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?

您将学到什么
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
您将获得的技能
- Finance
- Responsible AI
- Financial Services
- Business Ethics
- Financial Inclusion
- Data Sharing
- Financial Data
- Open Source Technology
- AI Personalization
- Interoperability
- Product Design
- Human Centered Design
- FinTech
- Artificial Intelligence
- Data Ethics
- Financial Regulation
- Data Governance
- Application Programming Interface (API)
- Real Time Data
- Payment Systems
- 技能部分已折叠。显示 11 项技能,共 20 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有5个模块
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.
涵盖的内容
6个视频14篇阅读材料1个作业9个插件
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.
涵盖的内容
1个视频5篇阅读材料1个作业4个插件
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.
涵盖的内容
3个视频8篇阅读材料1个作业5个插件
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.
涵盖的内容
2个视频3篇阅读材料1个作业3个插件
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.
涵盖的内容
1个视频4篇阅读材料1次同伴评审
获得职业证书
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已于 Jun 22, 2025审阅
Good conclusion with well designed written content and knowledge checks.
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Saïd Business School, University of Oxford

Saïd Business School, University of Oxford
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。



