Épisodes

  • Brent Keltner, Authentic Buyer Journeys and the "Guide by the Side" - Innovabuzz 702
    Mar 25 2026
    Our guest in this episode is Brent Keltner, Founder and President of Winalytics, a go-to-market consultancy helping B2B revenue teams build authentic buyer journeys. Brent, a former qualitative researcher and revenue leader, brings a unique “low ego learner” mindset to the world of sales and marketing. We explore the shift from being a “sage on the stage” to a “guide by the side,” the importance of the buying committee over the individual persona, and how to use AI as a teammate to compress days of research into minutes of hyper-personalized outreach without losing the human touch.Key points discussed include:* The “Rugby Metaphor” for go-to-market teams: success comes from team orchestration and multi-phase play, not individual heroics.* Narrow your focus to broaden your appeal: why specificity in your Ideal Customer Profile (ICP) actually deepens market connection.* AI as a “BBB+” teammate: using agents for orchestration and research while keeping a human in the loop to elevate the final output to an “A.”Listen to the podcast to find out more.Show Notes from this episode with Brent Keltner, WinalyticsIt was a real pleasure to host Brent Keltner on the Innova.buzz podcast. Brent is someone who clearly doesn’t do things by halves; his kids even say he’s “allergic to half-assed.” That intensity, combined with his background as a qualitative researcher, makes him the perfect guide for navigating the complex world of B2B sales. We sat down to unpack how to move away from “bludgeoning” buyers and instead focus on building buying readiness through authentic, journey-first conversations.Brent kicked things off with a brilliant metaphor from his favorite sport: rugby. Unlike many American sports, rugby is about the flow of the whole team moving in unison through multiple phases. He sees a great go-to-market team the same way: Sales Development Representatives (SDR), sales, marketing, and customer success all working from the same buyer-centric playbook. It’s not about the individual function; it’s about the journey. When that alignment happens, you can feel the “flow” where everyone is focused on helping the buyer win quicker.The Buying Committee: Moving Beyond the Single PersonaWe had a great exchange about the limitations of traditional buyer persona documents. Brent pointed out that while personas matter, accounts buy, individuals do not. In a typical B2B deal, there are six to ten people involved. If your marketing is only speaking to one person, you’re leaving your champion high and dry. We discussed the need for “actionable” enablement documents; a simple front-and-back sheet that an SDR can actually use to connect with an economic buyer or a technical lead, rather than a 50-page slide deck that sits in a drawer.The rest of these show notes continue for paid subscribers, where we unpack the deeper ideas Brent surfaces beneath the surface of his revenue model: how the “rugby metaphor” transforms a fragmented sales team into a single, fluid organism, what it actually takes to arm an SDR with actionable intelligence rather than a static persona document, and why “closing the deal” is rarely the seller’s job to be done. We also dig further into the AI orchestration math, the intent data gap in the modern buyer journey, and what it takes to use AI as a “BBB+” teammate without losing the human heart of the message.If you’re drawn to practical conversations about AI that stay grounded in real-world outcomes, plus the human psychology behind the “low ego learner” and the “guide by the side,” I’d love you to join the inner circle. It’s where we explore the unpolished insights that rarely make it into the public version, the moments that sharpen judgment and keep us honest about what AI can, and cannot, do for our relationships.Maybe they’ll keep your curiosity alive too.Narrow Your Focus to Broaden Your AppealI’ve always found it a bit of a paradox that being more specific helps you reach more people, and Brent nailed it with his phrase: “Narrow your focus to broaden your appeal.” We talked about the fear many entrepreneurs have of “locking out” potential customers by being too niche. Brent’s advice is grounded: focus your proactive targeting and social proof where you have critical mass. If someone outside that niche finds you, you can still choose to work with them, but your message will land much harder when it speaks directly to a specific industry’s problems and uses their language.The “Guide by the Side” vs. The “Sage on the Stage”One of the most profound shifts we discussed was the change in the seller’s role. Brent shared a teaching analogy: the old model was the “sage on the stage” lecturing, while the new model is the “guide by the side.” In a world where 70-80% of the buyer journey is digital and self-educated, sellers don’t close deals; buyers do. Our job is to be the guide, asking the ...
