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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with David Cash, founder of CASH Labs, to explore the rapid evolution of Web3, NFTs, the metaverse, and emerging technology. David shares how the pandemic led him from entertainment and media into the world of NFTs, where his viral master’s thesis became the foundation for a career helping brands understand and apply emerging technologies. He discusses how Web3 has evolved beyond the hype into practical applications such as digital product passports, blockchain-based certificates of authenticity, and tokenized real-world assets. David also reflects on curating the first Metaverse Fashion Week and working with global brands to create meaningful digital experiences. Looking ahead, he explains how his work sits at the intersection of culture and technology, helping organizations turn complex innovations like AI, AR, VR, XR, and Web3 into tangible experiences and strategies for a rapidly changing digital world. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Max Anderson, owner and CEO of OnlyFinder, to pull back the curtain on the surprisingly sophisticated data and search infrastructure powering creator discovery in one of the internet's fastest-growing economies. Max opens with an origin story rooted in SEO mastery — years of spending venture capital money at Porch figuring out what works, followed by a portfolio of ranked sites, a webcam affiliate payment that mysteriously 10X'd during the pandemic, and a pivot into OnlyFans discovery when the search volume made the opportunity undeniable. He explains the structural gap his platform fills: OnlyFans has never had a search box or explore page, so 400 million fans have nowhere to go but Google to find new creators among five million options. OnlyFinder built the discovery layer that platform deliberately left open. The technical work behind that is considerable — assembling creator indexes from public like counts, image tagging for physical attributes, cross-referencing link bio trees to external social media profiles, tracking follower counts across TikTok and Instagram as proxies for popularity, and then training a click-through rate model on half a billion visits across hundreds of partner sites to learn which creators users actually click for which keywords. He closes with a candid assessment of where the business sits in the AI search era: the shopping-intent queries that drive his model are staying on Google even as LLMs take informational queries, but vibe coding tools have exploded the competition from a handful of rivals to thousands of new entrants per month — pushing him to focus hard on the scale economies and network effects that cannot be replicated in a weekend. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Vikul Gupta, CTO of Quality AI, to explore how AI is transforming quality engineering and why trust will be critical to moving AI from pilot projects into production. Vikul shares his journey from DevOps and engineering into AI-powered quality, explaining how AI can prevent defects, identify root causes, and uncover test coverage gaps through real customer journeys and production data. He also discusses the rise of AI-generated code, the growing need for AI assurance, and why quality engineering is evolving into a continuous discipline focused on monitoring hallucinations, bias, model drift, and performance. As AI accelerates software development, Vikul argues that quality will become the critical “trust gate” helping enterprises deploy AI with greater confidence. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jesse Tayler, the Silicon Valley pioneer who invented the world's first App Store and personally demoed it to Steve Jobs in 1993, to explore why the man who helped build the modern internet is now dedicating the final chapter of his career to fighting the dangers it created. Jesse opens with the remarkable story of that 1993 demo — a Hail Mary at a San Francisco software trade show, a cold approach to Jobs in a crowded booth, and an unglamorous but consequential nod of approval that validated an idea the world wasn't ready for. He is candid that it was largely a failure story at the time, with sales that were "crappy" and a developer friend who told him directly that trying to sell nothing would never work. What the App Wrapper ultimately proved, years before iTunes made it mainstream, was the concept of digital rights — establishing who has the right to do what in a purely digital transaction. Now, decades later, Jesse sees the same unresolved problem in a far more dangerous form. As civilization has moved online, it has gained extraordinary connectivity and lost one irreplaceable thing: trust. Fake profiles, AI-generated identities, and coercive data collection have eroded the foundation that makes civilization possible. His answer is TruAnon — a digital identity system built on the principle that true anonymity is just privacy turned all the way up, and that surrendering a photo of your driver's license to every platform you use is not verification, it is the exact data fraudsters steal and replicate infinitely in the digital universe. The App Store got rid of the physical box. TruAnon, he argues, needs to get rid of the physical ID — and replace it with a purely digital rights framework that protects people and platforms alike without forcing anyone to surrender their privacy just to participate in modern life. