Join advertising industry veterans Brett House and Rio Longacre as they share regular updates and analysis on the changing world of data, tech, and AI. You’ll hear real talk from thought leaders across industries about the latest trends having the biggest impact on our jobs… and lives. Signal & Noise means no BS - only straight talk and first-hand insights from leading operators, creators, and founders.
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Staying Human in the Al Inevitability: Douglas Rushkoff on Signal & Noise at Advertising Week 2026
Thursday, October 29, 2026 • Duration 37:30
Douglas Rushkoff has spent decades asking a question that feels more urgent than ever: Are we building technology to serve human beings, or slowly reorganizing human life around the needs of technology?
Recorded live at Advertising Week 2026 at MCM Creative Studios in New York City, Rio Longacre and Brett House sit down with Rushkoff—author, media theorist, professor, documentarian, and host of Team Human—for a wide-ranging conversation about AI, technology, human agency, and what we risk losing if intelligence becomes the only thing we value.
Rushkoff is not an AI doomer, but he is deeply skeptical of the inevitability narrative surrounding artificial intelligence. While much of the industry is focused on bigger models, greater automation, and the possibility of machine superintelligence, Rushkoff asks a different question: What happens to us along the way?
He explains where the idea for “Team Human” came from, beginning with a debate with futurist Ray Kurzweil over whether humanity should eventually “pass the evolutionary torch” to intelligent machines. Rushkoff’s response was simple: human beings are strange, social, emotional, embodied creatures—and that may be a feature rather than a limitation.
The conversation gets into how AI can either strengthen or weaken human thinking. Rushkoff argues that using AI before wrestling with a problem can encourage intellectual outsourcing, while using it afterward can help challenge assumptions, explore ideas, and expand perspective. The problem isn’t necessarily the technology. It’s what we ask the technology to do for us.
Rio, Brett, and Doug also debate whether AI really represents something fundamentally new or is the logical culmination of the internet; whether language models can ever become truly sentient; why embodiment, emotion, grief, intimacy, and lived experience remain difficult to reduce to computation; and whether intelligence alone is enough to constitute life.
They also dig into the economic incentives behind the AI boom, the enormous physical infrastructure required to support it, the environmental trade-offs of data centers and computation, and Rushkoff’s concern that the values of the people and institutions building these systems inevitably influence the systems themselves.
At the same time, the conversation explores the other side of the argument: AI’s potential to accelerate scientific discovery, solve enormously complex problems, improve medicine, address climate challenges, and give individuals capabilities that would have seemed impossible only a few years ago.
This is not a conversation about whether AI is “good” or “bad.” It is about what we want technology to be for—and whether, in the race toward increasingly capable machines, we can remember to stay human.
Who Controls the AI Answer? | Saroop Bharwani on Signal & Noise at Zeta Live 2026
Tuesday, October 27, 2026 • Duration 34:33
What happens when the search result disappears—and the answer itself becomes the interface?
Recorded live at Zeta Live 2026 in New York City during Advertising Week, Brett House sits down with Saroop Bharwani, Co-Founder and CEO of Senso, for a deep dive into one of the biggest emerging questions in marketing: Who controls what AI says about your brand?
For decades, marketers optimized around search rankings, websites, paid media, and the familiar “10 blue links.” But consumers are increasingly turning to ChatGPT, Gemini, Perplexity, and other AI assistants for direct answers. As Saroop puts it, the answer is beginning to eat the entire funnel.
That creates an entirely new challenge for brands.
It’s no longer enough to rank on Google. Brands need to understand whether they appear in AI-generated answers, which sources those models are citing, how they compare with competitors, whether the information being surfaced is accurate—and ultimately whether they can influence the context from which AI systems generate their responses.
Saroop explains how his background building technology inside highly regulated industries shaped his perspective on AI. Long before generative AI became mainstream, financial institutions were already wrestling with issues that have suddenly become critical for every enterprise: accuracy, governance, explainability, permissions, data sovereignty, and trust.
