All Episodes
Marketing^AI — 121 episodes
EK_JMP
Strategic Architecture of Personalized AI and User Diversity Economics
The Strategic Advantage of Business Schools in the AI Era
Semrush and the Agentic Economy Strategic Memo
Richard Hamming: The Art of Doing Great Research
Preference Engineering: Marketing in the Agentic Economy
Generative Brand Choice
E-GEO: A Testbed for Generative Engine Optimization in E-commerce
Improving Historical Census Transcriptions: A Machine Learning Approach
Regulation, Investment, and Misallocation in Natural Gas Pipelines
On the Structural Basis of Conditional Ignorability
The Agent Economy: From Bots to Monetized Markets
The Analytics Mandate: Monetizing Data for Growth
Improving Generative Ad Text on Facebook using reinforcement learning
Autonomous Marketing: Architecting the Future CMO Role
CMO's Guide to Autonomous Marketing and AI Reward Models
AI Era Marketing Education: A Strategic Blueprint
Marketing's Agentic AI Transformation: From Efficiency to Autonomy
Towards Global Optimal Visual In-Context Learning Prompt Selection
GEPA: Generative Feedback for AI System Optimization
Defending Prediction Policy Problems: Pragmatism in Algorithmic Governance
Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy
Human Expertise in Algorithmic Prediction
On the (Mis)Use of Machine Learning with Panel Data
Prediction Policy Problems
Immersive Marketing's New Reality: Quest and Smart Glasses
The Limitations of Large Language Models for Understanding Human Language and Cognition
AI Agents: Reshaping Marketing Strategy
APIGen-MT: Agentic PIpeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
TRELLIS: Microsoft's Generative 3D AI Marketing Transformation
Test-Time Alignment Strategies for Large Language Models
Let's verify step by step
Trading Off Value Creation and Value Appropriation: The Financial Implications of Shifts
Marketing AI: Hunting Thunder Lizards in 2025
Essays on Digital Marketing Analytics
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
Conformal Tail Risk Control for Large Language Model Alignment
Bayesian Optimization with Conformal Prediction Sets
The AI Reckoning: Navigating the Transformation of the Global Advertising Industry
In-context learning enables multimodal large language models to classify cancer pathology images
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation
Depicting Image Quality in the Wild
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality
Depicting Beyond Scores: Advancing Image Quality Assessment through
A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook
What Makes Good Examples for Visual In-Context Learning?
Towards Global Optimal Visual In-Context Learning Prompt Selection
Causal Discovery in AI: Internal vs. External Explanations
Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks
The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
Learning Fair And Effective Points-Based Rewards Programs
Automating Hypothesis Generation with LLMs and Meta-Analysis
Hypothesis Generation with Large Language Models
LLM Evaluation: Scoring vs. Pairwise Comparison
Deriving Phrase-Level Attention from BERT Models
From AI Wrapper to System of Work: Sustainable SaaS Evolution
AI Interfaces and Business Software Impact
VLMs for Image Scoring and Self-Explanation
Mantis: Multi-Image Instruction Tuning for LMMs
Vision-Language Models for Ad Click Prediction
LLaVA-Critic: Evaluating Multimodal Models
Persona-Driven Ad Click Prediction with GPT-4V: Feasibility Analysis
Economics in the Age of Algorithms
Information Signals in Sponsored Search: Evidence from Google’s BERT
The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems
How Effective is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform
Advertising in AI Systems: Society Must Be Vigilant
LLMs and In-Context Beliefs
Prompt Engineering: Architecting Its Own Obsolescence
Adaptive Ad Generation Using Twin-2K-500 Data
Autonomous AI: The New Marketing Frontier
Outcome-Informed Weighting for Robust ATE Estimation
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Nonparametric Instrumental Variable Inference with Many Weak Instruments
Collider Bias from Unstructured Data Covariates
The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates∗
Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel
The GenAI Future of Consumer Research
Augmenting Data and Inferential Frameworks
A Unifying Framework for Robust and Efficient Inference with Unstructured Data
Particle Filtering and Sequential Monte Carlo Explained
Walled Gardens and Digital Marketing Data Ownership
The Creative Brief in the Age of GenAI
Reward-Guided Generation in Diffusion Models: A Tutorial
Decoding Adora AI's Vision for Marketer Empowerment
Samsung-backed Liner Tests AI Search Ads
Private Submodular Maximization for Data Summarization
Perplexity AI Ad Effectiveness Analysis
Interpretable Mechanism Design with Large Language Models
Value of Offsite Tracking Data to Advertisers
Ads in Conversations
Meta AI Advertising: A Quantitative Marketing View
Meta's AI Advertising Revolution: Vision, Implications, and Ethics
LLM Interactions Avoid Game Theory Pathologies
Learning efficient equilibria in repeated games
Subjective Equilibrium in Repeated Games
Possibility of Bayesian learning in infinitely repeated games
Rational Learning Leads to Nash Equilibrium
QALIGN for Business School Research and LLM Alignment
A high-dimensional choice model for online retailing
Pretraining Structural Models: Consumer Search Application
Political Ideology Predicts Price Negotiation
Household Decision Factors in Disposal
New Product Preannouncements and Shareholder Value: Don't Make Promises You Can't Keep
Calendar-Time Portfolios for Long-Term Event Studies
Grounded Persuasive Language Generation for Marketing
AI Agents and the Limits of Process Outsourcing
Outsourcing Contracts: Marketing and Management Science Synthesis
Outsourcing Contracts: Incentives, Risk, and the AI Agent Era
Incomplete Contracts: A Framework for AI Alignment
AI and the Rise of Outcome-Based Marketing
Shareholder wealth implications of software firms’ transition to cloud computing: a marketing perspective
Stock Return Response to Marketing Strategy: A Modeling Overview
Tylenol Poisonings and Brand-Name Capital: 1982 Study
Event Study Methodology: A Review of Fundamental Topics
Econometrics of Event Studies
Event Studies and Stock Returns: A Review for Marketing
Demand Estimation with Unstructured Product Data
Resource-Based Theory vs. Five Industrial Organization Schools
Beyond Conjoint Analysis: The Future of Preference Measurement