Scholar to speak on AI capabilities, privacy regulations

When marketers turn to artificial intelligence (AI) for insights, it’s important that they fully understand the implication on privacy that using this tool has.

This week’s Goodman Luncheon Speaker Series event will explore the development of AI in marketing and how government privacy regulations impact its value.

Rajkumar Venkatesan, Ronald Trzcinski Professor of Business Administration at University of Virginia’s Darden School of Business, will share his recent research and a five-step framework for marketers to personalize their customer engagement through AI. His work suggests how, contrary to popular belief, privacy regulations can increase the value of AI by deepening trust between firms and consumers.

On Friday, March 4, Venkatesan will present his findings during his virtual talk, “AI in Marketing and Privacy Implications.”

Venkatesan teaches quantitative marketing to Master of Business Administration and executive education students globally. At the Darden School of Business, he teaches a marketing analytics and a marketing technology products course. Translating his knowledge into books, Venkatesan wrote Cutting Edge Marketing Analytics, published by Pearson Education (2014) and AI Marketing Canvas (2021), and his work has also been published extensively in numerous academic journals.

The Goodman speaker series provides Goodman faculty, staff and students with an informal opportunity to listen and discuss recent advances in research, teaching and practices with business colleagues virtually.

Venkatesan’s talk will take place on Friday, March 4 from 12:30 to 2 p.m. Master of Science students are welcome to attend in person at TH259 and all other attendees can RSVP to receive a link to the session by emailing Crystal Li at

Read more stories in: Briefs, Business
Tagged with: , , , ,