The conversation explores why context may become one of the most important forms of enterprise intellectual property in the AI era. As agents begin operating across websites, product catalogs, knowledge bases, CRMs, data platforms, and internal systems, companies need a trusted layer that tells those systems what information is correct, who can access it, and where it came from.
Saroop also discusses Senso’s Verified Sources approach, creating an audit trail around AI-generated content that can show which sources were used, which humans verified the information, which agents generated it, and how that information changed over time.
Brett and Saroop also get into:
Signal & Noise LIVE at Zeta Live 2026: Ed See, Chief Growth Officer at Zeta Global
Monday, October 26, 2026 • Duration 35:15
What happens when marketing stops being a collection of channels, campaigns, and technologies—and starts becoming an intelligence function?
Recorded live at Zeta Live 2026 in New York City, during Advertising Week, Brett House sits down with Ed See, Chief Growth Officer at Zeta Global, for a wide-ranging conversation about AI, customer intelligence, the changing role of the marketer, and what the next generation of marketing organizations will look like.
Ed brings a unique perspective to the discussion. After decades advising some of the world’s largest companies—including senior roles at McKinsey and Deloitte—he made the move from adviser to operator at Zeta. His view of marketing is refreshingly straightforward: ultimately, marketers are responsible for creating profitable customers.
That means moving beyond impressions, clicks, ROAS reports, and other activity metrics toward understanding where real growth opportunities exist. Ed breaks the challenge into four fundamental capabilities: recognizing a pocket of opportunity, reaching it, delivering something relevant, and measuring the result.
From there, Brett and Ed explore why identity and signals are becoming foundational to modern marketing. Personalization is no longer enough. The opportunity is precision: understanding not only who someone is, but what they need, when they need it, and when a genuine transition or buying moment is occurring.
The conversation also turns to one of the biggest changes facing marketers: consumers increasingly have AI agents sitting between themselves and brands. Marketers have spent decades learning how to influence people emotionally. But as Ed points out, LLMs “think and do”—they don’t feel. That creates an entirely new constituency that brands will need to understand, influence, and remain discoverable to.
Brett and Ed also dig into the changing marketing organization: the rise of the technically fluent marketer, Ed’s earlier thinking around the Chief Marketing Technology Officer, why hyper-specialization may give way to broader marketing roles, and how AI could finally begin breaking down some of the organizational silos that have existed for decades.
The Future of the Connected Customer Stack | Zack Wenthe & Adrian Bolosan | Signal & Noise LIVE at Advertising Week 2026
Thursday, October 22, 2026 • Duration 01:10:10
What happens to the enterprise marketing stack when AI becomes more than another feature—and starts changing how data, technology, people, and decisions actually work together?
Recorded live at Advertising Week 2026 in New York City at MCM Creative Studios, Rio Longacre and Brett House sit down with two longtime friends of the show and two of the smartest voices in data and marketing technology: Zack Wenthe, Director of Product Marketing & Customer Data Evangelist at Tealium, and Adrian Bolosan, Head of ISV GTM, AMER Enterprise & Emerging at Databricks.
This conversation goes well beyond the usual AI talking points. It’s a wide-ranging discussion about how enterprises are actually adapting their MarTech and AdTech stacks for an AI-driven world—and what’s real versus the latest industry hype.
The conversation starts with one of the industry’s favorite words: composability. Has the composable stack actually won? Or has it become another catch-all marketing term? Zack and Adrian explore why enterprises are moving applications closer to their data, the growing role of federated architectures, and why flexibility increasingly matters more than buying another monolithic platform.
From there, the discussion gets into the foundation underneath every AI strategy: data. AI is only as useful as the signals feeding it. The group discusses data collection, tag management, governance, identity resolution, consent, context, and why enterprises need to understand what data they have before trying to unleash agents on top of it.
