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AI in Finance: Delivering Business Value

Programme Fee (S$) Language Duration Effort
1500 English 6 weeks 4–6 hours per week

Course Overview

In the rapidly-evolving landscape of finance, artificial intelligence (AI) is no longer just an innovative concept but a transformative reality. The integration of AI in finance, through advanced technologies like process automation, machine learning, and predictive analytics, is reshaping the industry’s future. To stay ahead in this dynamic environment, professionals need more than a cursory understanding of AI; they require specialised skills to effectively implement AI solutions within their businesses.

Recognising this need, the National University of Singapore (NUS) Advanced Computing for Executives (ACE) has designed the online short course, AI in Finance: Delivering Business Value. This course is tailored for those looking to master the design, development and deployment of AI solutions in the financial sector. The course’s core objective is to equip participants with a fundamental understanding of AI technology, enabling them to identify and add value to their organisations through strategic AI implementations.

Spanning six weeks, this National University of Singapore AI course delves deep into the essence of AI and data science, particularly within the financial domain. The curriculum covers the planning and management of AI project risks, with a special focus on ethical considerations and regulatory compliance — a critical aspect of AI for finance. The course also provides a comprehensive exploration of AI principles in a financial business context, preparing participants to anticipate and leverage future AI trends.

What sets this course apart is its non-technical approach, making it accessible to decision-makers and business leaders. It is specifically crafted to empower those at the helm of business strategy with a deeper understanding of AI’s potential. The practical orientation of the course highlights how AI solutions can create tangible business value. Participants will also learn the nuances of commercialising AI products, ensuring they are well-versed in the ethical and regulatory aspects essential for AI in finance.

For executives and business leaders eager to harness the power of AI in the financial sector, the NUS AI course offers an invaluable opportunity. It is an investment in understanding how to navigate the complex yet rewarding world of artificial intelligence, driving innovation and growth in their respective organisations.

Course Curriculum

Orientation Module  Welcome to your Online Campus
Meet and engage with your learning and peer networks as you navigate the Online Campus.

Module 1  AI and Data Science
Learn how to frame the right questions about the application of AI in finance.

Module 2  The Application of AI in Finance
Explore how AI is currently being implemented in finance.

Module 3  Planning and Managing AI in Finance Projects
Explore how to plan and manage AI in finance projects in terms of design, development and implementation of projects to deliver higher performance.

Module 4  Managing AI Pitfalls, Ethical Considerations and Regulatory Compliance
Explore the ethical and regulatory compliance challenges for AI projects.

Module 5  Managing AI Innovation in Finance
Learn how to use AI innovation in finance, from creation, protection and commercialisation of AI-enabled products and services.

Module 6  The Future of AI in Finance: Management Perspectives
Explore how organisations can prepare strategically and operationally for the future of AI in finance.

