As Artificial intelligence (AI) is getting democratized across enterprises, it is slowly getting embedded in the fabric of our existence. An important aspect of this democratization is that end-users should be able to fully comprehend the process and mechanisms that AI is using to reach to a conclusion or how it is operating to deliver the desired outcomes. As human beings, we have a deep-rooted need to uncover the "why" and "how" of any phenomenon, which has accelerated our technological progress. In the context of AI, this understanding is termed as "explainability." More often than not, we approach AI as a "black box", where we only have awareness of the inputs and outputs, but somewhere the processes used are lost on us.