They also tackle one of the biggest unresolved questions in marketing technology: Where should decisioning live? In the data cloud? The CDP? The CRM? Or directly inside the activation channel? The answer may increasingly depend on the moment—combining historical intelligence from platforms like Databricks with real-time signals captured at the edge.
The conversation then turns to how AI is changing the marketing organization itself. The traditional marketing technologist is evolving into the marketing engineer—someone who can connect systems, data, agents, models, and workflows while understanding the business problem being solved. At the same time, marketers are gaining the ability to interrogate enterprise data through natural language instead of waiting on analysts, engineers, or data science teams.
AI Intelligence and Competitive Advantage | Matt Krepsik & Vas Bakopoulos | Signal & Noise LIVE at Advertising Week 2026
Tuesday, October 20, 2026 • Duration 49:39
What happens when everyone has access to the same AI?
In this special live episode of Signal & Noise, recorded in front of an audience at MCM Creative Studios during Advertising Week New York, Brett House and Rio Longacre sit down with Matt Krepsik, CEO of MediaRadar, and Vas Bakopoulos, SVP and Head of Industry Research at MMA Global, for a fast-moving conversation about AI intelligence, marketing, creativity, and competitive advantage.
The discussion starts with new research from MediaRadar examining how advertising and media professionals are actually using AI. Among 500 industry professionals surveyed in July 2026, 87% said they actively use AI in advertising and media decisions, while 92% reported changes to products, services, or pricing as AI reshapes the industry. But widespread adoption raises a much bigger question: If everyone has the same tools, where does real differentiation come from?
Matt and Vas dig into the tension between AI adoption and AI trust: data provenance, outdated information, hallucinations, proprietary data, governance, and why brands need to think carefully about the intelligence and data sitting underneath their models. The conversation explores why the competitive advantage may increasingly live not in the model itself, but in the data, memory, skills, guardrails, workflows, and proprietary knowledge surrounding it.
From there, the panel goes deep on what AI means for the future of advertising: agency operating models, in-housing, the ad-tech supply chain, creative intelligence, and the opportunity to finally reconnect planning, creative, activation, and measurement.
And then comes one of the biggest ideas of the conversation: when everyone has the same box of AI-powered crayons, the advantage shifts back to the painter.
Matt and Vas make the case that the future of marketing will place an even greater premium on taste, craft, judgment, perspective, and distinctive ideas. AI can accelerate production, analyze enormous numbers of permutations, and expose new opportunities—but it still takes people to decide what is worth creating in the first place.
It’s thoughtful, provocative, occasionally irreverent, and a lot of fun—exactly what a live Signal & Noise conversation should be.
Building the Agency Operating System | Adam Woods & Amy Crowther | Signal & Noise LIVE at Advertising Week 2026
Monday, October 19, 2026 • Duration 01:11:35
If AI can execute in seconds what agencies once billed for in hours, what should clients pay for next?
Filmed live at Advertising Week 2026 at MCM Studios in New York City, this episode of Signal & Noise features Adam Woods, Global Chief Product Officer, and Amy Crowther, CEO, Americas, at Incubeta.
They join hosts Rio Longacre and Brett House for a candid conversation about the future of agencies, the economics of AI, and what it takes to connect technology, talent, and data around better business outcomes.
Building an agency operating system means more than assembling a collection of tools. Adam and Amy discuss how agencies can bring creative, media, measurement, and client-owned intelligence into a more connected way of working—and why changing how people work is just as important as changing the technology.
From creative production and data infrastructure to client relationships and pricing, this conversation gets into the practical decisions behind agency transformation.
In this episode:
• Beyond billable hours: How AI challenges staffing-based fees and traditional service models, and why the real opportunity is in how agencies reinvest efficiency gains.
• Connecting creative and media: Why clients still struggle with the gap between creative ideas and media execution, and how shared performance data can give teams a stronger starting point.
• Creative intelligence in practice: How understanding which assets work—and why—can inform production, testing, and optimization, rather than leaving creative teams waiting for feedback.
