Signal & Noise

Signal and Noise
  • 5.0 (2)
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  • Updated Monthly

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.

  1. 1d ago

    Marketing Without Walls: Ana Mourão on AI, First-Party Data, and Why MarTech & Advertising Are Finally Converging

    Marketing has spent decades building walls. Brand versus performance. Advertising versus MarTech. Agencies versus in-house teams. IT versus marketing. Customer experience versus media. What if those walls are finally coming down? In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Ana Mourão, a globally recognized marketing technology leader, author, and thought leader, to explore why the future of marketing belongs to leaders who can bridge strategy, technology, data, and AI. Drawing on years of experience leading marketing transformations inside some of the world’s largest global brands, Ana explains why marketing is evolving from campaign execution into system design. Instead of simply launching promotions, tomorrow’s marketers will architect interconnected systems that continuously learn, adapt, and improve through experimentation, AI, and customer data.  The conversation dives deep into one of the biggest shifts happening across the industry: the convergence of MarTech and AdTech. Historically, these functions have operated independently, often using different data, different technologies, and different success metrics. But as 1PD becomes more valuable and AI begins driving decisions, those boundaries are disappearing.  Ana shares why marketers—not IT—must become the architects of modern marketing systems, while also learning to collaborate effectively with finance, legal, privacy, engineering, and tech teams. She argues tomorrow’s marketing leaders won’t simply create campaigns—they’ll translate across disciplines and become the connective tissue that enables organizations to move faster and make better decisions.  The discussion also explores: Why first-party and zero-party data have become strategic business assetsHow customer data can dramatically improve paid media performance and budget efficiencyWhy experimentation—not perfection—is becoming marketing’s competitive advantageWhy marketers need stronger financial and technical literacy to earn influence in the C-suiteHow AI is changing the skills marketers need to remain indispensableWhy today’s MarTech stacks have become overly complex—and what happens nextThe evolution of Customer Data Platforms (CDPs), data clouds, and composable architecturesWhy context may become the most valuable ingredient in AI-driven marketing decisioningHow governance, privacy, and trust must evolve alongside AI adoption  Ana also introduces the framework from her book, Strategic Marketing Skills That Make You Indispensable in the AI Era, offering practical guidance for marketers who want to thrive in a world where AI handles more execution and humans increasingly create strategy, context, experimentation, and organizational alignment.  This conversation is particularly valuable for marketing leaders, advertising professionals, media executives, consultants, data strategists, and anyone trying to understand where AI is taking modern marketing organizations. Because the future won’t belong to marketers who know the most tools. It will belong to marketers who know how to connect people, systems, data, and AI into one intelligent operating model. Ana Mourão is a global marketing technology leader, author, speaker, and creator focused on helping marketers develop the strategic, technical, and organizational skills needed to succeed in the AI era. Her work centers on marketing systems, experimentation, first-party data strategy, AI, and the intersection of technology and business transformation.  Signal & Noise is a podcast exploring the ideas, technologies, and leaders shaping the future of AI, marketing, advertising, media, and business. #AI #ArtificialIntelligence #Marketing #MarTech #AdTech #FirstPartyData #CustomerData #MarketingTechnology #Advertising #DigitalMarketing #MarketingLeadership #DataStrategy #CustomerExperience #Experimentation #AgenticAI #CDP #DataCloud #MarketingTransformation #SignalAndNoisePodcast About Ana MourãoAbout Signal & Noise

    Marketing Without Walls: Ana Mourão on AI, First-Party Data, and Why MarTech & Advertising Are Finally Converging

  2. 5d ago

    Beyond Attribution: Joanna Drews on Measurement Truth and the Future of Advertising Effectiveness

