Briefly explain Data Modelling.

Data modelling (AI modelling) refers to the development of a program or algorithm that can be used to draw conclusions or generate predictions based on the available data. At this stage, an appropriate model is selected and trained with the data that has been acquired and explored, in order to achieve the goal of the AI project. AI models are mainly built using two approaches — the rule-based approach and the learning-based approach.