• Client-owned data and intelligence: Why brands should build on their own knowledge, how fragmented tools create disconnected data, and what agencies can do to help clients retain control.
• Measuring business impact: Moving beyond click-through rates, cheap impressions, and platform-reported success to questions about profitable growth, customer acquisition costs, and incremental contribution.
• Bringing brand and performance together: Why short-term results need to be understood alongside long-term brand investment, and how agencies can help CMOs make a stronger case to CFOs.
Creative Judgment in the AI Era | Brandon Mikolaski | Signal & Noise LIVE at Advertising Week 2026
Sunday, October 18, 2026 • Duration 01:32:13
Creative Judgment in the AI Era | Brandon Mikolaski | Signal & Noise LIVE at Advertising Week 2026
As AI makes content faster and easier to produce, what makes creative work worth paying attention to?
Filmed live at Advertising Week 2026 at MCM Studios in New York City, this episode of Signal & Noise brings together hosts Rio Longacre and Brett House with Brandon Mikolaski, Director of Creator Partnerships at Forbes Creator Network, for a candid, funny, and wide-ranging discussion about creativity, audience trust, and the human judgment behind great work.
Brandon brings a perspective shaped by stand-up comedy, creative leadership, branded entertainment, and his time leading creative and content at GSTV. Now at Forbes Creator Network, he helps connect creators’ expertise and communities with opportunities across video, podcasts, live events, and original programming.
The conversation explores where AI and automation genuinely help creative teams, where they fall short, and why experience, taste, and a strong point of view still matter. Brandon shares how his team at GSTV used automation to produce tens of thousands of video variations, while keeping quality control and creative decisions in human hands. He also explains why he uses AI for research and operational tasks while keeping campaign ideas rooted in collaboration and human insight.
In this episode:
• Creative judgment in an AI-driven industry: Why generating more content doesn’t automatically mean making better work, and how experienced creatives bring context, intention, and taste to the tools.
• Building Forbes Creator Network: How Brandon approaches creator selection, why demonstrated expertise matters, and what publishers can offer beyond distribution.
• Credibility and brand partnerships: Why the strongest integrations start with a real connection between the creator and the brand, and how audiences recognize when that connection is missing.
• Attention, context, and measurement: Lessons from GSTV about understanding where people are, what they’re doing, and how creative fits into their day.
The Bid Request Has Receipts: Eric Tilbury on Clean Supply, ID-Free Buying, and the Craft of Programmatic
Thursday, October 15, 2026 • Duration 01:15:51
Programmatic advertising has spent years getting smarter about audiences. But what if the bigger problem is that buyers still don’t fully understand what they’re actually buying?
Eric Tilbury, Vice President of Programmatic Ops & Solutions Engineering at Inuvo, joins Rio Longacre and Brett House for a deep dive into the machinery underneath modern programmatic advertising—and why better technology doesn’t necessarily produce better media buying.
Eric is an operator first. He has spent more than a decade inside campaign management, supply optimization, contextual decisioning, CTV, DSPs and the plumbing that determines whether a bid request ever reaches a buyer in the first place. That experience has also made him one of the more outspoken voices in AdTech on supply quality, measurement and what he sees as the industry’s bad habits.
The conversation starts with a deceptively simple idea: ID-free targeting is not necessarily the same thing as buying ID-free inventory. A contextual strategy may not require an identifier, but DSP settings around frequency caps, conversion tracking and optimization can still systematically favor impressions with IDs—or prevent ID-free opportunities from reaching the campaign at all.
From there, Eric explains why clean supply is not just a brand-safety exercise. Buyers need to know the publisher, seller and path behind an impression, especially in CTV and mobile apps. Cheap CPMs and attractive platform metrics can conceal low-quality placements, opaque reselling, bot traffic and inventory no advertiser would intentionally choose.
