Hosted by Enoch H. Kang · 🇺🇸 US · EN · 120 episodes
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Enoch H. Kang hosts Marketing^AI, a business show with 120 episodes published.
We discuss the shift in artificial intelligence from general models to personalized systems , emphasizing that successful alignment depends on user diversity rather than just algorithms. Mathematical frameworks reveal th
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We explore how the inherent rigidity of property law and fiduciary responsibility prevents artificial intelligence from ever fully replacing human leadership. Because the legal system requires human accountability for as
Show notesWe explore how the agentic economy is transforming digital marketing from a competition for human attention to a struggle for algorithmic preference. As AI assistants increasingly handle search and transactions, companie
Show notesWe discuss a 1986 lecture by Richard Hamming, a renowned scientist who explores why certain researchers achieve extraordinary breakthroughs while others are eventually forgotten. Hamming argues that significant contribut
Show notesWe describes a fundamental transition from the Attention Economy to an Agentic Economy, where autonomous AI agents increasingly handle market transactions. In this new landscape, **marketing** is reimagined as a technica
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This paper proposes a novel approach to the challenging problem of forecasting consumer demand for new brands where preference is largely driven by intangibles. The central framework integrates a structural demand model,
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This paper presents a systematic study of **Generative Engine Optimization (GEO)** in the e-commerce sector, a practice now vital as LLMs deploy conversational shopping agents that rerank products. To address the lack of
Show notesThis paper describes an effort to improve the accuracy of historical U.S. Census transcriptions using a machine learning model . The authors focused on correcting errors in name transcriptions from the 1940 census for Rh
Show notesThis is from a working paper that analyzes the regulatory distortion in investment incentives within the United States natural gas pipeline network. The authors develop and estimate a structural model to compare the marg
Show notesThis paper examines the challenges of conditional ignorability, a key assumption in causal inference used to identify causal effects from observational data. It argues that assessing this assumption is more complex than
Show notesWe explore the imminent shift in the digital economy from a defensive model, where websites block automated agents, to an open, transactional "agent economy." This transformation is driven by the realization that website
Show notesThis discussion offers a comprehensive examination of the strategic importance of advanced analytics for driving business expansion. It highlights how organizations often struggle to leverage data effectively due to poor
Show notesThis academic paper from Meta Platforms introduces **AdLlama**, a novel large language model (LLM) designed to enhance generative advertising text on Facebook. The core innovation is **Reinforcement Learning with Perform
Show notesWe explore the **evolution of marketing** from AI-assisted to **AI-autonomous functions**, highlighting the profound implications for Chief Marketing Officers (CMOs). We argue that while AI currently boosts efficiency in
Show notesWe explore **transformative shift in marketing** due to AI, moving from AI-assisted to **AI-autonomous functions**. It highlights that while AI excels at **tactical tasks** like content optimization and performance marke
Show notesWe analyze the urgent need for a radical overhaul in marketing education due to the rise of Artificial Intelligence (AI) and Large Language Models (LLMs)**. It argues that traditional MBA programs are facing a **"crisis
Show notesWe outline **transformation of Artificial Intelligence (AI) in marketing**, moving from its current role as an **efficiency-boosting tool** to its future as an **autonomous, decision-making agent**. It categorizes this e
Show notesThis research introduces a novel framework for Visual In-Context Learning (VICL) , a method where artificial intelligence models learn from provided visual examples. The primary focus is on optimizing the selection of th
Show notesThis paper introduces GEPA (Genetic-Pareto) , a novel prompt optimizer designed for large language models (LLMs) and compound AI systems. Unlike traditional reinforcement learning (RL) methods that rely on numerical rewa
Show notesWe introduce and defend the "prediction policy problems" (PPP) framework, which posits that many public policy and economic challenges have an often-overlooked predictive element that machine learning (ML) can significan
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Marketing^AI is hosted by Enoch H. Kang. The show is categorised under business (marketing) and has published 120 episodes.
Marketing^AI has published 120 episodes.
Marketing^AI regularly covers business, marketing. It sits in the business category, with a marketing focus.
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