Open Data and Intelligent Finance
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Open Data and Intelligent Finance
This course is part of AI in Financial Services: Foundations through future trends Specialization
Instructor: Pinar Ozcan
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What you'll learn
Explain the principles of Open Data, Open Finance, and Smart Data, and how they shape modern financial ecosystems
Evaluate how AI powers real-time, intelligent financial services and the ethical and regulatory risks involved
Design inclusive, data-driven financial systems using platform infrastructure and responsible innovation practices
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There are 5 modules in this course
Financial services are changing, from how they’re designed to how they’re delivered. Increasingly, the tools we use to bank, borrow, save, and invest are powered by artificial intelligence, delivered through platforms, and built on open data infrastructure. But what happens when finance becomes invisible? When decisions are automated? When users don’t realise they’re engaging with a financial product?
This course explores the rise of intelligent, data-driven finance and how to design systems that are not only efficient but also ethical and inclusive. You’ll learn how Open Data and Open Finance enable cross-sector innovation, and how AI transforms static products into real-time, personalised services. You’ll explore embedded finance models and platform architectures, and examine real-world case studies from global leaders like the UK, India, and Brazil. Along the way, you’ll investigate risks, from consent fragmentation and data inequality to black-box decision-making and regulatory blind spots. Through hands-on activities and a final design project, you’ll apply your learning to propose responsible, user-centred innovations for the future of finance. By the end of the course, you will be able to: • Define the principles and evolution of Open Data and its relationship to Open Banking and Open Finance. • Analyse the key technical, legal, and ethical components that support intelligent, data-driven financial ecosystems. • Evaluate how AI and blended data sources can improve personalisation, credit access, and service delivery. • Interpret global Smart Data initiatives and policy frameworks in countries like the UK, India, Brazil, and Australia. • Identify risks and governance challenges associated with AI, privacy, consent, and data inequality in finance. • Design responsible, inclusive data-sharing strategies that align with transparency, fairness, and innovation goals. This is the third course in the 'AI in Financial Services: Foundations through Future Trends' specialization. We recommend completing 'AI Fundamentals in Financial Services' and 'Designing the Future of Finance' courses first for a strong foundation before exploring open data and intelligent finance.
This course examines how Open Data, platform ecosystems, and AI are reshaping financial services. You will explore how intelligent systems use open infrastructure to deliver more personalised, embedded, and data-driven experiences. Through global case studies and critical reflection, you will build the tools to engage with the future of ethical and intelligent finance.
What's included
6 videos15 readings1 assignment9 plugins
6 videos•Total 8 minutes
- Welcome from Professor Pinar Ozcan•2 minutes
- Open Data as public infrastructure•2 minutes
- Example: Amira’s smart dashboard •1 minute
- Australia CDR •2 minutes
- Illustration: blended data and the power of financial visibility•1 minute
- Designing consent for smart data systems•2 minutes
15 readings•Total 131 minutes
- Your learning journey •10 minutes
- Before you begin: reflect on your learning goals •10 minutes
- Important note about course communication•1 minute
- Open Data in the digital economy •10 minutes
- Why Open Finance is a launchpad •10 minutes
- Sector convergence and the rise of smart data ecosystems •5 minutes
- From Open Finance to Open Data: the strategic shift •10 minutes
- Introduction: the state as a data platform •10 minutes
- Government as enabler: trust, standards, and equity •10 minutes
- Introduction: more data, better decisions •5 minutes
- Why blended data matters for inclusion •10 minutes
- Introduction: balancing promise and risk •10 minutes
- Privacy, consent, and control •10 minutes
- Data inequality and the risk of exclusion •10 minutes
- Key insights and personal reflections •10 minutes
1 assignment•Total 20 minutes
- Module quiz•20 minutes
9 plugins•Total 140 minutes
- Introduction to Open Data •15 minutes
- Open Data Principles •10 minutes
- What Open Finance built •10 minutes
- Why interoperability is the next frontier •15 minutes
- Case Studies: Smart Data UK & IndiaStack •30 minutes
- The role of Open Government Data •15 minutes
- Blended data use cases across finance and beyond•15 minutes
- Policy objectives: What Open Data in finance can achieve •15 minutes
- Blended data, fragmented responsibility •15 minutes
This module explores how AI and real-time data are transforming traditional financial services into intelligent, personalised, and adaptive systems. From budgeting tools that adjust to income shifts to AI-powered lending platforms that assess risk in milliseconds, you'll examine how smart technologies are reshaping credit, savings, and investment. You’ll also learn to critically assess the design, benefits, and risks of these systems, including the role of automation, personalisation, and decision speed in building financial resilience or exclusion.