The discussion also gets into one of Eric’s biggest contrarian ideas: iOS and other ID-light environments may represent an overlooked buying opportunity. When advertisers optimize around what is easiest to identify and attribute, they can systematically ignore valuable consumers—and sometimes reward the inventory most capable of gaming their measurement systems.
Eric also breaks down Inuvo’s IntentKey approach, which uses content, concepts, sentiment and real-time signals to make buying decisions without building the decision around an individual user profile.
And then the conversation turns to measurement. Eric argues that platform ROAS, CPA and CTR should be treated as directional optimization metrics—not as the ultimate source of truth. If advertising is actually working, the question should be whether it created incremental business results that would not have happened otherwise.
Who Replaces Switzerland? Mathieu Roche on Rebuilding the Identity Commons
Sunday, October 11, 2026 • Duration 01:20:32
For years, LiveRamp played the role of “Switzerland” in digital advertising: a neutral identity layer connecting brands, agencies, publishers, platforms, data providers, and measurement partners. But with Publicis moving to acquire LiveRamp, can infrastructure owned by one of the world’s largest agency groups still credibly claim neutrality?
In this episode of Signal & Noise, Rio Longacre and Brett House sit down with Mathieu Roche, Co-founder and CEO of ID5, to explore what happens when one of advertising’s most important shared rails suddenly has an owner with a very different strategic position.
Mathieu argues that the industry now has a genuine reason to build alternatives—but replacing RampID is not the same thing as replacing LiveRamp. LiveRamp’s position was built through identity resolution, onboarding, publisher integrations, data collaboration, activation, measurement, and years of network effects. Recreating that requires more than another identifier. It may require an entirely new coalition of independent companies.
The conversation gets into what that new identity commons could actually look like. Mathieu explains why identity should function more like a common currency or language between buyers and sellers—open, interoperable, and usable across platforms rather than controlled by either side. He also explains why identity is just as critical for measurement as targeting: if advertisers cannot connect exposure to outcomes across devices and environments, they cannot prove performance or optimize investment.
Rio, Brett, and Mathieu also dig into ID5’s acquisition of TrueData, which Mathieu describes as a kind of “Rosetta Stone” connecting different identifiers, devices, users, households, and offline data into the ID5 ecosystem. The discussion explores deterministic versus probabilistic identity, why conventional “match rate” metrics can be misleading, and why the real question is whether an identifier can actually be found and activated against in the wild.
They also examine the publisher side of the equation: how identity can increase bid density and monetization, how ID5 works alongside companies such as Optable and Permutive, and why publishers need deeper knowledge of their audiences if they want to regain leverage from the buy side.
Wyoming's Data Center Boom: Dawson Kluesner on Economic Opportunity, Public Backlash, and the Infrastructure Behind AI
Thursday, October 8, 2026 • Duration 01:22:54
AI may live in the cloud, but the infrastructure behind it is very physical: land, power plants, transmission lines, water systems, construction crews—and communities deciding whether they actually want massive data centers in their backyard.
In this episode of Signal & Noise, Rio Longacre and Brett House sit down with Dawson Kluesner, Director of External Affairs for the Wyoming Association of Municipalities and Coordinator for the Wyoming Economic Development Association. Dawson sits at a fascinating intersection: he works with the cities and towns evaluating major infrastructure projects while also working alongside the economic-development community trying to attract investment to Wyoming.
Wyoming has emerged as an increasingly attractive destination for hyperscale data centers. It has abundant energy resources, available land, a long history as an energy-producing state, and communities looking for ways to diversify their tax bases. But the boom is also generating many of the same concerns appearing around the country: electricity demand, water consumption, noise, environmental impact, public subsidies, infrastructure costs and whether data centers create enough permanent jobs to justify their enormous footprint.
Dawson argues that the answer isn't simply to say yes or no to data centers. The real question is whether communities can structure projects so residents are genuinely better off after they arrive.
