Prof. Ganesh. V Iyer

Professor of Practice

Ganesh Iyer is a technology entrepreneur and AI systems architect whose work focuses on advancing the development and responsible deployment of artificial intelligence in real-world enterprise environments. His interests span Artificial Intelligence, Machine Learning, Generative AI, agentic systems, enterprise reasoning, and trustworthy AI, with a particular emphasis on building intelligent systems that are reliable, governed, and capable of delivering measurable real-world impact. He is the founder and architect of Cerebrio and CortexOS, initiatives focused on enterprise AI intelligence, reasoning systems, and the development of governed AI capabilities. His work explores how enterprise context, evidence, memory, evaluation, and learning mechanisms can be integrated to improve AI system performance, reliability, and decision support.

His research interests include trustworthy and responsible AI, AI governance, agentic AI architectures, enterprise intelligence and reasoning, continuous AI improvement, and methods for evaluating the operational, business, and societal impact of AI systems. He is particularly interested in bridging the gap between advances in AI research and their practical application in complex organisational settings. Ganesh holds an MBA in Finance and an Executive Master’s in Technology and Strategy from MIT Sloan. He is currently pursuing a Doctor of Business Administration (DBA) in Generative AI at Golden Gate University, where his academic interests align with the responsible adoption of AI, technology strategy, and the evaluation of AI’s real-world impact.

Through industry engagement, applied research, and interdisciplinary collaboration, he aims to contribute to AI education and innovation by helping students understand not only how intelligent systems are developed, but also how they are evaluated, governed, and translated into meaningful outcomes for industry and society. Research Interests: Artificial Intelligence and Machine Learning; Generative AI and Agentic Systems; Trustworthy and Responsible AI; AI Governance and Evaluation; Enterprise Reasoning and Intelligence Systems; Continuous AI Improvement; AI Impact Assessment and Technology Strategy.