Rajkumar Venkatesan
Rajkumar Venkatesan is the Ronald Trzcinski and John Tyler Professor of Business Administration, and the Co-Academic Director of the LaCross Institute for Ethical AI in Business at the Darden Business School at the University of Virginia. Raj has written about and taught Quantitative Digital Marketing to MBA and executive education students worldwide. His teaching experience and research at Darden translated into the books, Cutting Edge Marketing Analytics, published by Pearson Education in 2014 and AI Marketing Canvas in 2021. He has published extensively in the Journal of Marketing, Journal of Marketing Research, Marketing Science, Journal of Academy of Marketing Science, International Journal of Research in Marketing, Harvard Business Review, and California Management Review. He serves as an Associate Editor for the Journal of Academy of Marketing Science. He is a recipient of several awards including the Long-Term Impact in B2B Marketing from ISBM, and the Well Fargo Award for course materials development. More than 450,000 individuals have participated in his courses on Coursera. Venkatesan has consulted with large enterprises and startups in the technology, retailing, media, industrial goods, financial services, and life sciences industries. He has developed custom executive education programs and data analytics software for Capital One, CFA Institute, Dr. Reddy Labs, DFW Airports, Explore Learning, ExxonMobil, General Electric, General Dynamics, HBO, IBM, Johnson & Johnson, MAS Holdings, Navy Federal Credit Union, Pitney Bowes, Rosetta Stone, SAP, Teradata, State Farm, Tata Sons, and TEG Analytics.

Sessions
As businesses strive to become AI-first, the pivotal role of AI practitioners extends beyond technical implementation to encompass strategic stewardship. This transition necessitates a profound understanding of organizational goals, data governance, and ethical considerations. By aligning AI initiatives with business objectives, fostering cross-functional collaboration, and addressing challenges such as data privacy and employee adaptation, AI professionals can drive effective transformation. This keynote explores the essential competencies and approaches required for AI practitioners to lead their organizations successfully into an AI-centric future.