Automation of Tacit Knowledge Using Machine Learning
This paper presents an approach to capture tacit knowledge effortlessly and efficiently. It is a well known fact that at a work place, converting tacit knowledge into explicit knowledge is difficult and hence organizations lose critical information and best practices when a skilled employee leaves. Hence, regular capture of implicit data becomes critical. This paper focusses not only on a technique to acquire this tacit knowledge but also how to make it as seamless as possible so that it does not become cumbersome on the employee. This paper discusses about a bot, which captures data from the employee on a regular basis and transforms this data into tacit knowledge using text analytics. The bot also self learns about the employee's role and the work that the employee is currently working on. The bot tunes itself to ask the right set of questions to the employees. This approach is generic and can be customized and extended to fit to one's project need.
2019 6th International Conference on Soft Computing Machine Intelligence (ISCMI)