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    49 min
  • Anya Cheng, High-Tech Logic and the Art of Personal Expression - Innova.buzz 701
    Mar 12 2026
    Our guest in this episode is Anya Cheng, Founder and CEO of Taelor, a pioneering menswear subscription service that leverages artificial intelligence to help high-impact individuals move toward their goals with confidence. Before building her own zero-to-one startup, Anya led digital innovation and e-commerce for global giants like Meta, eBay, and Target. She is also an adjunct lecturer at Northwestern University, bringing the logic of data together with the art of personal expression. We explore the intersection of high-level technology and human confidence, the startling environmental impact of unsold fashion inventory, and how AI can act as a sophisticated co-pilot for human stylists to ensure busy professionals always look the part.Key points discussed include:* The “circular” business model of Taelor helps reduce the 30 billion dollars of fashion inventory that goes from factory to landfill annually.* AI serves as a co-pilot for human stylists, managing vast data points on fit, occasion, and quality that are impossible for a human to track alone.* Dressing for the role you want is a psychological tool to combat imposter syndrome and build immediate credibility.Listen to the podcast to find out more.Show Notes from this episode with Anya Cheng, TaelorIt was a real privilege to welcome Anya Cheng to the Innova.buzz podcast. Anya joins us from the San Francisco Bay Area with a background that reads like a roadmap of Silicon Valley success, yet her focus remains firmly on the human element of confidence. Our conversation delved into how she transitioned from managing massive corporate systems at Meta and eBay to creating a personalized AI service that removes the friction of “looking the part” for busy professionals.Anya shared a startling statistic that set the stage for our talk: in the US alone, 30 billion dollars of menswear goes directly from factories to landfills every year. This unsold inventory creates a massive environmental footprint, contributing to 10% of global emissions and 20% of polluted water. Taelor addresses this by creating a rental and subscription model that acts as an outlet for brands and a sustainable choice for consumers. It is a clever intersection of commerce and conservation that allows high-quality garments to live multiple lives rather than ending up as waste.The rest of these show notes continue for paid subscribers, where we unpack the deeper ideas Anya surfaces beneath the surface of her business model: how Taelor’s AI and human stylists operate as a co-pilot loop, what the rental data reveals about true garment quality over time, and why “looking good” is rarely the real job to be done. We also dig further into the sustainability math, the feedback gap in the fashion supply chain, and what it takes to use AI without drifting into confident, wrong answers.If you’re drawn to practical conversations about AI that stay grounded in real-world outcomes, plus the human psychology behind confidence and credibility, I’d love you to join the inner circle. It’s where we explore the unpolished insights that rarely make it into the public version, the moments that sharpen judgment and keep us honest about what AI can, and cannot, do for us.Maybe they’ll keep your curiosity alive too.The Psychology of the “Lucky Shirt” and Professional CredibilityWe discussed the concept of “enclothed cognition”—the idea that what we wear directly impacts how we feel and perform. Anya spoke candidly about her own experience as an immigrant from Taiwan and a female leader in tech, where she used clothing as a tool to navigate imposter syndrome. Whether it is a lawyer fighting for a case or a sales professional heading to a conference, the right outfit serves as a conversation opener and a source of internal strength. Anya’s vision is to help people be successful without the mental load of worrying about their appearance, allowing them to focus entirely on their mission.AI as the Ultimate Stylist’s Co-pilotOne of the most fascinating parts of Taelor’s model is the relationship between the AI and the human stylists. Anya describes it as a flywheel: the human stylists train the AI, and the AI acts as a “guardrail” for the stylists, remembering every specific customer preference, from sleeve length to a dislike of the color green. With 150 brands and 30,000 garments in their system, it would be impossible for a human to curate the perfect selection for every scenario—like a job interview or a TED talk—without the data-crunching power of AI. This partnership ensures that the human element remains in control while the technology handles the complexity.Closing the Feedback Loop in FashionAnya highlighted a major flaw in the traditional fashion supply chain: the lack of feedback. Designers often have no idea why a garment didn’t sell—was the sleeve an inch too long, or the shoulder too tight? Because Taelor is a rental service, they collect real-world data...
