Artificial Intelligence is an approach to make a computer/machine, a robot, or a product to think like a human being. AI is basically simulations done on machines. Its core idea is to learn and mimic or emulate what humans do with utmost precision and accuracy. As the influence of AI becomes predominant in the current business context, it is imperative that the current black box model is not sufficient for practitioners as they are unwilling to blindly trust the predictions made by the algorithm. That’s where Explainable AI (XAI) comes into the picture. As humans find it ever so difficult to understand the decision making process of AI (as AI is being implemented in crucial avenues such as military technology and medicine), the importance of a robust methodology to implement models which can explain the decision making process comes to the forefront. Mr. Anirban Nandi is an expert in the field of AI and has given in-depth insights into XAI and its significance in the current business environment. With close to 15 years of professional experience, Anirban specializes in Data Sciences, Business Analytics, and Data Engineering spanning across various verticals of online & offline Retail. Here are the key takeaways from the session.