    Advertising has never had more data—or less certainty. Marketers today have access to billions of signals, AI-powered dashboards, clean rooms, attribution models, marketing mix models (MMM), and platform reporting. Yet despite this explosion of data, one fundamental question has become harder to answer: What actually worked? In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Joanna Drews, Co-Founder and CEO of HyphaMetrics, for a thought-provoking conversation about the future of advertising measurement and why the industry may have been chasing the wrong kind of precision all along. The discussion explores the growing gap between deterministic attribution and the messy reality of modern consumer behavior, where audiences move fluidly across linear TV, connected TV (CTV), streaming, mobile, gaming, social media, and user-generated content.  Joanna explains why simply collecting more data doesn’t necessarily produce better answers—and why representative panels, AI, and person-level exposure measurement may offer a stronger foundation than ever-growing datasets alone. She challenges long-held assumptions about attribution, incrementality, and causality while arguing that the industry’s biggest problem isn’t a lack of information—it’s a lack of trustworthy, independent measurement.  The conversation also explores the industry’s shift toward hybrid measurement models as traditional TV ratings evolve into Big Data + Panel approaches, the rise of alternative measurement providers, and why the future may not belong to a single “currency” at all. Instead, marketers may increasingly rely on multiple trusted sources that work together to create a clearer picture of advertising effectiveness.  Along the way, Brett, Rio, and Joanna tackle some of the industry’s biggest questions: • Why traditional attribution models are breaking down• The resurgence of Marketing Mix Modeling (MMM) and what it still misses• How AI is changing media planning, optimization, and measurement• Why connected TV has created both unprecedented opportunity and unprecedented fragmentation• The future of cross-platform measurement across TV, streaming, gaming, and digital media• Why trust—not scale—may become the industry’s most valuable measurement asset• Whether marketers should stop chasing certainty and start embracing probabilistic decision-making Joanna also shares why HyphaMetrics is not as another measurement currency, but as a foundational data layer designed to help publishers, agencies, platforms, and brands make smarter decisions in an increasingly automated advertising ecosystem.  Whether you’re a CMO, media executive, data scientist, advertiser, agency leader, or simply fascinated by where AI is taking marketing, this episode offers an insightful look at one of the industry’s most important and least understood challenges. Because in the age of autonomous marketing, better AI doesn’t start with better algorithms. It starts with better measurement. About Joanna Drews Joanna Drews is the Co-Founder and CEO of HyphaMetrics, a next-generation media measurement company focused on person-level, cross-platform audience measurement across linear television, streaming, connected TV, gaming, mobile devices, and digital media. She has spent her career helping shape the future of advertising measurement and is at the center of many of today’s most important conversations around media effectiveness and analytics.  About Signal & Noise Signal & Noise is a podcast exploring the ideas, technologies, and leaders transforming marketing, advertising, AI, media, and business. Hosted by Brett House and Rio Longacre, each episode features candid conversations with innovators shaping what’s next. #Advertising #Marketing #MediaMeasurement #MarketingMeasurement #Attribution #MMM #MarketingMixModeling #CTV #Streaming #AI #ArtificialIntelligence #AdTech #MarTech #Media #Data #Analytics #HyphaMetrics #SignalAndNoise #Leadership #DigitalMarketing

    Beyond Attribution: Joanna Drews on Measurement Truth and the Future of Advertising Effectiveness

  3. Aug 3

    From AppLovin to CRAFTSMAN+: Alex Merutka on Building the Future of Mobile Advertising

    Mobile advertising has quietly become the largest laboratory for innovation in digital marketing. From privacy changes and AI-powered creative to playable ads and performance optimization, many of the industry’s biggest breakthroughs have happened on mobile first. Few people have had a closer view of that transformation than Alex Merutka. In this episode of Signal & Noise, hosts Rio Longacre and Brett House sit down with Alex Merutka, Founder and CEO of CRAFTSMAN+, to explore the evolution of mobile advertising, the future of creative intelligence, and why the next competitive advantage in performance marketing won’t come from better targeting—but from better creative.  Before founding CRAFTSMAN+, Alex spent more than half a decade helping build AppLovin from one of AdTech’s early startups into one of the industry’s most influential companies. As one of its earliest employees, he helped scale its performance advertising business, led programmatic initiatives during a period of explosive growth, and witnessed firsthand what it takes to build a category-defining tech company.  Then came a decision that surprised many across the industry. Leaving just prior to AppLovin’s successful IPO, Alex walked away from what has been widely reported as a nearly $10 million bonus to launch CRAFTSMAN+, betting that the future of advertising wouldn’t be defined by targeting algorithms alone—but by creative excellence powered by AI and technology.  In this conversation, Alex shares lessons from hypergrowth, entrepreneurship, and building companies through periods of massive industry change. Together they discuss: What it was really like helping build AppLovin from the insideThe biggest misconceptions about AppLovin Why Alex chose to leave at the height of his career to become a founderThe entrepreneurial risks behind launching CRAFTSMAN+Why creative—not targeting—is becoming the biggest performance lever in advertisingHow Apple’s App Tracking Transparency (ATT) permanently changed mobile advertisingWhy mobile continues to be the innovation engine for digital marketingHow AI is transforming creative production and campaign developmentThe rise of playable ads and interactive creative experiencesWhat the world’s largest advertisers still get wrong about creative performanceFounder-led marketing and why audiences increasingly trust people over brandsBuilding in public through LinkedIn and thought leadershipThe future of app monetization and performance advertisingWhere Alex believes mobile advertising and creative technology are headedAs audience targeting becomes standardized and privacy regulations reshape the ecosystem, creative is emerging as the primary differentiator. Success will belong to organizations capable of producing, testing, learning, and iterating creative at unprecedented speed—and AI is accelerating that shift. Alex also shares what he learned from one of AdTech’s most remarkable growth stories, the challenges of leaving a successful company to build something, and why founder conviction often matters more than timing. Whether you’re a marketer, founder, product leader, creative strategist, or simply fascinated by how AI is reshaping digital advertising, this episode offers an inside look at where the industry is headed. Alex Merutka is Founder and CEO of CRAFTSMAN+, a creative technology company helping brands build high-performing mobile advertising through AI-powered creative workflows, playable ads, and performance-driven creative production. Prior to founding CRAFTSMAN+, Alex spent half a decade at AppLovin, where he helped build one of the most successful businesses in advertising technology during the company’s rapid growth.  Subscribe on YouTube, Spotify, and Apple Podcasts, or visit www.signalandnoise.ai for original articles, executive insights, and conversations at the intersection of technology, AI, and the future of business.

