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The Complete Feed
Explore every Signal & Noise podcast, article & video in one place from all our guests & contributors.


The Peculiar Rise of the Marketing Engineer: How AI Is Redesigning the Marketing Profession
Artificial intelligence isn’t just changing how marketers work—it’s redefining the profession itself. As AI automates execution, a new role is emerging: the Marketing Engineer. This article explores why marketing is becoming an engineering discipline, how AI is reshaping marketing organizations, and why the future belongs to those who can design intelligent systems where humans and AI work together to create customer value.
Aug 5


News, Trust, and Polarization: Vanessa Otero on the Fragmented Media Era
In this episode of Signal & Noise, Vanessa Otero, Founder and CEO of Ad Fontes Media and creator of the Media Bias Chart, joins Rio Longacre and Brett House to explore trust, misinformation, media fragmentation, and the future of journalism. The conversation examines social media algorithms, AI-generated content, local news decline, brand safety, CTV advertising, and whether objective journalism can survive in today’s polarized information ecosystem.
Jun 8


The MarTech Stack Is Dead: RIP
The MarTech Stack was built for a world where humans operated software manually. But AI agents don’t navigate dashboards, workflows, and software categories the way people do — they orchestrate systems. As AI collapses the boundaries between Martech, AdTech, data infrastructure, and workflow automation, the industry is shifting away from disconnected stacks of tools and toward integrated Marketing Operating Systems built around context, orchestration, identity, and intelligen
Jun 3


The CDP Redux: Category Creation to AI Fragmentation, with Dale Renner, CEO of Redpoint Global
The CDP isn’t dead—it’s just evolved. In this episode, Dale Renner breaks down how the category fragmented, why most CDPs failed to unify data, and how “everyone became a CDP.” The takeaway: without strong data and identity, personalization falls flat. The future isn’t platforms—it’s clean data, composable systems, and owned AI layers.
Apr 6
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