Chapter 14: Integrating AI and ML Technologies Into Indigenous Financial Systems: Applications of AI and ML in Indigenous Financial Management

This chapter of the book is inspired by the specific aim to investigate the possibilities that Artificial Intelligence (AI) and machine learning (ML) generate on indigenous financial systems particularly in addressing financial decision-making, risk management, and customer relations. Through the implementation of AI/ML, such microbanks that exist to cater for indigenous citizens can enhance credit rating, fraud identification, and service delivery so as to enhance on financial services that are in consonance with the indigenous people's needs. Concerning the advantages of the discussed AI and ML integration, this chapter focuses on the following insights: accurate and effective financial decisions as a result of big data analyses, risk management with the help of monitoring and detection of unusual patterns, and enhancing customer relations with smart founded bots and recommendations. This chapter also analyzes various potential challenges some of which are the availability and quality of data, the requirement for expertise in the technological field, and lastly, the culture and structure of the organization that might resist the implementation of such technologies. In this chapter, examples of successful AI and ML implementation in indigenous financial systems across the globe are explained, and this section offers the indigenous financial institutions specific ideas, lessons learned from other places, and experiences that will prove useful as they continue to advance their digital transformations. The last part of this chapter provides the concluding remarks in the given discussion on possible future directions and opportunities of AI and ML integration for development, such as enabling finance inclusion and supporting indigenous peoples and organizations and sustainable economic initiatives.