    From AppLovin to CRAFTSMAN+: Alex Merutka on Building the Future of Mobile Advertising

  4. Jul 31

    Marketing Without Marketers? Julius Körfgen on Autonomous AI, Growth, and the End of the Marketing Stack

    What happens when AI stops assisting marketers—and starts becoming the marketing team? In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Julius Körfgen, Co-Founder & CEO of Uplane, to explore one of the biggest questions facing the marketing industry: if AI can plan campaigns, generate creative, optimize budgets, launch ads, analyze performance, and continuously improve results, what role is left for human marketers? Julius isn’t simply predicting the future—he’s building it. After growing up in Germany, launching his first online business as a teenager, and leading growth at one of Europe’s fastest-growing climate technology companies, Julius relocated to Silicon Valley, joined Y Combinator, and founded Uplane. Within months, the company surpassed $1M ARR, raised a $4.5 million seed round, and began helping enterprise brands rethink how modern marketing should operate. Rather than creating another AI point solution, Uplane is building an AI-native marketing platform that combines strategy, creative production, media buying, optimization, testing, and performance analysis into a continuous learning system. Instead of speeding up individual tasks, Uplane seeks to automate entire marketing workflows—compressing campaign cycles from months to hours while dramatically reducing wasted advertising spend. During the conversation, Julius explains why he believes today’s marketing stack is fundamentally broken, why most AI tools fail because they automate isolated tasks instead of end-to-end workflows, and why both agencies and in-house marketing teams will need to reinvent themselves over the coming years. • Why nearly half of digital advertising spend is still wasted• Building an AI-native company from the ground up• Why autonomous AI agents may replace much of today’s marketing operations• The future of media buying, creative optimization, and campaign management• How AI can improve brand governance and regulatory compliance• Why point solutions aren’t enough—and what comes next• How marketing organizations and agencies will evolve in an AI-first world• Why storytelling, brand strategy, and human creativity become even more valuable as operations become autonomous Whether you’re a CMO, agency executive, founder, marketer, or AI builder, this episode offers an inside look at how autonomous AI is beginning to reshape the entire marketing ecosystem. Julius Körfgen is the Co-Founder & CEO of Uplane, an AI-native marketing technology company building autonomous systems for campaign planning, creative generation, media buying, optimization, and performance management. Before founding Uplane, Julius led growth initiatives at one of Europe’s fastest-growing climate technology companies before moving to the United States to participate in Y Combinator, where he launched Uplane and rapidly scaled the business. Signal & Noise is a podcast exploring the technologies, companies, and ideas transforming marketing, advertising, AI, media, and the future of business. Hosted by Brett House and Rio Longacre, each episode features conversations with founders, executives, investors, and industry leaders building what’s next—and separating real innovation from the hype. #SignalAndNoise #ArtificialIntelligence #AI #Marketing #MarketingAI #MarTech #AdTech #GenerativeAI #AgenticAI #MarketingAutomation #PerformanceMarketing #DigitalMarketing #MediaBuying #GrowthMarketing #Startup #YC #YCombinator #Founders #CMO #FutureOfMarketing #EnterpriseAI #BusinessTransformation #Automation #Innovation #TechPodcast