What's included
1 video5 readings1 assignment4 plugins
1 video•Total 2 minutes
- Introduction: cheaper, better, faster •2 minutes
5 readings•Total 60 minutes
- How AI enables intelligence •10 minutes
- Risks and design challenges •10 minutes
- Use case: instant credit and loan approvals •10 minutes
- Infrastructure and data challenges •10 minutes
- Key insights and personal reflections •20 minutes
1 assignment•Total 20 minutes
- Module quiz•20 minutes
4 plugins•Total 60 minutes
- What makes a financial service ‘intelligent’?•15 minutes
- From one-size-fits-all to hyper-personalisation •10 minutes
- The need for speed •15 minutes
- Use cases: Risk modeling and dynamic pricing•20 minutes
Finance is no longer limited to banks or dedicated apps, it’s becoming embedded into the digital platforms we use every day. This module unpacks how financial services are delivered through platforms, super apps, and modular ecosystems using open APIs and real-time data. You'll explore how payments, lending, and insurance are becoming invisible, and the new roles of infrastructure providers, BaaS partners, and API aggregators. The module also surfaces the regulatory, ethical, and competitive risks as financial access becomes platform-mediated.
What's included
3 videos8 readings1 assignment5 plugins
3 videos•Total 6 minutes
- How Open Finance enabled Embedded Finance•1 minute
- What happens when you tap 'Pay Later'•1 minute
- The hidden risks of invisible finance•3 minutes
8 readings•Total 90 minutes
- From Open Finance to Embedded Finance •15 minutes
- Why Embedded Finance matters •15 minutes
- API Aggregators: stitching the ecosystem together •10 minutes
- Where the gaps are •10 minutes
- Who’s responsible? •10 minutes
- Emerging regulatory responses •10 minutes
- Market power and the platform risk •10 minutes
- Key insights and personal reflections •10 minutes
1 assignment•Total 20 minutes
- Module quiz•20 minutes
5 plugins•Total 85 minutes
- Overview and definitions •20 minutes
- How platforms power the future of finance •20 minutes
- Banking-as-a-Service (BaaS) •15 minutes
- Super apps: the new financial gatekeepers? •15 minutes
- Consumer risk in invisible finance •15 minutes
AI-driven finance has the power to expand inclusion, or deepen inequality. This module focuses on the human impact of intelligent financial systems, exploring case studies where design intent shaped user outcomes. You'll examine how incentives, algorithms, and interface design can empower or exploit users. By comparing inclusive innovations with harmful missteps, you’ll learn how to design for fairness, transparency, and long-term wellbeing. The module also introduces practical governance tools and ethical design strategies to guide responsible financial innovation.
What's included
2 videos3 readings1 assignment3 plugins
2 videos•Total 4 minutes
- The impact of disruption •2 minutes
- Why intent matters•2 minutes
3 readings•Total 40 minutes
- What makes AI in Finance so disruptive? •10 minutes
- Beyond rules, toward responsibility •15 minutes
- Key insights and personal reflections•15 minutes
1 assignment•Total 20 minutes
- Module quiz•20 minutes
3 plugins•Total 65 minutes
- Case studies: Rise and Robinhood•30 minutes
- Design as leverage point •20 minutes
- AI guardrails and their purpose •15 minutes
In the final module, you’ll consolidate your learning and apply key concepts in a capstone assessment. You’ll revisit your reflections, explore the real-world implications of AI and data-driven finance, and design a fictional but plausible intelligent financial product. This final project invites you to connect data, design, and impact, demonstrating how Open Data, AI, and embedded delivery can be aligned with ethical, inclusive, and transparent financial innovation.
What's included
1 video4 readings1 peer review
1 video•Total 2 minutes
- Final thoughts •2 minutes
4 readings•Total 55 minutes
- Course summary and reflection •15 minutes
- Bibliography and further reading•10 minutes
- Written assignment information•20 minutes
- Next steps•10 minutes
1 peer review•Total 120 minutes
- Written assignment submission•120 minutes
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Reviewed on Jun 22, 2025
Good conclusion with well designed written content and knowledge checks.
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