This chapter reviews five technologies that are reshaping the way financial services products and services are delivered. The discussion illustrates how these technologies are associated with governance, ethics, and human behavior issues. The chapter explains how artificial intelligence and machine learning enable personalization, fraud detection, credit modeling, robo-advice, and behavioral nudges, while raising concerns about explainability and bias. The chapter also shows how regulatory technology and supervisory technology automate compliance and oversight through data aggregation, analytics, and real-time monitoring, while introducing vendor dependence and model accountability issues. The discussion then clarifies how Distributed Ledger Technology and tokenization can shorten settlement cycles and reduce costs. The chapter also describes open banking supported by Application Programming Interfaces, which shift data control to consumers and unlocks third-party innovation while still relying on trust, liability clarity, and strong security. The chapter evaluates cloud computing and Software as a Service protocols to enhance scalability and speed in ways that balance concentration risk, shared-responsibility security, and public confidence. The chapter concludes by presenting strategies that can be used to promote responsible adoption of technology that aligns with regulatory requirements and firm culture.

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Emerging Trends in the Financial Services Profession

  • Wookjae Heo,
  • John E. Grable

摘要

This chapter reviews five technologies that are reshaping the way financial services products and services are delivered. The discussion illustrates how these technologies are associated with governance, ethics, and human behavior issues. The chapter explains how artificial intelligence and machine learning enable personalization, fraud detection, credit modeling, robo-advice, and behavioral nudges, while raising concerns about explainability and bias. The chapter also shows how regulatory technology and supervisory technology automate compliance and oversight through data aggregation, analytics, and real-time monitoring, while introducing vendor dependence and model accountability issues. The discussion then clarifies how Distributed Ledger Technology and tokenization can shorten settlement cycles and reduce costs. The chapter also describes open banking supported by Application Programming Interfaces, which shift data control to consumers and unlocks third-party innovation while still relying on trust, liability clarity, and strong security. The chapter evaluates cloud computing and Software as a Service protocols to enhance scalability and speed in ways that balance concentration risk, shared-responsibility security, and public confidence. The chapter concludes by presenting strategies that can be used to promote responsible adoption of technology that aligns with regulatory requirements and firm culture.