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    53 min
  • Robert Lee Camp, Cards of Destiny, Astrology, and AI as an Assistant, Not an Oracle, Innova.buzz 700
    Mar 4 2026
    Our guest in this episode is Robert Lee Camp, master of the Cards of Destiny system, software developer, and long time student of astrology. Robert has spent 35 years helping people explore what he describes as a mathematical blueprint reflected in a standard deck of playing cards, and how it connects with astrological influences. We talk about where meaning in the card deck comes from, why “newspaper horoscopes” fail, how he blends card work with astrology for more practical and psychological insight, and where AI fits, both as a coding assistant and as a possible future interface for his style of readings.Key points discussed include:* The playing card deck as a mathematical structure, including claimed correspondences like 52 weeks and 365 total pip values.* The Cards of Destiny concept that month and day of birth map to a “life card”, with multiple birthdays sharing the same card, and why that does not mean identical lives.* A clear critique of generic horoscope columns, they are too broad to be meaningful, and often function as entertainment rather than disciplined interpretation.* AI as a useful helper for code and research, plus a sober warning about errors and confident wrong answers, and why human judgment stays central.Listen to the podcast to find out more.Show Notes from this episode with Robert Lee Camp, Cards of Your DestinyThis conversation with Robert Lee Camp goes to a place we do not visit every week on Innova.buzz, the intersection of esoteric systems, pattern interpretation, and modern tools. Robert is candid about his own pathway, he started with astrology, then encountered an old book, Sacred Symbols of the Ancients (1940s), that connected playing cards with symbolic meaning. That discovery, and the accuracy he felt it had for him, pushed him into decades of study and teaching.He frames the “regular” 52 card deck as more than a game tool, a structure with mathematical features that appear to mirror calendar cycles. From there, he introduces the core idea many listeners will want to test immediately: your month and day of birth maps to a specific card, and there are multiple birthdays that can share the same card. He is careful, though. Same card does not mean same life, or the same outcomes. He describes each card as having a range, a higher and lower expression, plus many variations in between.The deck, the symbols, and what gets lost over timeA strong thread early in our exchange is simple curiosity about origins. Where did this standard deck come from, and why did it settle into this configuration of suits, courts, and numbers. Robert’s view is that much of the original symbolic meaning has been lost, even to modern manufacturers. He offers one concrete example most people recognise visually: the Ace of Spades often being larger and more ornate than the other aces. Manufacturers may say “that’s just how it’s always done,” while Robert argues there is a symbolic reason inside the tradition.We also touch on the fact that not all cultures use the same deck format. That matters, because Robert’s system is tied specifically to the 52 card structure and its internal relationships. Variations, even familiar ones used in certain European games, do not preserve the same correspondences.The rest of these show notes continue for paid subscribers, where we unpack the deeper ideas Robert surfaces beneath the surface of his stories: why the tabloid version of astrology fails, how he blends cards with planetary spreads for psychological insight, and what it really looks like to use AI as a high-speed assistant without losing your human judgment.If you’re drawn to thoughtful conversations about patterns, systems, and the parts of our journey we can’t fully automate, I’d love you to join the inner circle. It’s where we explore the unpolished insights that rarely make it into polished episodes, the moments that sharpen our curiosity and keep us honest as creators.Maybe they’ll keep your curiosity alive too.Blending cards with astrology, and why the tabloid version does not workRobert has an interesting position. He is blunt about generic horoscope columns, in his view, they cannot be valid because they apply to far too many people across a broad birth window. He calls that content made up, and he is not shy about it.At the same time, he speaks from the perspective of someone who has done many readings and has deep respect for more rigorous traditions, including Vedic and Chinese astrology. He describes these as detailed and practical in a way that surprises people who only know the “I’m a monkey” or “you’ll meet a stranger today” versions.Where Robert places his own emphasis is more psychological. Instead of trying to play carnival fortune teller, he aims to help people understand inner patterns, issues under the surface, and the kinds of tensions that can be worked with, so life becomes less reactive and more intentional.The spreads and planetary ...