    Marketing Without Marketers? Julius Körfgen on Autonomous AI, Growth, and the End of the Marketing Stack

  5. Jul 29

    Dan Pratl: A World Where Your Expertise & Judgement is an Asset You Control

    Artificial intelligence is changing how work gets done. But what if the real disruption isn’t AI itself? What if the most valuable asset in the future economy isn’t code, content, or even data—but your judgment? In this episode of Signal & Noise, Executive Voice Krish Raja sits down with Dan Pratl, CEO of Quadron, for one of the most philosophical and forward-looking conversations we’ve had on the show. Drawing on his unique background in securities regulation, open-source software, cryptocurrency, and AI infrastructure, Dan argues that we’re entering a new economic era where expertise itself becomes an asset that individuals can own, develop, verify, and monetize.  The conversation begins by examining three major technology movements—financial regulation, open source, and crypto—and why each ultimately drifted away from its original mission. Dan explains how incentives, not technology, determine whether systems succeed over time, and why AI gives us a rare opportunity to redesign those incentive structures from the ground up.  At the center of Quadron’s vision is a provocative idea: Your expertise shouldn’t disappear every time you change jobs. Instead, your accumulated judgment, decision-making patterns, and unique way of solving problems could become a persistent asset that grows more valuable throughout your career. Krish and Dan explore what this means—not only for professionals, but for organizations, education, and the broader economy. Together they discuss: Why expertise—not information—is becoming the world’s scarcest resourceHow AI is shifting value away from artifacts and toward human judgmentWhy today’s intellectual property systems may no longer fit the AI eraThe difference between generating content and capturing expertiseWhy friction—not automation—is often essential for developing real skillHow AI should interview us rather than simply execute promptsWhy “vibe coding” and prompt engineering still depend on human philosophy and judgmentThe future of personal AI systems that continuously learn how you thinkWhy organizations struggle to retain institutional knowledge when employees leaveThe concept of expertise as a transferable, verifiable economic assetHow future professionals may monetize judgment instead of hours workedWhy verification may become more important than surveillance inside enterprisesToken economics, programmable incentives, and what crypto got right—and wrongThe future of consulting, knowledge work, and personal intellectual capitalWhy storytelling may become one of the most valuable business skills in the AI eraWhether AI will replace knowledge workers—or simply amplify the best onesThe future of frontier AI models, edge computing, and enterprise AI infrastructureWhy curiosity, cross-disciplinary thinking, and diverse experiences may become the ultimate competitive advantageOne of the most compelling ideas throughout the discussion is that AI should not remove humans from the loop—it should help us better understand ourselves. Rather than reducing work to faster outputs, Dan believes AI can help people document their thinking, preserve their expertise, tell their own story more effectively, and ultimately build careers around what makes them uniquely valuable. It’s an ambitious vision—one that challenges many assumptions about employment, intellectual property, personal branding, and the economics of the AI era. If you’ve been wondering what comes after today’s wave of copilots and chatbots, this conversation offers a fascinating glimpse into what knowledge work may look like. About Dan Pratl Dan Pratl is the CEO of Quadron, where he is building infrastructure designed to treat human expertise as an asset that can be captured, verified, and deployed across the AI economy. Prior to founding Quadron, Dan worked across securities regulation, open-source technology, cryptocurrency, and enterprise software, giving him a uniquely interdisciplinary perspective on the future of work.

    Dan Pratl: A World Where Your Expertise & Judgement is an Asset You Control

  6. Jul 27

    Machines of Loving Grace? Kyle Csik on AI, Human Judgment, and the Future of Work

