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


Beyond the Pixel: Jer Tippets on AI, Customer Data, Privacy, and the Future of Digital Measurement
Every AI breakthrough starts with something less glamorous than the latest model: clean, trustworthy data. In this episode of Signal & Noise, Hyatt's Jer Tippets joins Brett House and Rio Longacre to explain why data quality, governance, identity, and privacy are the real foundation of AI. From customer identity and CDPs to personalization and digital measurement, this conversation explores what brands need to get right before AI can truly deliver.
3 days ago


The AI Race Isn’t About Models Anymore. It’s About Data.
As enterprises race to deploy AI, many are discovering that the biggest challenge isn’t choosing the right model—it’s building a trusted, consented, real-time data foundation. In this article, we explore why data quality, identity, and consent are becoming the true competitive advantage in enterprise AI, and how companies like Tealium are helping organizations prepare for this next era of intelligent, customer-centric experiences.
Jul 11


Signal & Noise at Cannes Lions 2026 – Day 3 Compilation With Rio Longacre, Brett House & Krish Raja
Day 3 at Cannes Lions 2026 brought some of the week's most insightful conversations from Hearst House. Signal & Noise sat down with leaders from Experian, Klarna, Zeta Global, Hearst, ID5, Real Chemistry, Omnicom Media Group Health, and MediaRadar to explore AI deployment, identity, healthcare innovation, measurement, and why trusted data and premium content are becoming more valuable as the industry moves from AI experimentation to real-world execution.
Jun 26


Signal Break: Tejas Manohar, Co-CEO of HighTouch Talks LiveRamp Data Purchase Proposition (from Publicis)
For weeks, reports suggested Publicis was exploring a relationship with Hightouch following its acquisition of LiveRamp. In this special Signal & Noise Signal Break, Hightouch CEO Tejas Manohar publicly confirms those discussions for the first time. Brett House, Rio Longacre, and Tejas explore what it could mean for identity, composable CDPs, AI, activation, and the future of marketing infrastructure.
Jun 19


The Negotiated Future: Ethan Settel on Newton Research, Agentic Media Buying, and the Reinvention of Media Operations
The future of marketing isn't about managing more software—it's about connecting data, intelligence, and decision-making. Scott Brinker explains how AI is dissolving the boundaries between MarTech, AdTech, and enterprise operations, creating a new operating model built around context, automation, and orchestration.
Jun 4


POSSIBLE 2026 Day 2: Where AI Meets the Real Operating System of Marketing
Day 2 of POSSIBLE 2026 features Signal & Noise live from Miami, with top voices across adtech, martech, and AI. Topics include agentic media buying, first-party data, AI-driven measurement, identity, and infrastructure. Key themes: AI as decisioning systems, data bottlenecks, stack consolidation, and rebuilding measurement—showing how marketing is being re-architected for a data-native future.
May 6


The Activation Gap: Rob McLaughlin on Why First-Party Data Still Isn’t Moving the Needle
First-party data is widely valued—but rarely used in media. In Signal & Noise, Rob McLaughlin (explains why less than 3% of spend leverages it. The issue isn’t tools—it’s a broken model. Learn how brands can activate data directly from their cloud, reduce costs, improve speed, and shift from moving data to moving signals for better performance.
Apr 27


The Old MarTech Stack Is Breaking, Part I: Semantic Layers Are the New Keeper of Data and Advertising Coherence with Leighton Welch & Sarah Martinez from Tracer
In this episode of Signal & Noise, Tracer’s Leighton Welch and Sarah Martinez explore how enterprise stacks are shifting to data-first, with the semantic layer at the core. We unpack five key trends—from warehouse-native architecture to AI readiness—and why success depends on shared, trusted data. Key takeaway: AI doesn’t fix bad data—it exposes it.
Apr 8
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