Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Director of the Stanford Digital Economy Lab at HAI. He is also the Ralph Landau Senior Fellow at SIEPR, and a Professor, by courtesy, at the Stanford Graduate School of Business and at the Department of Economics. He is a Research Associate at the National Bureau of Economic Research and co-author of six books, including The Second Machine Age. His research, teaching and speaking focus on the effects of digital technologies, including AI, on the economy and business.

Title: “The AI Awakening: Implications for Business and the Economy”

Our economic institutions, organizations, and skills have not kept up with rapid advances in AI. In this growing gap lie many of society’s greatest challenges and opportunities. This talk will discuss some of the underlying trends in technology and the implications for productivity and the future of work, including findings from research studies.

Naveen Zutshi is the Chief Information Officer (CIO) at Databricks. He was previously the CIO at Palo Alto Networks for the last six years where he was responsible for corporate wide analytics & AI, applications, global infrastructure, operations, and corporate services. Prior to this, Naveen was SVP, Infrastructures & Ops at Gap responsible for Corporate & E-Commerce infrastructures, overall security, and global operations. Naveen has also worked in an SaaS startup as VP, Engineering and was previously in various IT management roles at Cisco.

Title: “Bridging the AI Value Gap with Good Data”

In the next decade, every company will be a data and AI company. Every industry needs data, analytics, and AI to make their customer engagement more effective, people more productive, operations more efficient, and products/services more desirable. To deliver successful AI initiatives, bad data cannot be a recipe for success and without proper governance, you cannot ensure good data. Databricks has a front row seat to what’s happening in Enterprise AI (and GenAI) in companies ranging from Fortune 500 to unicorn startups and will share the key trends, use cases and applications that are shaping the AI revolution across industries.

James Crowley, Senior Managing Director, Global Products Industry Practices Chair, Accenture

James is Accenture’s global Products industry practices chair, with a focus on seven industries: consumer goods & services, retail, industrial, life sciences, aerospace & defense, travel & hospitality, and automotive. He is also a member of Accenture’s Global Management Committee.

Prior to this role, James led the Industry Networks for North America. He was responsible for 19 Industries, across all Services and Market Units. Before that, he served as the Products group lead in the Northeast Market Unit, responsible for all of Accenture’s business at life sciences, consumer, retail, travel, industrial and mobility clients. With more than 27 years of experience, James has worked internationally serving clients in North America, Europe and Growth Markets.

James graduated from the Wharton School at the University of Pennsylvania and holds a Bachelor of Science in Economics with concentrations in Finance and Strategic Management.

Erika H. James became the dean of the Wharton School on July 1, 2020. Trained as an organizational psychologist, Dean James is a leading expert on crisis leadership, workplace diversity, and management strategy.

Prior to her appointment at Wharton, Dean James was the John H. Harland Dean at Emory University’s Goizueta Business School from 2014 to 2020.
An award-winning educator, accomplished consultant, and innovative researcher, she has paved the way for women in leadership both in education and corporate America. Dean James has been instrumental in developing groundbreaking executive education programs, including the Women in Leadership program at the University of Virginia’s Darden School.

Dean James serves on the boards of Morgan Stanley, The Economic Club of New York, Pomona College, and The Philadelphia Orchestra and Kimmel Center, Inc. She is a sought-after thought leader whose expertise has been quoted by The Wall Street Journal, MSNBC, Bloomberg, The Washington Post, and numerous other media outlets. Her latest book is The Prepared Leader: Emerge from Any Crisis More Resilient Than Before (Wharton School Press) which she co-authored with Lynn Perry Wooten, President of Simmons University.

Ada Aka, Assistant Professor of Marketing, Stanford GSB
Title: “Conversational AI Impacts Information Learning and Memory”

Piyush Anand, Assistant Professor of Marketing, Rice University
Title: “Can LLM Adoption Promote Greater Equity? Evidence from Online Consumer Activism Petitions”

Neeraj Arora, Professor, UW-Madison
Title: “AI-Human Hybrids for Marketing Research: Leveraging LLMs as Collaborators”

Mehmet Ayvaci, Associate Professor, Jindal School of Management, The University of Texas at Dallas
Title: “What People Think of Machines as Doctors: Unveiling the Value of Gen-AI for e-Health”

Matthew Baird, Senior Staff Economist, LinkedIn
Title: “The impact of GitHub Copilot on Labor Market Outcomes for Software Engineers”

Sundar Bharadwaj, Professor of Marketing, University of Georgia
Title: “A Generative-AI Based Approach to Detect Greenwashing in Marketing Communications”

Hemant Bhargava, Distinguished Professor, UC Davis
Title: “Decoding Unstructured Text: Enhancing LLM Classification Accuracy with Redundancy and Confidence”

Léonard Boussioux, Assistant Professor, University of Washington (Foster), HBS
Title: “AI-Augmented Evaluations of Early-Stage Innovations: Balancing Subjective and Objective Criteria through Explainable AI”

Hancheng Cao, PhD Candidate, Stanford University
Title: “Can large language models provide useful feedback on research papers? A large-scale empirical analysis.“

Wei Chen, Associate Professor, University of Connecticut
Title: “The Economics of AI Foundation Models: Openness, Competition, and Governance“

Anil Doshi, Assistant Professor, UCL School of Management
Title: “Generative Artificial Intelligence and Evaluating Strategic Decisions”

Sardar Fatooreh Bonabi, Doctoral Student, University of California, Irvine (UCI)
Title: “The Impacts of Generative AI on Software Development”

Chaoyue Gao, Assistant Professor, University of Science and Technology of China
Title: “ChatGPT-Empowered Product Recommendation and Online Word-of-Mouth: Evidence from Online Travel Agency“

