Study goals
To map the current landscape of these initiatives, investigating the technologies employed, the challenges faced, and the results obtained so far To this end, contracts and services disclosed on transparency portals will be analyzed, providing a critical view of the current stage
Relevance / originality
The mapping of the current landscape of AI initiatives in banks, the technologies employed, the challenges faced, and the results obtained can assist and guide other initiatives in this area.
Methodology / approach
The methodological approach adopted is qualitative and exploratory, aiming to investigate the implementation of artificial intelligence in Brazilian public banks.
Main results
The results highlight a heterogeneous landscape in the adoption of AI by Brazilian public banks, with disparities between institutions in terms of both the volume of contracts and the technologies implemented, reflecting different levels of digital maturity and various approaches to innovation.
Theoretical / methodological contributions
Systematization for investigating AI adoption strategies in the public banking sector.
Social / management contributions
These findings have important implications for the strategy of AI adoption in the Brazilian public banking sector.