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    48 min
  • Jacqueline Basulto, Balancing High-Tech Growth with Human-Centric Connection - Innova.buzz 699
    Feb 25 2026
    Our guest in this episode is Jacqueline Basulto, Founder and CEO of SeedX, a global digital consulting and marketing firm. A Forbes 30 Under 30 honoree, Jacqueline turned a $200 investment into over a billion dollars of tangible client impact. She specializes in empowering organizations to find the balance between high-tech growth and human-centric connections. We explore building culture across a distributed global team, the responsible use of AI as a tool (not a crutch), and why accepting help, both at work and at home, is a leadership skill, not a weakness.Key points discussed include:* Build a distributed team culture by hiring in regional clusters, encouraging paid trial projects, and investing in in-person meetups.* Use AI as a thinking partner: brainstorm, check your work, and challenge your ideas, but never just copy-paste the output.* Accepting help and delegating is not a sign of weakness; it creates room for others to grow and for you to lead.Listen to the podcast to find out more.Show Notes from this episode with Jacqueline Basulto, SeedXIt was a genuine pleasure to welcome Jacqueline Basulto, Founder and CEO of SeedX, to the Innova.buzz podcast. Jacqueline brings a rare combination of scrappy entrepreneurial grit and deeply considered human values. Our conversation ranged from the nuts and bolts of building a 70-person distributed team across multiple continents, to the philosophical question of how AI reshapes (or doesn’t) the fundamentals of human connection.Jacqueline opened by sharing what drives her: a desire for direct, tangible impact. Early in her career, she found herself in a role where she couldn’t see the effect of her work on people, and that disconnect pushed her toward marketing and entrepreneurship. Today, that drive extends beyond clients to her own team. She wants the people at SeedX to thrive, to be happy, to grow. It’s a holistic view that many founders talk about but few genuinely embody.From $200 and a Dream: Building a Global Team Out of NecessityJacqueline started SeedX at 22 with literally $200, probably negative money once you factor in student loans. She needed talent she couldn’t afford locally, so she looked globally. Her third hire, Vlad, was a UI designer from Ukraine, and he’s still on the team years later, now a close friend. What began as a financial necessity evolved into a genuine philosophy: talented, great people exist everywhere. Before COVID made remote work fashionable, SeedX was already operating across continents, turning time zones from a logistical headache into a competitive advantage. When one team logs off, they prepare a handoff for the next time zone. Clients have noticed, particularly those expanding internationally, that someone is always awake and ready to respond.Culture Without a Headquarters: Hiring, Trust, and In-Person ConnectionI was curious how Jacqueline builds culture when team members may never share a physical office. Her approach is layered. Many hires come through referrals from trusted team members. Beyond that, SeedX uses paid trial projects, a common practice in the remote world, where candidates work on a small engagement before either side commits. It gives both parties a genuine sense of work style, communication, and expectations. Jacqueline also emphasized the need for self-motivated, independent people; in a remote environment, nobody is looking over your shoulder, and that has to be a feature, not a bug.That feeling of watching someone build a global team from $200 and a Ukrainian designer named Vlad, and then figuring out how to keep the human thread alive across four continents, is also the exact starting point for the rest of our fascinating conversation, and for the deeper work I’m exploring.This podcast is the beginning of the conversation, but the personal reflections, the “why” behind what was said, are where the real journey begins.If you’d like to read the rest of this post, where Jacqueline shares her hard-won lessons on delegation, the real cost of mistakes (and why they’re worth paying for), and her refreshingly grounded take on AI as “just human behaviour in a new form,” I’d love to invite you to become a paid subscriber.A subscription unlocks these full, detailed show notes, but more importantly, it welcomes you into a quieter space. It’s where I share my private reflections on these conversations about AI, the “behind-the-lens” stories from my photography, and the personal meditations that connect them all. It’s a place for the curious, and I’d be honoured to share it with you.On the in-person side, SeedX now hires in regional clusters, Argentina, Spain, Kenya, so that local teams can meet up regularly. The entire team gathered once in Barcelona during Jacqueline’s wedding week, which says something about the closeness of the group. The early employees, who shared that scrappy “building something together” feeling, are now the leaders carrying that culture ...
