Publicação
Artificial Intelligence in the Banking Sector: Development of a Framework for Effective Deployment
| Resumo: | This dissertation addresses the integration of Artificial Intelligence (AI) in the banking sector, with a particular focus on the development of a structured framework to guide the systematic adoption of AI technologies, offering systematic guidelines to assist the banking sector in identifying, evaluating, and effectively implementing AI technologies. The research employs the Design Science Research methodology, starting with an extensive review of existing literature on AI applications within the banking industry. Following this, the framework was built based on these findings and refined through the application of the Strategic Alignment Model (SAM), ensuring that AI implementations are aligned with the strategic objectives of banking institutions. Subsequently, a survey was conducted with two industry professionals, distinguished by their level of expertise, to gather insights and feedback, discussing the limitations and suggestions for future work, and highlighting areas for further refinement and enhancement of the framework. Despite its strengths, the volatility of the evolution of AI technology and the absence of multiple use case demonstrations are among the framework's limitations. Consequently, future research should focus on extending the framework's adaptability to different banking environments since it could expand the framework's scope to cover a wider range of banking services, implement it in a real bank for further refinement, and explore more use case scenarios to demonstrate its applicability and robustnessin diverse contexts. |
|---|---|
| Autores principais: | Tavares, Ana Rita Figueiredo |
| Assunto: | Artificial Intelligence Banking Industry Framework Development Innovation Management Technology Adoption SDG 9 - Industry, innovation and infrastructure |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | This dissertation addresses the integration of Artificial Intelligence (AI) in the banking sector, with a particular focus on the development of a structured framework to guide the systematic adoption of AI technologies, offering systematic guidelines to assist the banking sector in identifying, evaluating, and effectively implementing AI technologies. The research employs the Design Science Research methodology, starting with an extensive review of existing literature on AI applications within the banking industry. Following this, the framework was built based on these findings and refined through the application of the Strategic Alignment Model (SAM), ensuring that AI implementations are aligned with the strategic objectives of banking institutions. Subsequently, a survey was conducted with two industry professionals, distinguished by their level of expertise, to gather insights and feedback, discussing the limitations and suggestions for future work, and highlighting areas for further refinement and enhancement of the framework. Despite its strengths, the volatility of the evolution of AI technology and the absence of multiple use case demonstrations are among the framework's limitations. Consequently, future research should focus on extending the framework's adaptability to different banking environments since it could expand the framework's scope to cover a wider range of banking services, implement it in a real bank for further refinement, and explore more use case scenarios to demonstrate its applicability and robustnessin diverse contexts. |
|---|