 Ladies and gentlemen, I'd like to share with you that in the evening we will be presenting the Influencer of the Year Award. So we're looking forward to that. Stay tuned. Don't go anywhere. All right. We now have a session by Iqfai Business School. I'd like to welcome on stage Professor Amarjeet Patpatiya, Associate Dean, Iqfai Business School, IBS, Mumbai, who will now be talking to us on Academic Intelligence, Artificial Intelligence. Please sir. Yeah. Good evening. Good evening. So far it has been fascinating and full of learning session. We couldn't have asked for more. So much of artificial intelligence knowledge and I'm just wondering whether AI had anything to do to decide two turbine speakers to come one after the other. I'm just wondering what all AI can do. I'm here to provide an academic perspective. A lot of discussions took place about human intervention and machine. And on behalf of the institution, here we are talking about human resources. You need human resources. As someone said, in today's business environment, big data and artificial intelligence inspires religious levels of devotion. The AI discussion has already unfolded and a brief addition from our side that AI is increasingly embedded in our consumer and business lives and is poised to transform how societies will function in the years to come. With this drop, we feel that there must exist some form of fusion between academic intelligence and artificial intelligence. So that for the sake of future readiness, this is cohesive and fused. AI goal is to build systems that will exhibit intelligent behavior and then understand intelligence in order to model it. Not stop here, but build systems to be better and master it. How do we gear up to meet the growing challenges and need for the skills in future in education institutes? AI will inevitably create new job types ranging from machine regulators to emotion engineers. And when we talk about emotions, that itself is a fascinating aspect. So to succeed students, this will need to understand how machines perform and what machines cannot do. Traditional roles such as business analysts, sales, human resources and others will be enhanced and AI requiring a new degree of proficiencies for frontline staff to interact with machines. While it is impossible for academia to keep up with the rate of change in technology, for us it is of vital importance to prepare ourselves and students for the new age of employment that is coming. We do have learning modules to include big data analytics, data mining, IT enabled services, business intelligence etc., but clearly more can be incorporated. It also leads us to believe that classes can be driven by AI projects with cooperation. Getting out of classroom is necessary for students to understand. Therefore, an increase in university corporate projects in the artificial intelligence area will provide students with the experience which is required. These projects will provide better understanding and we very keenly look forward to such a collaboration. Additionally, even the faculty can be associated for various AI projects and they can conduct AI research. We would look for mentors from the industry to help and support this kind of initiative. Therefore, to bring all at par with the business reality, academics industry partnership can be very enriching for all the stakeholders. Members of the faculty are very eager to take up research and assignments which can produce different insights and can be mutually rewarding. Projects can be identified which can involve students to carry out the work. Through this collaboration, knowledge will get disseminated and will help introduce to produce talent which is suitable for industry and is well versed with the basic understanding of AI. There are also opportunities like different MDPs and the academic conferences which offers platform to explore and deliberate business issues and challenges. Research papers can be jointly written with the members of the faculty blending the practical and research element. We are eagerly looking to bridge the gap as much as possible between what we do at the academic level and what are the latest practices and development towards customer engagement and insights. Please give us some breakthrough ideas to work on so that we can gear up to meet the growing challenges and prepare ourselves and the students for the skills needed for the future. We want to remain relevant and engaged. Please offer us the opportunities to be part of this learning the new science. Let us make this road map possible and valuable. Thank you very much. Mr. Srivastava is here in this room Mr. Ashutosh Srivastava. We would like to request him to please present the professor with a memento.