*The Digital Twin of an Organization by Utilizing Reinforcing Deep Learning DOI: http://dx.doi.org/10.5772/intechopen.96168*

related to human biases. One of the most promising new technology is Digital Twin that uses simulation model driven AI. "To build an efficacious Digital Twin, it's important to first agree what problem needs to be solved or what opportunity needs to be explored and how accurate do the predictions need to be" [11].

Human competencies, for example leadership and working skills, have certain causalities to long term productivity. It seems that human competence has three performance-driving characteristics that can be described according to motivation theory as feelings of safety, team culture, and passion for work. It is clear that a passion for work affects a person's performance in a very different way than for example occupational safety issues. In addition, human is a psychophysical entity tied to his own situation. Therefore, the combination of all motivational drivers determines performance [12].

First, we have to study human capital productivity, which includes working time and the utilization of intangible human assets. Human intangible assets refer to performance on how effectively is the working time utilized, and how much value a person produces at each working hour. An employee may work for eight hours a day, but out of that working time, how much is actually used effectively in creating value? This basic understanding of how each employee produces value needs to be recognized before any reliable simulation analytics can be made.
