Open Data and Intelligent Finance

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' s