Dr. Sindhura Kannappan is an Assistant Professor at MEASI Institute of Management, Chennai, India. She holds an MBA (Gold Medalist, First Rank) from VIT University and a Ph.D. in Business Administration from the University of Madras. She is currently pursuing Post Doctoral Research at Lincoln University College, Malaysia. Her areas of expertise include Organizational Behaviour, Human Resource Management, Leadership, Business Analytics, Data Science, and Artificial Intelligence. With over 70 research papers published in Scopus and Web of Science journals, along with numerous patents and book publications, she serves as a reviewer and editorial board member for more than 70 international journals. She has received over 35 academic and research awards, including the Best Young Researcher Award, Research Excellence Award, and multiple Best Paper Awards at international conferences

Abstract Title : Managing the Human and Organizational Dynamics of AI/ML Integration Abstract : While the proliferation of Artificial Intelligence, Machine Learning, and cloud-native architectures has accelerated technical capabilities, the ultimate success of these systems is increasingly dictated by organizational readiness rather than algorithmic complexity alone. Technical deployments frequently stall due to a critical gap between advanced infrastructure and human-centric adoption, workflow friction, and cultural resistance. This talk explores the intersection of management science and AI/ML engineering, examining how organizational behaviour, structural frameworks, and leadership strategies can bridge the code-culture divide. Attendees will examine how to align Machine Learning Operations pipelines with human-in-the-loop workflows, cultivate psychological safety, and drive work engagement among cross-functional teams. By integrating behavioural constructs such as self-leadership and innovative work behaviour into technical deployment models, organizations can move beyond isolated machine learning proofs-of-concept to build sustainable, scalable, and value-driven intelligent enterprises