    What happens when artificial intelligence stops being just another productivity tool—and starts changing how we think about work, creativity, organizations, and even what it means to be human? In this thought-provoking episode of Signal & Noise, hosts Rio Longacre and Brett House sit down with entrepreneur and AI infrastructure founder Kyle Csik, Founder & CEO of Adaly AI, for a wide-ranging conversation that stretches from enterprise AI architecture to philosophy, economics, education, and the future of civilization.  Kyle’s career has always sat at the intersection of technology, entrepreneurship, and systems thinking. After founding his first company at just 18 years old, he went on to build a career across programmatic advertising, retail media, and enterprise technology before launching Adaly AI, a company rethinking how organizations connect and reason across their data without relying on traditional data warehouses. But this conversation goes far beyond software. Inspired by Rio’s essay Machines of Loving Grace?—itself influenced by Anthropic CEO Dario Amodei’s optimistic vision for AI and E.M. Forster’s prophetic 1909 short story The Machine Stops—the discussion explores one of the biggest questions facing society: Is artificial intelligence simply another technology cycle… or is it fundamentally changing what it means to be human? Kyle argues that today’s large language models are incredibly powerful prediction engines—but they are not conscious, autonomous beings. Instead, their greatest value comes from augmenting human judgment, eliminating repetitive work, and freeing people to focus on creativity, relationships, and higher-order thinking. Along the way, the conversation dives into: Why today’s AI models are extraordinary prediction systems—but not artificial general intelligenceWhether humans are simply sophisticated prediction machines ourselvesHow every major technology—from writing to the internet—changed the skills humans needed to surviveWhy AI should augment human judgment rather than replace itThe surprising productivity gains Kyle has achieved by building personal AI agents into his everyday lifeWhy freeing people from administrative work could lead to stronger families, better education, and more creativityThe future of enterprise AI and why today’s data infrastructure is holding organizations backWhy Kyle believes traditional data warehouses represent an outdated computing model dating back to the 1960sHow federated AI architectures could fundamentally change how businesses access knowledgeWhy context—not simply bigger models—is becoming AI’s greatest competitive advantageHow AI could flatten organizational hierarchies while making companies dramatically more customer-centricThe evolution of SaaS, enterprise software, and agentic workflowsWhy CIOs remain frustrated despite massive enterprise AI investmentsThe growing disconnect between AI hype and practical implementation inside large organizationsThe risks of token-based AI pricing and enterprise vendor lock-inOpen-source AI versus frontier models—and why many Fortune 500 companies are choosing differently than expectedAI’s impact on education, scientific discovery, and innovationData centers, energy infrastructure, nuclear power, and the coming compute economySpace-based computing, Dyson spheres, and what it might take for civilization to become truly AI-poweredThe balance between government regulation, private innovation, and maintaining competitive marketsWhy the biggest challenge may not be artificial intelligence—but ensuring humans continue to develop wisdom, curiosity, and judgmentIt’s an expansive conversation that blends practical enterprise strategy with philosophy, economics, and the long-term future of technology—exactly the kind of discussion that sits at the heart of Signal & Noise. Connect with Kyle Csik LinkedIn: https://www.linkedin.com/in/kylecsik/Adaly AI: https://adaly.ai/

    Machines of Loving Grace? Kyle Csik on AI, Human Judgment, and the Future of Work

  7. Jul 24

    Life Beyond Gaming: Phylicia Koh on How Play Became the Operating System for Consumer Apps

    Gaming has grown far beyond entertainment. It is now one of the world’s largest industries—and one of technology’s most influential laboratories for understanding engagement, retention, monetization, community, and consumer behavior. In this episode of Signal & Noise, Brett House and Rio Longacre sit down with Phylicia Koh, General Partner at Play Ventures, a global venture capital firm investing in gaming, consumer applications, and the technologies powering both. Phylicia joined Play Ventures as its first employee after nearly a decade working across marketing, growth, product, and startup operations. Today, she invests in game studios, technology companies, and a growing category that Play Ventures calls “playable apps”: consumer applications that incorporate the operating principles and engagement models perfected by the gaming industry. The central idea behind the conversation is simple: gaming is no longer becoming mainstream. It already is mainstream. Instead, everything else is becoming more like gaming. From Duolingo and Robinhood to Discord, fitness platforms, productivity tools, and short-form microdramas, consumer apps increasingly rely on mechanics developed or refined by game companies. Streaks, rewards, progression systems, virtual goods, social communities, live events, and freemium monetization have become foundational elements of the modern digital experience. The conversation also explores how Apple’s App Tracking Transparency framework forced mobile publishers to rethink their approach to growth. As deterministic user-level measurement became more difficult, leading publishers dramatically increased creative production and testing—sometimes producing thousands of advertising assets for a single title each month. Generative AI is now making that speed, volume, and personalization possible across a much broader range of industries. The discussion then turns to agentic advertising and what the emerging ecosystem may still be missing. While much of the industry is focused on buyer agents and seller agents, Phylicia argues that the greatest opportunity could be a third participant: an agent representing the consumer. A true consumer agent could understand an individual’s preferences, manage permissions, determine when advertising is welcome, filter irrelevant brands, transact on the consumer’s behalf, and protect that person’s interests across digital environments. In Phylicia’s view, the company that successfully builds a trusted and widely accessible consumer-agent layer could become one of the next trillion-dollar businesses. Along the way, they discuss: Why gaming remains misunderstood despite its enormous economic and cultural influencePhylicia’s path from growth marketing to becoming Play Ventures’ first employee and a General PartnerWhat separates a genuinely playable application from superficial gamificationHow progression, social interaction, virtual economies, and live operations drive retentionWhy microdramas are a powerful example of gaming principles entering entertainmentHow game companies measure cohorts, monetization, retention, and return on ad spendWhy leading publishers produce thousands of new advertising creatives every monthHow AI is reshaping creative production, localization, personalization, and live operationsWhat buyer, seller, and consumer agents could mean for the future of advertisingWhy women’s health remains one of the world’s largest underserved investment opportunities This is a wide-ranging conversation about gaming, venture capital, consumer behavior, advertising, and AI. More than anything, it makes the case that if you want to understand where consumer technology is heading, you should pay much closer attention to what the gaming industry has already built. Learn more about Phylicia Koh:https://www.linkedin.com/in/phyliciakoh/ Learn more about Play Ventures:https://www.play.vc/ Visit Signal & Noise:https://www.signalandnoise.ai/

