Sai, C., Sadiq, S., Han, L., Demartini, G., & Rinderle-Ma, S. (2024). Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-Based Ranking, Crowd and Expert-Driven Methods. arXiv: 2401.02986.

has been cited by the following article:

• TITLE: Key Trends Driving Adoption of Generative Artificial Intelligence in Malaysian Banking Sectors

  AUTHORS: Nazrul Irwan Mohd Nor

  KEYWORDS: Technology, Generative Artificial Intelligence, Artificial Intelligence, Banking, Financial Sector, Malaysia

  JOURNAL NAME: Technology and Investment, Vol.15 No.1, February 29, 2024

  ABSTRACT: The financial sectors in Malaysia are being influenced by worldwide occurrences, like regulatory changes, financial reforms, technological disruptions and advancements, demographics, sociopsychological factors, healthcare developments, global trade dynamics, and geopolitical events. Consequently, banks are making substantial investments and ramping up funding, particularly in the field of Artificial Intelligence (AI), to mitigate the risk of disruptions. With the pandemic experiences, AI has been broken down for better management into Machine Learning (ML), Deep Learning (DL) and Generative AI. Tools and companies are proliferating at an astonishing rate evolving in the Banking ecosystem since 2021. In this research, the key trends currently driving adoption of Generative AI in the Malaysian Banking Sectors are investigated using a convenience survey method from 5 banks in Malaysia. The results show a variety of workforce transformations that will be critical to creating an agile and fit-for-future financial personnel.