Christian Hildebrand, Professor of Marketing Analytics, Institute of Behavioral Science, University of St. Gallen
Title: “Biased Echoes: Generative AI Models Reinforce Investment Biases and Increase Portfolio Risks of Private Investors“

Manuel Hoffmann, Postdoctoral Scholar, Harvard Business School
Title: “Generative AI and Distributed Work: Evidence from Open Source Software”

Tijmen Jansen, PhD Student, University of Hamburg
Title: “From Pixel to Purchase: Exploring Visual Generative AI for Effective Customer Engagement and Brand Building“

Samuel Jay, Executive Director of Emergent Technology & Academic Transformation, Metropolitan State University of Denver
Title: “The Role of Generative AI in Reducing Faculty Administrative Work”

Franziska Kaiser, PhD Student, HEC Lausanne & BU
Title: “Strategic Behavior and AI Training Data”

Arvind Karunakaran, Assistant Professor, Management Science and Engineering, Stanford University
Title: “Upskilling versus Deskilling Spirals in the Wake of Gen AI within Organizations”

Jaymo Kim, PhD Student, Tepper School of Business at Carnegie Mellon University
Title: “Bias in Generative AI”

Samsun Knight, Assistant Professor, University of Toronto
Title: “Generative AI and User-Generated Content: Evidence from Online Reviews”

Madhav Kumar,  Post-Doc, MIT
Title: “Generative AI and Personalized Video Advertisements”

Dokyun Lee, Associate Professor, Boston University
Title: “Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina”

Yan Leng, Assistant Professor, University of Texas at Austin
Title: “Reduce Disparity Between LLMs and Humans: Optimal LLM Sample Calibration“

Ye Li, Associate Professor, University of California, Riverside
Title: “Complementarity Neglect: People Fail to Select AI Collaborators with Complementary Abilities”

Yi Liu, Assistant Professor, University of Wisconsin-Madison
Title: “GenAI Assistance in a Professional Service Market: The Perish of Second Opinion”

Lauren Lu, Professor of Business Administration, Dartmouth College, Tuck School of Business
Title: “Generative AI in Action: Field Experimental Evidence on Worker Performance in E-Commerce Customer Service Operations”

Yingda Lu, Assistant Professor, University of Illinois Chicago
Title: “The Impact of AI-Generated Summaries on Viewer Engagement”

Xueming Luo, Professor, Temple University
Title: “Artificial Intelligence for Dirty Jobs in Customer Services”

Mikhail Lysyakov, Assistant Professor of Computers and Information Systems, University of Rochester
Title: “Is Social Bot Socializing? Evidence from a Microblogging Platform“

Lijia Ma, PhD Candidate, University of Washington
Title: “Learning to Adopt Generative AI”

Yu Ma, PhD Candidate, MIT
Title: “Optimizing E-Commerce with LLM-Enhanced Knowledge Graphs”

Daesan Oh, PhD Candidate, KAIST, College of Business
Title: “Towards the next generation of modern portfolio theory: GenAI-based multimodal stock prediction model”

Nicholas Otis, Doctoral Candidate, UC Berkeley
Title: “Generative AI, Social Interaction, and Entrepreneurial Performance”

Jiaxin Pei, Postdoctoral Fellow, Stanford University
Title: “Modeling and Detecting Company Risks from News”

Abhishek Ray, Assistant Professor, Donald G. Costello College of Business at George Mason University
Title: “AI and the Changing Nature of Journalism”

James Reeder III, Assistant Professor of Marketing, KU School of Business – University of Kansas
Title: “Using Contextual Embeddings to Predict the Effectiveness of Novel Heterogeneous Treatments“

Ruben Salas,  PhD Student, The Wharton School, University of Pennsylvania
Title: “Artificial Intelligence Sense of Humor and its Economic Effects for Creative Industries”

David Schweidel, Professor of Marketing, Emory University
Title: “Automated Alignment: Guiding Visual Generative AI for Brand Building and Customer Engagement”

Joao Sedoc, Assistant Professor, New York University
Title: “Dbot: Aswath Damodaran’s Analytic Twin”

Minkyu Shin, Assistant Professor, City University of Hong Kong
Title: “Consumer Voice with Large Language Models: Evidence from Complaint Data in the Finance Industry”

Ertugrul Uysal, Postdoctoral Researcher, ETH Zurich
Title: “Closing the Gap or Giving (More) Power to the Powerful? How and When AI Empowers Employees”

Shai Vardi, Assistant Professor, Purdue University
Title: “A Random Walk Modeling Framework for Boosting the Creativity of Humans and AI“

Gavin Wang, Assistant Professor, University of Texas at Dallas
Title: “Artificial Intelligence, Lean Startup Method, and Product Innovations”

Maximilian Witte, PhD Student, University of Hamburg
Title: “Automating fit in visual influencer marketing: Leveraging generative AI to align interests of marketing and influencers”

Xingchen Xu, PhD Student, University of Washington
Title: “The Two Towers of Search: How Large Language Models Reshape Traditional Search Patterns”

Wendao Xue, Postdoctoral Researcher, University of Texas at Austin
Title: “LLM-enabled Causal Study of Emotion”

Shubin Yu, Associate Professor, BI Norwegian Business School
Title: “Working with Ghosts in the Machine: Generative AI and the Dehumanization of Self”

Yuan Yuan, Assistant Professor, UC Davis
Title: “Generating Scientific Hypotheses in Social Sciences with Hypothesis Graphs and LLMs”

Xuan Zhao, CEO & Co-founder, Flourish Science
Title: “Introducing Sunnie and the STAR Framework: Key Considerations for Designing LLM-Based Conversational Agents for Enhancing Mental Well-Being“

Eric Zhou, PhD Candidate, Boston University Questrom School of Business
Title: “Who Expands the Creative Frontier with Generative AI?”