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    55 min
  • Victoria Mensch, From Burnout to Sustainable Leadership in the Age of AI - Innova.Buzz 698
    Feb 18 2026
    Our guest in this episode is Victoria Mensch, founder of the Silicon Valley Executive Academy, based in Hayward, California. With 25+ years in the high-tech industry and a background bridging clinical psychology with strategic leadership, Victoria helps leaders move from burnout and cognitive freeze into sustainable, human-centred performance in the age of AI. We explore why automating the wrong things creates more burnout, not less; how organisations can use AI as a transformative enabler rather than a cost-cutting patch; and why curiosity is the single most important skill to develop right now.Key points discussed include:* Automating creative tasks while leaving humans with unfulfilling work accelerates burnout rather than reducing it.* AI strategy should start with value, not cost: ask what makes things better, not just faster or cheaper.* Curiosity, human judgment, and contextual thinking are the skills that machines cannot replicate.Listen to the podcast to find out more.Innovabiz Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Show Notes from this episode with Victoria Mensch, Silicon Valley Executive AcademyIt was a genuine pleasure to welcome Victoria Mensch to the Innova.Buzz podcast. Victoria brings a rare combination: deep clinical psychology training layered over decades of Silicon Valley strategy work. The result is a perspective on AI that is neither breathlessly optimistic nor paralysed by fear. It is grounded, practical, and, frankly, a little overdue in the broader conversation.Victoria opened with a framing that I found immediately compelling: the idea that we are not passive passengers watching AI carry us somewhere. We are, or should be, active decision-makers shaping the direction. She draws a clear distinction between using AI as a patch, faster, cheaper, more volume, and using it as a genuine transformative enabler. The first approach is tempting. The second is where the real opportunity lives.The Burnout Paradox: When Automation Makes Things WorseHere is the uncomfortable truth Victoria surfaces early in our conversation. Many organisations are automating the creative and cognitively engaging tasks, the ones people actually find meaningful, while leaving humans to handle the distribution, the admin, the repetitive bottlenecks. The result is not relief. It is deeper burnout. People feel like machines precisely because they are now doing the machine work.Victoria’s point is sharp: before you automate anything, ask whether you are automating the right things. Are you removing the bottlenecks that drain people, or are you removing the work that gives them a reason to show up? The IKEA example she shares is instructive. When they analysed their customer service queries, they discovered a large proportion were really interior design questions. Rather than automating those away, they redeployed those staff into a premium design service. That is the difference between cost-cutting and value creation.The rest of these show notes continue for paid subscribers, where we go deeper into Victoria’s three-layer AI strategy framework, the case for keeping human judgment firmly at the steering wheel, and why curiosity, not technical skill, is the most important thing to develop right now.If you are navigating AI in your business or your leadership role and you want a psychologically grounded, practically useful perspective, I would love you to join the inner circle. It is where we explore the ideas that go beyond the hype and into the real decisions that shape how we work and lead.Maybe they will sharpen your thinking too.The Three Layers of AI StrategyVictoria describes a layered approach to AI decision-making that I found genuinely useful. At the individual level, the question is: what do I want more of, and what do I want less of? Not just in work, but in life. AI should free up capacity for the things that matter, not simply compress the same workload into fewer hours.At the team and business unit level, the question shifts to value creation for the customer. What are the real bottlenecks? What processes are we running that perhaps should not exist at all? And at the organisational level, the strategic question is about transformation: can we reconstruct our offering entirely, serve customers differently, remove low-value products and add high-value services? These are not efficiency questions. They are identity questions.Human Judgment at the Steering WheelOne of the most resonant moments in our conversation was Victoria’s insistence that, for the foreseeable future, humans must remain at the steering wheel. Not as a passive safety check, but as an active, courageous exercise of judgment. She makes the point that human judgment is not just about reviewing AI outputs for errors. It is about the willingness to go against the data, to trust intuition, to take a direction that the analysis does not fully ...
