Abstract
Knowledge Transfer is fundamental to creating value in organizations due to its help to develop advantages and achieve strategic objectives. In the last decade Artificial Intelligence (AI) has demonstrated a key impact in society by enable task automation and enhancing decision-making processes across diverse economic industries. This paper explores the interplay between AI, knowledge transfer, and human learning theories within the context of corporate banking. Through a detailed case study, a model is proposed for leveraging AI to facilitate knowledge preservation and transfer in the on-boarding process. Subsequently, this approach is compared with a traditional on-boarding model, examining its effectiveness within the corporate banking sector. This rigorous analysis concludes that the AI model reduces operator learning time, minimizes costs due to the release of staff-hours and guarantees transactional continuity for the case study.
Presenters
Angelica CaviedesStudent, Magister Degree, Escuela Colombiana de IngenierÃa Julio Garavito, Distrito Capital de Bogotá, Colombia
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Knowledge Economies as the Constant
KEYWORDS
Artificial Intelligence, Knowledge Transfer, Human Learning Techniques, On-Boarding
