『AI: Machine-Made Marketing』のカバーアート

AI: Machine-Made Marketing

AI: Machine-Made Marketing

著者: AI: Machine-Made Marketing
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Explore the power of Artificial Intelligence in marketing, where advanced algorithms and data-driven insights are transforming how businesses engage with their audience. ​

Discover how AI can elevate your strategy and drive growth in today’s digital landscape.

Copyright 2025 All rights reserved.
マーケティング マーケティング・セールス 経済学
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  • Deep Learning, IntentGPT, and the New Rules of Performance Marketing — With Jaysen Gillespie of RTB House
    2025/12/07
    In a marketing world reshaped by privacy shifts, fragmented identity, and the rise of next-generation AI, performance advertisers face both a reckoning and a renaissance. In this episode of AI: Machine-Made Marketing, we sit down with Jaysen Gillespie, Global Head of Analytics and Product Marketing at RTB House, to break down how deep learning is redefining personalization, why contextual targeting is being reborn, and how marketers should prepare for the volatile years ahead. Jaysen unpacks the evolving “cookie-reduced ecosystem,” the difference between machine learning and true AI, and why the marketers who win will be the ones who embrace curiosity, diversify their toolkits, and lean into incrementality as their guiding metric. He also takes us behind the scenes of IntentGPT, RTB House’s breakthrough approach to contextual relevance powered by large language models.
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    21 分
  • How Imagination Is Rewriting Experiential Creativity with Simon Levitt
    2025/12/01

    In this episode of AI: Machine-Made Marketing, we sit down with Simon Levitt, Global Creative Technology Director at Imagination, to explore how AI is fundamentally transforming experiential marketing — not just behind the scenes, but at the front lines of customer engagement.

    Simon shares how generative and conversational AI are accelerating creative development, enabling rapid prototyping, and giving brands smarter, more contextual ways to interact with audiences. He explains why “depth, not scale” is the new frontier of personalization, and how natural-language interfaces are becoming powerful storytelling tools inside physical experiences.

    From Apple Vision Pro experiments to AI-assisted pre-visualization, to combining computer vision, agents, and generative models into entirely new customer journeys, Simon pulls back the curtain on the technologies reshaping experience design. He also unpacks the challenges — hallucinations, QA, feasibility checks, production realities — and why skilled humans remain essential in the creative loop.

    If you’re curious about where experiential marketing goes next, or how AI can elevate in-person brand moments in ways that were impossible just a few years ago, this conversation delivers the roadmap.

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    22 分
  • Cutting Through the Noise: Dennis Kirschner on Brand Safety, Walled Gardens & the Future of the Open Web
    2025/11/20

    On this episode of AI: Machine-Made Marketing, we sit down with Dennis Kirschner, Co-Founder & CMO of ShowHeroes Group, for an unfiltered look at the escalating content crisis inside the walled gardens — and what it means for advertisers navigating an AI-accelerated media ecosystem.

    Dennis breaks down why AI-generated content is exploding at unprecedented scale across major platforms, creating volatile new risks around brand safety, misinformation, and transparency. Instead of suggesting brands pull out of the walled gardens, he explains how to invest smarter, ask harder questions, and reclaim clarity in environments that are becoming increasingly opaque.

    He also maps out what he sees as the antidote:

    • A multiscreen strategy anchored in premium publishers

    • The open web as a counterweight to fraud-ridden feeds

    • And AI-powered tools that elevate targeting precision, content suitability, and performance across trusted environments

    Looking ahead, Dennis shares his perspective on how AI will re-balance power between the walled gardens and the open web — and what advertisers and publishers need to prepare for as machine-generated media continues to reshape attention, authenticity, and trust.

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    19 分
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