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    44 min
  • Ashley Faus, Lived Experience: The Ultimate AI Differentiator - Innova.Buzz 697
    Feb 11 2026
    Our guest in this episode is Ashley Faus, a marketer, writer, and speaker who specializes in Human-Centered Marketing. Ashley is passionate about helping brands connect problems with solutions through authentic, lived experiences. Ashley joined me to discuss why human imperfection is becoming a premium asset and how we can navigate the skill gaps created by AI.Key points discussed include:* The critical need to preserve “101 level” learning opportunities for junior marketers to ensure future mastery.* Why “lived experience” and context allow humans to out-perform AI in nuanced tasks like planning and connecting.* How “imperfection,” like the “Gen Z shake” or a bakery box, builds more trust than AI-generated perfection.Listen to the podcast to find out more.Innovabiz Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Show Notes from this episode with Ashley FausIt was a genuine privilege to welcome Ashley Faus to the Innovabuzz podcast for a conversation that felt less like an interview and more like a masterclass in human connection. Ashley, a marketer, writer, and speaker, joined us to unpack the concept of Human-Centered Marketing. We dove straight into the deep end, exploring a question that has been on my mind lately: what happens to trust and judgment when AI can generate almost anything on demand? Ashley’s take is refreshing. She believes that while AI is a powerful tool, it lacks “lived experience,” and that is where our true value as humans lies.We started by discussing a potential crisis in skill development. Ashley framed this brilliantly using a university analogy. She explained that she got to where she is today - solving complex “801 level” problems - by spending years slogging through the “101 and 201 level” work. Her concern is that if we enthusiastically hand off all that junior-level work to AI, we deny the next generation the opportunity to learn through doing. It is a powerful reminder that the “grunt work” is often the training ground for mastery. If we outsource the learning process, we risk creating a future workforce that lacks the critical thinking skills to spot when the AI is hallucinating.The Party Planning Test: Why Context is KingI loved Ashley’s practical examples of where AI falls short. She shared a hilarious story about using AI to plan a party. It calculated she needed 200 beers for 50 people, completely ignoring the wine and the non-drinkers! A human host knows intuitively that cold weather affects beer consumption or that half their friends prefer wine. AI doesn’t have that context. It can crunch numbers, but it can’t “read the room” before the party has even started.This lack of nuance extends to our personal lives too. Ashley noted that asking AI to plan a date night is futile because it doesn’t know you had Thai food for lunch or that you have leftover spaghetti in the fridge. Humans thrive on these subtle, unspoken details. We build relationships by sharing these small, messy, lived experiences. When we try to strip that away for the sake of efficiency, we lose the very thing that makes connection meaningful.The rest of these show notes continue for paid subscribers, where we dive into the specific human skills, like contextual curiosity and critical vetting, that Ashley believes are the only true antidote to the “efficiency trap.”If you’re looking for a thoughtful, human-centered take on how we build the next generation of leaders in an automated world, I’d love you to join the inner circle. It’s where we explore the unpolished insights that keep our human edge sharp.Maybe they’ll sharpen yours too.The Uncanny Valley and the “Gen Z Shake”One of the most fascinating parts of our chat was about the “uncanny valley,” that unsettling feeling when something is too perfect. We talked about how polished content, like a perfectly lit video or a flawless photo of a playground with no children, can feel eerie. Ashley pointed out the rise of the “Gen Z shake,” where creators intentionally leave in the fumble of setting up the camera. That lack of polish signals: “I am a real person, not a bot.”It turns out we are naturally skeptical of perfection. Ashley shared a story about her baking. She noticed that when she brought homemade cupcakes in a flimsy cardboard bakery box, people assumed they were store-bought and raved about them. When she brought them in a sturdy plastic tupperware, the reaction was muted. Even more telling, people on LinkedIn trusted a “good enough” photo of the cupcakes more than a technically perfect one. The perfect photo felt fake, even though it was, indeed, real. The imperfect one felt real. In a world of AI-generated flawlessness, our human imperfections are becoming our premium asset.Trust, Logic, and AuthenticityWe wrapped up by looking at the “Trust Triangle” of Logic, Authenticity, and ...