The conversation explores:
Why Wyoming has become attractive to data center developers—and why energy availability may now be one of the biggest constraints on AI infrastructure.
How Wyoming is trying to protect residential ratepayers, including Black Hills Energy's large-load tariff requiring major industrial customers to pay for the infrastructure needed to serve them.
Why water remains one of the biggest concerns Dawson hears at community meetings, and how newer cooling technologies are changing the debate.
The economics of data centers: massive construction activity, relatively smaller permanent workforces, property and electricity tax revenue, and the opportunity to diversify Wyoming's economy.
The growing demand for electricians, welders, HVAC technicians, plumbers and other skilled trades—and why data center investment could help build a workforce that benefits Wyoming well beyond AI.
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• Why AI assistants are rapidly changing consumer discovery • The difference between being mentioned, ranked, and cited in an AI answer • New metrics such as mention rate, citation rate, and citation share • Why enterprises should start by measuring how AI currently represents their brands • The growing importance of AEO and GEO • Why fragmented enterprise context is such a major AI problem • How brands can influence AI answers without simply flooding the web with “AI slop” • Why verified content and traceability could become essential to maintaining trust • The widening gap between frontier AI development and enterprise adoption • Why human judgment, taste, and governance still matter • What happens when AI systems move from answering questions to proactively recommending products • And the increasingly blurry line between an advertisement and an AI-generated product recommendation
The conversation comes at an important moment for Saroop and Senso. Zeta Global recently announced an agreement to acquire Senso, bringing its AI discovery and verified-content capabilities into a much larger marketing technology ecosystem.
If AI assistants and agents increasingly become the front door through which consumers discover brands, products, services, and information, the implications are enormous.
The next marketing battleground may not be the search results page.
They also discuss AthenaOS, Zeta’s vision for an intelligence layer spanning enterprise data and AI; why proprietary context may become some of a company’s most important intellectual property; the importance of both data sovereignty and AI sovereignty; and how agencies, technology companies, and brands may divide responsibilities in this new operating model.
And, naturally, they finish with the big question: Is AI going to kill us all—or unlock an extraordinary new period of human progress?
This is the third Signal & Noise conversation with a Zeta Global executive, following our discussions with Christian Monberg, Chief Technology Officer, at Cannes Lions, and Neej Gore, Chief Data Officer, at POSSIBLE. A huge thank-you to the Zeta team for welcoming Signal & Noise to Zeta Live and providing an incredible setup for the conversation.
For anyone thinking about the future of marketing, AI, customer intelligence, MarTech, AdTech, agencies, or the modern enterprise, this is one you won’t want to miss.
The resurgence of tag management in an agentic world
Why context may matter more than perfect one-to-one personalization
Identity resolution and the changing economics of third-party identity
“Perishable moments” and the need for real-time customer decisioning
How AI could break down data and organizational silos
The rise of disposable, use-case-specific applications
Whether the predicted “SaaSpocalypse” is actually happening
How AI is changing consulting, systems integration, and enterprise technology buying
Why the companies that win with AI will combine strong data foundations with people who know how to turn technology into business outcomes
For anyone working in MarTech, AdTech, customer data, enterprise AI, cloud data platforms, advertising, or digital transformation, this is an outstanding conversation about where the enterprise tech stack is headed.
A huge thank-you to Tealium, one of the sponsors that helped make our Advertising Week possible and an ongoing sponsor of Signal & Noise.
And a special thanks to MCM Creative Studios for hosting Signal & Noise LIVE during Advertising Week 2026.
Hosted by: Rio Longacre & Brett House Guests: Zack Wenthe, Tealium | Adrian Bolosan, Databricks Recorded live: Advertising Week 2026 | New York City
A huge thank you to MCM Creative Studios for giving us an incredible home for the evening, and especially to MediaRadar, the main sponsor of our Advertising Week activation, for helping make this special live event possible. This was also a milestone for Signal & Noise: our first episode recorded in front of a live studio audience.
