Session on Foundational Understanding of AI for SCMS-PG Faculty

The SCMS PG, Dayananda Sagar University, organized a session on “Foundational Understanding of Artificial Intelligence,” which covered key aspects of AI through a well-structured agenda including AI terminologies, Machine Learning (ML), Deep Learning (DL), Generative AI, Agentic AI, Large Language Models (LLMs), and GPU architecture. The session aimed to build conceptual clarity among faculty and highlight the growing relevance of AI in management education.

Prof. Amit Sinha explained how Generative AI enables the creation of content such as text, images, and code using advanced deep learning models, and emphasized the importance of foundation models and LLMs in enabling scalable and versatile AI applications. He also introduced Agentic AI workflows, demonstrating how AI systems can execute multi-step processes such as research, drafting, and revision, thereby enhancing productivity and decision-making.

Further, the session highlighted the role of GPU computing in accelerating AI workloads. Concepts such as TFLOPS, memory bandwidth, and latency were explained to illustrate their impact on performance. The discussion also covered cloud-based GPU solutions and scalable AI infrastructure, reflecting current industry trends.

The session was highly interactive, encouraging faculty participation and discussion. It enabled faculty members to understand how AI can be effectively integrated into teaching, research, and curriculum design, thereby preparing them to incorporate AI-driven approaches in management education.