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    1 h et 5 min
  • Jen Moss, Authentic Conversations and Storytelling in the Age of AI - Innova.buzz 696
    Feb 4 2026
    Our guest in this episode is Jen Moss, Co-founder and Chief Creative Officer of JAR Audio, a premier branded podcast agency. With a rich background in public broadcasting at the CBC and creative writing, Jen helps brands like Amazon and Lululemon move beyond surface-level noise to facilitate deep, nuanced conversations that earn genuine trust. We explore the critical distinction between using AI for efficiency versus connection, the power of acknowledging the “elephant in the room” to build credibility, and why the messy human process of creation is more valuable than a perfect, generated result.Key points discussed include:* Brands have an obligation to “show their strings” and engage deeply in social discourse to earn trust.* Draw a hard line with AI: use it for efficiency tasks, but never for the work of human connection.* Combat the “empty mall” of the internet by producing less content of higher quality and specificity.Listen to the podcast to find out more.Innovabiz Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Show Notes from this episode with Jen Moss, JAR AudioIt was an absolute pleasure to welcome Jen Moss, Co-founder and Chief Creative Officer of JAR Audio, to the Innova.Buzz podcast. Jen brings a fascinating blend of deep journalistic integrity from her CBC days and a sharp eye for brand storytelling. Our conversation felt like a masterclass in stripping away the superficial to get to the “nitty gritty” of what makes communication actually land: nuance, patience, and a willingness to “show your strings.”Jen started us off with a refreshing take on the role of brands today. We moved past the idea of companies just selling widgets; Jen argues that brands, as powerful entities using resources and employing thousands, actually have an obligation to wade into social discourse. It’s not just about winning hearts and minds; it’s about earning them. She posits that the more a brand can drop the facade and engage with society on a human level, the more likely we are to trust them. It’s a move from transactional to relational, facilitated by the patience and depth that only a podcast can really provide.The “Elephant in the Room” Strategy: Building Trust by Owning the MessI loved Jen’s practical example regarding a mining company client. We discussed the inherent “trust problem” in that industry, given that mining is dirty and people are skeptical. Instead of shying away or painting a rosy, green-washed picture, Jen advised them to lean right into the discomfort. They produced a series explicitly tackling the trust deficit before talking about their innovations in electrification. Jen’s point was clear: you cannot underestimate the intelligence of your audience. If you don’t acknowledge the elephant in the room, the skepticism and the past mistakes, people will just tune you out. But by honoring that hesitation, you earn the right to share the rest of your story.The rest of these show notes continue for paid subscribers, where we unpack the deeper ideas Jen surfaces beneath the surface of her stories: how specificity becomes universality, why process matters more than polish, and what it really takes to keep human connection alive in a world drifting toward the “empty mall” of AI‑generated content.If you’re drawn to thoughtful conversations about storytelling, craft, and the parts of creativity we can’t outsource, I’d love you to join the inner circle. It’s where we explore the unpolished insights that rarely make it into polished episodes, the moments that sharpen our curiosity and keep us honest as creators.Maybe they’ll keep your curiosity alive too.Local Stories with Global EchoesDrawing on her background teaching creative writing, Jen shared a beautiful insight about the power of specificity. We often think we need to go broad to reach everyone, but Jen flipped that on its head. She believes a hyper-local story, like a mother in East Vancouver dealing with postpartum depression, resonates with a mother in Tanzania because the feeling is universal. Whether it’s a community bank or a global tech giant, the lesson is the same: the more specific and honest the story, the more global its impact. It’s about resonances that “translate out,” bridging gaps between vastly different lives.The AI Line in the Sand: Efficiency vs. ConnectionNaturally, we ventured into the “wild west” of AI. Jen’s agency draws a hard, fascinating line: use AI for efficiency, never for connection. She compared using AI for creative connection to taking an elevator to the top of a building instead of the stairs. You get there faster, but your legs don’t get any stronger. If the goal is to deepen a relationship or facilitate a nuanced conversation, AI acts as a distancing mechanism, creating a “palpable uncanny valley.” Jen was adamant: we can use the tools to tighten edits...