If you work in advertising, media, marketing, AI, data, or creative, this is one you’ll want to hear.
• Making transformation practical: Why the starting point may be as simple as getting a brand’s creative assets consistent, proving value, and building momentum from there.
• Rethinking the value exchange: When to challenge an RFP, why trust matters, and how outcome-based pricing can work when costs, incentives, and shared goals are realistically aligned.
Adam brings a product and technology perspective to building connected capabilities. Amy grounds the discussion in the realities of leading teams, educating clients, and turning those capabilities into work that makes a difference.
Together, they make the case for an agency relationship built around informed decisions, shared accountability, and measurable value. AI expands what is possible; the harder work is deciding what to build, how to deploy it, and which problems are worth solving.
Watch or listen, then tell us: What should the agency of the future be accountable for—and how should clients pay for it?
Subscribe to Signal & Noise on YouTube or follow on Spotify for more conversations about data, technology, AI, and the people shaping advertising.
• The value of showing up: Why live events, comedy, music, and shared experiences can build relationships that go deeper than likes and shares.
• Leading creative teams: Making room for experimentation, exposing junior talent to new environments, and knowing when to defend an idea or let go of your ego.
Along the way, the discussion moves from comedy clubs and concert crowds to the New York City subway, exploring how curiosity and everyday observation feed creative thinking.
Brandon’s approach to AI is practical: use it to get better at your job while protecting the judgment that makes your work distinctive. For marketers, creators, agency leaders, and anyone building a creative team, this conversation offers a grounded look at what that means in practice.
Watch or listen, then tell us: Where is AI making your creative work better, and which decisions do you still keep firmly in human hands?
Subscribe to Signal & Noise on YouTube or follow on Spotify for more conversations about data, technology, AI, and the people shaping advertising.
• Why DSP auto-optimization can send campaigns toward terrible inventory • The difference between attribution and incrementality • Why CTV supply-path verification should be much easier than it often is • How fraudsters benefit from the industry’s obsession with identifiers • Why contextual intelligence becomes more valuable as open-web behavior changes • Whether AI agents and MCP interfaces will weaken DSPs—or actually make them stronger • Why buyer judgment still matters in an increasingly automated media ecosystem • Eric’s skepticism toward probabilistic ID bridging • And how a 4:30 a.m. training schedule and Brazilian jiu-jitsu fit the mindset of an AdTech operator
This is AdTech school for anyone who wants to understand what actually happens between an advertiser’s strategy and the impression that eventually gets bought.
If you work in programmatic, media, CTV, contextual advertising, measurement or AdTech, this one goes deep.
Subscribe to Signal & Noise for more conversations with the people building—and challenging—the future of advertising, data, media and AI.
Finally, the conversation turns to agentic trading, CTV, and the future of advertising infrastructure. Mathieu believes agentic buying could compress parts of today’s programmatic supply chain—but rather than making identity less important, increasingly granular and automated buying may make a trusted identity layer even more essential.
If LiveRamp can no longer be Switzerland, the next Switzerland may not be a single company at all. It may be a modular network of specialists—and the race to build it has already begun.
Nuclear power, natural gas, carbon sequestration, wind and the enormous energy buildout required to support the next generation of computing.
Community benefit agreements, tax incentives and what developers should owe the communities hosting these projects.
Why opposition to data centers cuts across political lines—and why early, transparent community engagement may matter as much as the underlying technology.
Ultimately, Dawson offers a straightforward test for whether Wyoming's data center boom succeeds: not how many facilities get built or how many gigawatts come online, but whether the projects leave local communities financially stronger, with better infrastructure and greater economic capacity without creating unsustainable demands on residents or resources.
It's a conversation about AI—but also about energy, economics, infrastructure, public trust and the increasingly difficult question of who should bear the costs of building the physical backbone of the digital economy.
Subscribe to Signal & Noise for more conversations at the intersection of media, data, technology and AI.
