTO at AiDA, and her experience in the complexity of preparing data to feed into an AI system.
Senior Lecturer Dr. Winnie Cheng, Chief Data Scientist at Io-Tahoe, takes you through KYC, AML, and fraud detection areas of compliance, followed by Erkin Adylov, Founder at Behavox, and his insights into how Behavox is using ML, how AI works for fraud detection, and other use cases of AI at financial institutions.
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Why learn at CFTE?
Make your organisation AI-ready
A course designed for the industry, by the industry.
Get a 360 view on AI in Finance
AI in Finance Specialisation
Get a complete training for AI in Finance.
You will be able to implement your AI knowledge and skills in your career and stand out in a competitive job market that needs the exclusive insights that CFTE offers to digitally transform their industry.
Most frequent questions and answers about our specialisation
This course 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.
Although there are some very good courses on AI you can find online, The AI in Finance Specialisation, developed by CFTE and Ngee Ann Polytechnic, is the very first online course that walk you through you foundations of Artificial Intelligence, its applications in the finance industry, as well as the opportunities and risks of AI in the sector. We believe The AI in Finance Specialisation is unique because: We have designed a reference course with the industry for the industry. Participants will be given a comprehensive overview on the most relevant trends through a very structured curriculum. Participants will learn from industry leaders who work at the largest financial institutions, fast growing startups, investors and regulators. It gives an overview of the potential and challenges of AI in Finance, from insights of entrepreneurs who are developing AI to leaders implementing AI in financial institutions.
The course has been designed to give a solid foundational knowledge about Artificial Intelligence, and how it applies to different sectors of finance. On completion of the course, participants will be expected 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. You will learn a lot in a structured way, and at your own pace.
We break our programmes into two types: short courses and specialisations. Our specialisations are a bundle of all of our short courses relating to an overarching topic. Specialisations allow learners to get a comprehensive and well-rounded understanding of a given topic in its many areas. If you have previous experience on this specialisation’s subject or you are interested in learning more about a specific area of it, you can enrol in the individual course that covers your area of interest, instead of taking the whole specialisation. Feel free to chat with us if you’d like some advise on which one would suit you best!
There are no pre-requisites for taking the course. This course is largely non-technical to learn the business aspects of AI. Participants can get the most out of the course if they have a general knowledge of Fintech and innovation trends in finance. This could be achieved through a structured course such as CFTE’s Fintech Foundation course, Oxford’s Fintech course, MIT’s Fintech course or similar courses
You will have access to the course for 6 months from enrolment. This duration is set to ensure you can pace yourself for the best learning outcome. Though not a common request, you can talk to us if you need an extension of the access after the 6 months are up.
Yes, you will receive a digital certificate upon successful completion of the course. This certificate is digital so it can be shared at any time and embedded into your online professional profile.
We accept all major credit cards and debit cards. You can choose to pay the full amount, or you can opt for a 3-part payment plan option. The 3-part payment option requires one payment upfront, followed by second and third during your course. Chat with us to find out more!