Guest Lecture on Artificial Intelligence in Business

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The School of Business & Management – BBA, CHRIST (Deemed to be University), Pune Lavasa Campus, organized a Guest Lecture titled “Artificial Intelligence in Business: From Automation to Intelligent Systems” on 17th March 2026, from 10:30 AM to 11:30 AM, for the students of Second Year BBA Honours (4 BBA Honours). The session was conducted as part of the course “AI in Business Applications”, offered under participative learning methodology. The lecture was held in an online mode and coordinated by Dr. Barna Naidu. The programme witnessed enthusiastic participation from 25+ students, who actively engaged throughout the session.

The guest lecture was delivered by Dr. Shivam Swarup (Ph.D.), Assistant Professor at JAIN (Deemed-to-be University), Bengaluru. The objective of the session was to provide students with a structured understanding of Artificial Intelligence and its growing significance in business decision-making and organizational efficiency. Dr. Swarup began the lecture by introducing the fundamental concepts of AI and explaining its increasing relevance across industries. He provided a clear distinction between Artificial Intelligence, Machine Learning, and Deep Learning, and explained how these technologies are interconnected. The session helped students understand that AI acts as a broad umbrella, while machine learning enables systems to learn from data, and deep learning builds on this using advanced neural networks to solve complex problems.

A major focus of the lecture was on how intelligent systems are trained using large datasets. Dr. Swarup explained the working of neural networks, describing how machines learn through processes such as training, pattern recognition, and iterative improvement. This conceptual foundation enabled students to understand how AI systems can identify trends, recognize images, process language, and make automated decisions. The session further explored predictive analytics, highlighting its importance in modern business operations. Dr. Swarup explained how organizations utilize historical data to forecast future outcomes and improve strategic planning. Examples were shared on how predictive analytics supports business areas such as demand forecasting, customer behavior prediction, risk assessment, and sales planning. This discussion helped students connect AI concepts to real-world business applications.

Another important segment of the lecture focused on the integration of Artificial Intelligence with the Internet of Things (IoT). Dr. Swarup explained how smart devices generate real-time data and how AI systems analyze this information to create intelligent and automated environments. The discussion emphasized how IoT-enabled AI solutions are widely used in smart manufacturing, logistics, healthcare monitoring, and energy management systems. The role of robotics and automation was also highlighted as a key driver of productivity and efficiency in organizations. Dr. Swarup discussed the use of robotic systems in industries and explained the difference between Robotic Process Automation (RPA) and AI. He clarified that RPA is primarily rule-based automation designed for repetitive tasks, whereas AI systems are capable of learning, adapting, and improving decision-making over time.

The session introduced emerging concepts such as Large Language Models (LLMs) and Natural Language Processing (NLP). The speaker explained how these technologies enable machines to understand, interpret, and generate human language, and how businesses are using NLP for customer service automation, sentiment analysis, content generation, and conversational AI tools. The lecture concluded with an insightful discussion on the impact of AI on industries and the future of work. Dr. Swarup emphasized how AI is reshaping job roles, transforming skill requirements, and increasing the importance of human–AI collaboration. Students gained awareness of how professionals must adapt by building analytical, technical, and critical thinking skills.

The guest lecture was highly informative and engaging. It provided students with strong conceptual clarity and practical exposure to the growing applications of AI in business, making it a valuable participative learning experience.


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