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Course Outline

AI within the FinTech Ecosystem

  • The evolution of FinTech: transitioning from basic digitization to intelligent systems.
  • Value creation through AI: focusing on personalization, automation, and fraud prevention.
  • Real-world case studies from challenger banks and AI-first platforms.

Open Banking and API Infrastructure

  • Overview of PSD2, Open Finance, and global Open Banking regulatory frameworks.
  • Utilizing APIs for account aggregation, payment processing, and data services.
  • Developing and testing API integrations using Postman.

Machine Learning for FinTech Innovation

  • Application of supervised and unsupervised ML in credit assessment, KYC processes, and recommendation engines.
  • Leveraging FinTech data sources, including transaction streams and behavioral insights.
  • Engineering low-latency ML pipelines to support real-time decision-making.

Conversational AI and Embedded Finance

  • Integrating LLMs and chatbots for enhanced digital advisory and customer support.
  • Implementing voice assistants and natural language interfaces.
  • Incorporating AI into embedded lending, insurance, and savings products.

RegTech, Ethics, and Compliance

  • The role of AI in identity verification and AML monitoring protocols.
  • Addressing fairness, bias, and explainability within financial AI systems.
  • Navigating ethical considerations in data utilization and automated processes.

Prototyping AI-Enhanced FinTech Products

  • Utilizing rapid prototyping tools and FinTech sandbox environments.
  • Mapping user journeys and integrating value-added AI features.
  • Applying design thinking to foster responsible and inclusive financial services.

The Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking.
  • AI governance strategies and the evolving regulatory landscape.
  • Developing strategic plans for AI-first product roadmaps.

Summary and Next Steps

Requirements

  • A solid grasp of financial products and digital platform ecosystems.
  • Practical experience in data-driven product design or development processes.
  • A keen interest in API-centric architectures and AI application scenarios.

Target Audience

  • Product Managers
  • FinTech Founders
  • Strategy Leaders
 14 Hours

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