    Life Beyond Gaming: Phylicia Koh on How Play Became the Operating System for Consumer Apps

  8. Jul 22

    Alanna Laforet: Developing a Hacker Mentality to Take Control of Your Career Journey

    What if the best way to future-proof your career isn't learning another AI tool—but learning to think like a hacker? In this episode of Signal & Noise, Executive Voice Krish Raja sits down with Alanna Laforet—technology executive, former Chief Revenue Officer, startup operator, blockchain pioneer, and advisor—to explore what it really takes to reinvent yourself in an era where AI is transforming every industry. Alanna's career has never followed a traditional path. From starting as a Unix systems administrator and QA engineer at DoubleClick to helping shape advertising standards at the IAB Tech Lab, leading blockchain ventures, launching crypto media companies, advising AI startups, and building a portfolio career across multiple industries, she's consistently embraced curiosity over comfort. Together, Krish and Alanna unpack why the people who thrive in the AI era won't necessarily be those with the best technical skills—but those willing to continually learn, experiment, and reinvent themselves. They discuss: Why adopting a "hacker mentality" creates career resilienceHow curiosity—not job titles—has guided Alanna's professional journeyThe hidden lessons learned from startup failures, crypto winters, and industry disruptionWhy AI makes understanding technology more important, not lessHow to overcome fear and imposter syndrome when changing careersWhy treating yourself as your own company changes how you think about workThe rise of portfolio careers, fractional leadership, and multiple revenue streamsBuilding a personal thesis that guides career decisionsWhy networking, community, and simply "leaving your house" may be the most underrated career advice todayPractical advice for professionals navigating layoffs, AI disruption, and career transitionsThis isn't just a conversation about AI. It's a conversation about ownership, adaptability, and designing a career that's resilient no matter how technology changes. If you're wondering how to stay relevant in the age of AI—or considering your own next chapter—this episode offers a thoughtful roadmap from someone who's reinvented herself time and time again.  Guest: Alanna LaforetTechnology Executive | Startup Advisor | Fractional Executive | Blockchain & AI Strategist Hosted by: Krish RajaExecutive Voice, Signal & Noise Subscribe to Signal & Noise for conversations with the executives, founders, researchers, and innovators shaping the future of AI, advertising, marketing, media, and technology. #AI #Careers #Leadership #FutureOfWork #CareerGrowth #ArtificialIntelligence #AdTech #MarTech #FractionalLeadership #Entrepreneurship #Blockchain #Innovation #SignalAndNoise #KrishRaja #AlannaLaforet

    Alanna Laforet: Developing a Hacker Mentality to Take Control of Your Career Journey
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Ratings & Reviews

5
out of 5
2 Ratings

About

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.

Information

  • Creator
    Signal and Noise
  • Years Active
    2025 - 2026
  • Episodes
    66
  • Rating
    Explicit
  • Copyright
    © Signal and Noise
  • Show Website
    Signal & Noise

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