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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.

Day 4 closes out Signal & Noise’s first Cannes Lions with conversations that capture where marketing is headed next. From AI agents and ad fraud to transparency, identity, enterprise transformation, and publisher innovation, Rio Longacre, Brett House, and Krish Raja speak with leaders from Dstillery, CHEQ, Stagwell Marketing Cloud, Chili Piper, Credera, and more to wrap up an unforgettable week at Cannes Lions 2026.

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.

AI won't just eliminate managers—it will collapse entire categories of work. As AI absorbs research, analysis, coding, design, and coordination tasks, the value of specialization declines while the value of judgment rises. The winners won't be the people who know the most, but those who can combine experience, context, and AI into unprecedented leverage. The real challenge isn't replacing workers—it's figuring out how the next generation gains the experience needed to become

As AI leaders envision a future of abundance powered by “machines of loving grace,” an older warning feels newly relevant. Drawing on E.M. Forster’s The Machine Stops, this essay explores a question that receives surprisingly little attention: What happens when humans outsource not just labor, but memory, judgment, creativity, and thinking itself? The most important question about AI may not be what machines become—but what humans become in response.

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

Advertising is coming to AI, but it may not reshape the industry in the way many expect. In this article, Rio Longacre examines the fierce debate between skeptics, optimists, and purists, arguing that ads will become a significant revenue stream for AI platforms like OpenAI, Anthropic, and Gemini. The key insight: unlike Google Search, these companies already generate extraordinary subscription and enterprise revenue, making advertising highly valuable—but ultimately incremen

The content supply chain is entering its AI moment—but most organizations aren’t ready. This piece breaks down how agentic systems are transforming content creation, orchestration, and activation, shifting from manual workflows to intelligent, end-to-end pipelines. The winners won’t just use AI—they’ll redesign how content flows from idea to impact.

Final day of POSSIBLE 2026 in Miami shifts from hype to clarity. Leaders highlight AI’s move from tools to systems—driving agentic workflows, orchestration, and infrastructure. Key themes: control layers, governance, multichannel gaps, composable CDPs, and the fall of legacy AdTech. The takeaway: this isn’t future-state—AI transformation is already here, and the industry is racing to catch up.

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.

Recorded live at POSSIBLE 2026 in Miami, this Signal & Noise episode features top leaders in advertising, media, data, and AI. Through rapid interviews, experts explore AI monetization, CTV, ad quality, creator ecosystems, and brand trust. Key takeaway: innovation isn’t the problem—execution is. Watch full interviews on YouTube.

After years of digital overload and AI-generated noise, B2B is snapping back to what actually builds trust: real human interaction. This piece explores the rise of the “IRL Era,” where influence flows through communities, practitioners, and in-person experiences—not funnels, forms, or automation—and why companies that show up will win.

Who wins and who loses when media buying goes agentic? AdCP isn’t just a new protocol—it’s a shift in where media decisions happen. As allocation moves upstream from auctions to agent-driven negotiation, DSPs, SSPs, publishers, and agencies all face structural disruption. This isn’t about better automation. It’s about control—and a fundamental reshaping of how the market operates.

UX isn’t being redesigned—it’s being replaced. As AI shifts systems from navigation to action, interfaces fade and design moves upstream. This piece explores the collapse of traditional UX, the rise of agentic systems, and why the future of design is about orchestrating outcomes—not building screens.

The agency model is splitting. Some holdcos are evolving into integrated operating companies built on data, platforms, and AI. Others remain loosely connected portfolios of services. As media becomes automated and margins compress, the winners will be those who own the infrastructure behind marketing — not just the execution in front of it.

Customer Data Platforms are entering a new phase — not convergence, but fragmentation. This article explores four emerging futures for the CDP: the Agentic Control Plane, the Intelligent Marketing Platform, the Unified Experience Stack, and the AI-Ready Data Layer. Each reflects a different vision for how AI, data, and marketing operations will evolve—and what role the CDP may play in the years ahead.

At RampUp in San Francisco, hosted by LiveRamp, industry leaders gathered to discuss the future of identity, data collaboration, retail media, and AI in advertising. In this Signal & Noise episode, hosts recap the event and share insights from top AdTech voices on how privacy, data, and AI are reshaping modern marketing.

For fifteen years, advertising has revolved around real-time auctions. But as agentic AI and protocols like AdCP emerge, machines can now reason, remember, and negotiate—not just bid. This shift could move value upstream into continuously negotiated, agent-to-agent deals, relegating open exchanges to clearing remnant supply. The result: a market defined less by speed and auctions, and more by automated, machine-executed negotiation.

After a blockbuster Q4 2025, AppLovin has cemented itself as AdTech’s most valuable — and polarizing — company. Explosive ad growth and margin expansion suggest its AI engine is working. But success brings scrutiny. With Meta looming over in-game and performance budgets, the real question is whether an independent optimization layer can keep scaling inside a world dominated by walled gardens.

For the past year, Brett House and I have been building something we believe this industry has been missing. Today, we officially launch Signal & Noise. This isn’t just a podcast or a website. It’s a platform for real conversations about the future of advertising, marketing, media, and technology—without the buzzwords or recycled narratives. We curate operators: founders, builders, and practitioners with real accountability and real scars. Signal & Noise brings together candi