Instructors


Mr Sarat Mohanty

Mr Sarat Mohanty

Sarat Mohanty is a senior global digital business leader, lived and worked out of Australia, Singapore, UK, Germany, Dubai, Tokyo, Hong Kong & India assuming Global & regional responsibility in Asia Pacific, Europe, Africa & Middle East. Sarat’s core competency includes digital transformation in financial Institutions, payments, receivables, supply chain finance, supply chain management & sustainable supply chain financing. Sarat is the Deputy General Manager at Sumitomo Mitsui Banking Corporate (SMBC) in Singapore responsible for driving digital transformation for the commercial & FI clients. Sarat is also an Executive Fellow at ACE, NUS School of Computing focusing on Digital leadership development programmes for C suite executives. Sarat had produced AI in Finance online course along with 2UGetSmarter for ACE, NUS-SoC (https://www.getsmarter.com/products/national-university-of-singapore-ai-in-finance-delivering-business-value-online-short-course). Sarat is a part-time lecturer at NUS School of Computing teaching digital transformation in financial institutions to master’s in digital finance technology students. Sarat was the global head of international trade & supply chain finance customer implementation for Standard Chartered Bank. Sarat had held MD & regional head roles in Greater China & North Asia, ASEAN, Africa & Middle East with Standard Chartered Bank. Sarat was Global head of supply chain business process & system at adidas in Germany, regional head of IT for Black & Decker in England, regional head of IT for Levi’s in Australia, Japan, Philippines, Singapore & head of IT in Levi’s India. Sarat holds Digital Transformation Specialization from MIT-USA, MBA degree in Strategic Management (UK), Postgraduate in IT (Bangalore, India), and bachelor’s degree in finance (India). Sarat is a certified Six Sigma supply chain process expert & certified Project Management Professional. Sarat also specializes in Green Ledger Accounting methodology for green financing. Sarat is an active keynote speaker in reputed industry events, forums, specializing in Digital Disruption, & Blockchain. Sarat is recipient of various industry (BFSI) awards & accolades. Sarat is passionate about Odissi dance, one of the famous Indian classical dances, he actively promotes Odissi dance in Singapore & in Asia Pacific region. Sarat is an active field hockey sports lover.

Mr Zaid Bin Hamzah

Mr Zaid Bin Hamzah

Zaid Hamzah is an AI and data strategist and practitioner specialising in AI in finance and law, AI and data governance and AI in information security. An AI patent holder, he is currently an Executive Education Fellow at the National University of Singapore (NUS) School of Computing’s Advanced Computing for Executives centre where he runs programmes on AI Innovation Management, Intellectual Property Rights in AI Innovation, and Commercialisation of AI Innovation. He has taught legal AI at the Singapore Management University School of Law. Zaid is deeply involved in AI R&D and innovation. His AI patent relating to risk management in a supply chain context was granted by the Intellectual Property Office of Singapore in December 2023. He is currently involved in AI research and innovation in the area of decision intelligence and cybersecurity. Author of 10 books spanning law, technology, intellectual property and AI, Zaid has over 35 years of professional experience. He has previously served as (i) Microsoft's Director for intellectual property and commercial software; (ii) Senior Legal Advisor to Singtel’s joint venture with Warner Bros and Sony Pictures (iii) Chief Regulatory Legal & Compliance Officer at publicly-listed Telekom Malaysia; (iv) Associate, Khattar Wong & Partners (Singapore law firm) and (v) Singapore Government service. Zaid has a law degree from the National University of Singapore and completed his Masters in International Relations at the Fletcher School of Law and Diplomacy, Tufts University on a Fulbright scholarship. Zaid is a member of the Board of Directors, NIE International (which is wholly owned by Nanyang Technological University). Zaid volunteers his professional services to start ups in the area of AI management and intellectual property protection and regularly conducts community programmes on how to get young children ready for a data and AI future.

Career Opportunities

Artificial Intelligence (AI) is increasingly being integrated into the finance sector, creating new career opportunities. Some of the roles that can be pursued in AI for finance include:

  • AI engineers: Develop and implement AI algorithms and models to improve financial processes and decision-making.
  • Data scientists: Analyse large datasets to uncover patterns and trends that can inform financial strategies and decisions.
  • Machine learning engineers: Design and implement machine learning models to automate financial tasks and improve decision-making.
  • Data analysts: Analyse data to provide insights and support financial strategies and decisions.
  • Financial engineers: Apply engineering principles to financial problems, using AI and other advanced mathematical techniques.
  • Risk managers: Use AI to assess and manage financial risks, improving the accuracy and efficiency of risk assessment processes.
  • Investment managers: Leverage AI algorithms to identify potential investment opportunities and optimise investment strategies.
  • Financial planners: Utilise AI tools to create personalised financial plans for clients, streamlining the planning process and providing more tailored advice.

Connect with us

11 Research Link
COM 3, #B1-07
Singapore 119391
Telephone: +65 6516 5523
Email: soc-ace@nus.edu.sg

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