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    1 h
  • Zohar Bronfman, Merging Neuroscience and Predictive AI to Anticipate Future Customer Behavior - Innova.Buzz 695
    Dec 17 2025
    Our guest in this episode is Zohar Bronfman, the co-founder and CEO of Pecan AI, who holds dual PhDs in computational neuroscience and philosophy. Zohar is on a mission to democratize predictive power, helping organizations anticipate the future by blending rigorous logic with deep philosophical insight. Zohar and I explore the fascinating distinction between generative and predictive AI, revealing how businesses can use their own data to foresee customer behavior.Key points discussed include:* Layering historical data with context like weather builds precise “onions” of predictive insight for your business.* While AI processes data, humans must remain behind the wheel to provide the essential creative spark.* Treat AI implementation as a rigorous project with clear goals, rather than a quick technological fix.Listen to the podcast to find out more.Innovabiz Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Show Notes from this episode with Zohar Bronfman, Pecan AIThe Predictive Power of Data: Merging Neuroscience with AI for Better BusinessIt was an absolute privilege to welcome Dr. Zohar Bronfman to the InnovaBuzz podcast. Zohar isn’t your typical tech founder. With dual PhDs in computational neuroscience and philosophy, he brings a depth of thinking that goes far beyond code and algorithms. We explored how the rigorous logic of science blends with the practical needs of business, and I was struck by his unique perspective on how we can use data to act with genuine foresight.Zohar started by taking a step back to clarify what we actually mean when we talk about AI. He explained that while we are all excited about Generative AI, which is essentially a machine trained to predict “tokens” like words or pixels to create content, there is another branch that is vital for business: Predictive AI. This isn’t about writing a poem; it is about predicting future events based on historical data. It allows a business not just to guess revenue for the next month, but to know with high accuracy what specific customers might do next week.The Onion Metaphor: How to Build a PredictionI loved the imagery Zohar used to explain how these models work. He described building a prediction like peeling, or rather, building, an onion. At the core, you have your historical transaction data, which is essential. But to get a truly sharp picture of the future, you have to add layers. You layer on your marketing activity, then your promotions, and perhaps even external factors like holidays or the weather.The rest of these show notes continue for paid subscribers — where we dive into the specific human skills, like curiosity and artistic bravery, that Mark believes are the antidote to this dread.If you’re looking for a thoughtful, human-centered take on the AI revolution, I’d love you to join the inner circle. It’s where we explore the unpolished insights that keep our curiosity alive.Maybe they’ll feed yours too.Zohar pointed out that weather, for instance, has a massive influence on how we humans behave, often more than we realize. By feeding these rich, multi-layered datasets into the model, the AI can find hidden statistical signals that a human mind simply couldn’t process alone. The more layers you add to your onion, the higher the fidelity of the prediction, allowing you to anticipate the needs of your market with incredible precision.The Predictability of Being HumanOne of the most fascinating parts of our chat was Zohar’s take on human nature. We like to think of ourselves as free spirits, but Zohar argues that human behavior is actually extremely predictable. Drawing on his neuroscience background, he mentioned research showing that brain scans can sometimes predict a person’s decision before they are even consciously aware of it themselves.For businesses, this is a powerful concept. It means there are patterns in your customer data that tell a story about what is coming next. It is not about manipulating people; it is about understanding them better than they might understand themselves in that moment. By leveraging these patterns, businesses can improve customer experiences and operational efficiency, ensuring they are ready to meet demand exactly when it happens.No Silver Bullets: The Reality of ImplementationZohar was refreshingly honest about the hard work required to make this happen. He warned against the trap of treating AI implementation as a “double-click effort.” It might look easy in a polished demo, but in the real world, it is a project that requires process, maintenance, and change management.He advises leaders not to adopt AI just because the board demands it or because it sounds cool. You need to be very specific about the problem you are solving. If you don’t have a clear goal and a willingness to nurture the system, you end up with a fancy tool that doesn’t move the needle. There is no ...
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    56 min