Saïd Business School, University of Oxford
Open Data and Intelligent Finance
Saïd Business School, University of Oxford

Open Data and Intelligent Finance

Pinar Ozcan

位教师:Pinar Ozcan

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
4.7

(15 条评论)

初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
4.7

(15 条评论)

初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

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

要了解的详细信息

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最近已更新!

June 2025

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 AI in Financial Services: Foundations through future trends 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
  • 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

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位教师

Pinar Ozcan
Saïd Business School, University of Oxford
2 门课程938 名学生

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学生评论

4.7

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