Comprehensive course analysis
Who should attend
- An entrepreneur, business leader, or executive who wants the strategic insight and actionable knowledge to create new ventures or develop both short and long-term business strategies for Open Banking driven by AI
- A manager, director, or professional in either a private or public sector financial services organisation
- Intellectually curious and motivated and in the midst of, or aspiring towards, a career transition or looking for future-fit skills in financial tech or banking
About the course
Big data powered by artificial intelligence (AI) is reshaping the global financial services industry, and open banking promises to transform it further still.
As open banking expands across the globe, the unleashing of data will open new market opportunities with the potential to radically transform the industry, creating new winners, losers, rewards and challenges.
This programme is designed and built to give you the knowledge and insight you need to analyse and strategise open banking.
Key themes include:
- The value of data
- Ethical AI
- Open banking regulations
- AI disruption and transformation
- AI powered fintechs
- Rise of the platforms
On completion of this programme, you'll walk away with:
- Clarity of the potential and power that AI can bring to the financial services industry.
- The ability to think strategically about AI and understand the business impact as access to financial data becomes more open.
- A deep understanding of the AI driven data economy and how it impacts open banking.
- Your own AI enabled capstone project, using appropriate AI technologies and understanding the ethical and legal implications.
- Access to the official Oxford Executive Education Alumni group on LinkedIn
An overview of the programme, the next-generation AI-platforms used to deliver it, and an introduction to your international cohort members.
Module 1: Introduction to AI and data basics
An introduction to the criticality of data in financial services, and how AI is unlocking new products, services and innovation in the financial services industry:
- Differentiate between ML and AI use in banking, and how both can be used to solve consumer challenges
- Understand how AI complements human intelligence and how can this be used to solve specific business problems
- Learn why data-based decision making impacts end consumers and transforms industries
- Understanding the ethical challenges that arise from AI and ML
Module 2: Open banking and the data revolution
Understanding Open Banking, why it emerged and what happens to the data being opened by it, including:
- How Open Banking is creating competition for the incumbents by unbundling the financial services that banks offer, and the opportunities being created
- Thinking through the challenges and the regulations, considering views from different markets and how Open Banking has been regulated
- Evaluating what opportunities and challenges have arisen, and what impacts have been made on the industry
Module 3: AI in incumbent banks and the opportunities for new entrants
A practical and tangible look at the current state of the use of AI in banks and new market entrants, including analysis of:
- Views from incumbent banks with a realistic view of how they are making use of AI, their challenges and successes, potential for services enhancement, and how they can transform themselves through AI
- Views from new fintech entrants, the opportunities they are presenting, and the challenges that they are facing
Module 4: Platforms as key market players
The rise of big tech platforms as key market players in finance:
- Who are the platforms - Amazon, Google, Apple, etc. - and how are they disrupting the financial sector with data?
- How will regulations and Open Banking impact platforms?
- What should businesses be thinking about and doing in the face of possible disruption by the platforms?
Module 5: AI opportunities, pitfalls and ethics
Examining the ethical issues surrounding data, including discrimination, privacy and competition:
- How can discrimination and privacy issues be avoided in data usage?
- What are the current related legal challenges and how are they dealt with around the world?
- Compare the ethics of competition between small and large companies
Module 6: Open data, AI strategy and the future
Look ahead to the future of open data and Open Banking and examining what it means for the finance industry:
- What opportunities and challenges does it create?
- Understanding the evolving nature of AI and how to create feasible strategies
- Evaluate trend predictions for both the private and public sector
- Synthesise your six week learning journey with presentation of an experiential learning “capstone project”
Research My research covers empirical and theoretical topics in industrial organization, corporate finance, behavioral finance, asset pricing, and financial economics. Please visit my personal webpage or my SSRN author page for more information. https://sites.google.com/site/martincschmalz/...
Pinar Ozcan is Professor of Strategic Management at Warwick Business School. She specializes in strategy, entrepreneurship, and the emergence of new technology markets.. Professor Ozcan completed her Ph.D. at the Stanford Technology Ventures Program (STVP) at the Stanford University Management ...
Videos and materials
Read more about Business Analytics
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.