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Daniel Ishag, Chief Commercial Officer at Bakkt, to explore why the financial infrastructure the world runs on was never designed for the speed, availability, or autonomy that the agentic AI era demands — and what it takes to build the layer that bridges the two. Daniel opens with a career defined by solving old problems through new frameworks: founding Europe's first performance-based ad network and merging it for $183 million, building water technology for underserved utility markets, and moving into digital assets out of fascination with what programmable money could unlock. He explains what Bakkt actually does in concrete terms — owning the licenses, rails, and infrastructure to move stablecoin-denominated value globally, twenty-four hours a day, in minutes rather than days. The use cases he walks through are grounding: a US textile manufacturer paying Vietnamese suppliers instantly and earning four to five percent discounts for speed, a commodities trader cutting days off a vessel's turnaround by eliminating weekend payment delays, a shipping company solving demurrage and bunkering costs through near-instant settlement. The conversation then turns to the bigger structural shift: as AI agents proliferate and begin executing financial transactions autonomously, legacy banking systems built for human-initiated, business-hours-only, correspondent-bank-dependent transfers simply cannot keep up. Bakkt, through its acquisition of DTR, positions itself as the orchestration layer between traditional finance and the agentic economy — not competing with banks, but sitting between them and the new infrastructure the moment requires. Daniel closes with intellectual honesty about the future: he does not know where this goes in ten years, but he is certain that know-your-agent frameworks will need to exist before autonomous spending at scale can be trusted, and that regulations will eventually catch up — because they always do, once someone finds a way to abuse what is new. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, Brian Thomas sits down with Mike Lucas, co-founder of North Performance, to explore the growing world of performance longevity. Mike shares how decades of surfing, snowboarding, injuries, and recovery led him to build a science-backed wellness brand designed to help active people perform at their best for longer. He discusses simplifying daily supplementation, combining clinical expertise with elite athlete insights, and how wearables, diagnostics, and personalized nutrition could shape the future of recovery and healthy aging. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mike Link, Chief Operating Officer at KamiVision, to explore how computer vision and AI are quietly transforming the way seniors are protected — not just in care facilities, but at home. Mike opens with a career path that wound through real estate, preventative health work in India, and go-to-market consulting before landing at KamiVision, where a personal connection to aging and loss made the mission feel like more than a business opportunity. He breaks down what makes Kami Care's fall detection different from the rest of the market: a three-layer system that combines edge-based AI detection, cloud filtering, and human verification using blurred, encrypted footage — achieving 99.5% accuracy while protecting the dignity and privacy of the people it monitors. The human-in-the-loop step is not just about catching false positives, it feeds a continuous training loop that makes the AI progressively more accurate over time. The more interesting conversation, though, is what happens before a fall. Mike explains how pre-fall clips, behavioral patterns, time-of-day data, and gait analysis give caregivers and families early warning signals — the kind that make it possible to intervene with a step stool, a schedule change, or physical therapy before a hip fracture ends someone's independence. He closes with a candid look at where senior care technology is heading: toward a world where visual sensors, wearables, vitals, and health records combine into a continuous real-time picture that functions like a remote doctor making daily inferences — and a frank acknowledgment that the biggest obstacle to that future is not the technology, but the privacy and security frameworks that will need to earn people's trust before they let it into their homes. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jason Hishmeh, co-founder of Variance and Aequit, to explore what it actually looks like to deploy AI inside a business responsibly — with security and compliance built in from the start rather than added as an afterthought. Jason opens with an origin story that begins in a corporate accounting department where nobody had a computer, and traces twenty-five years of compounding curiosity through ERP systems, infrastructure, application development, cybersecurity, and eventually AI entrepreneurship. The through line is simple: raise your hand for the interesting problem, figure it out, and make sure the business value is real. He then breaks down why AIOps embeds agents inside tools companies already use rather than asking them to adopt another platform — because application fatigue is real, eighty-eight percent of companies use AI regularly but only about six percent get measurable results, and the fastest path to ROI is automating the repetitive, boring work people already do inside the systems they already know. He addresses the security blind spots directly: employees are giving autonomous AI agents access to production systems without guardrails, sometimes without their employers even knowing it, through shadow IT and browser plugins that leverage the employee's own privileged access. His prescription is to onboard AI agents the way you onboard people — define what licenses, permissions, and access they need, log everything, and make sure a human is always accountable for what the agent does. He closes with a five-year vision where AI is no longer a tool you open and prompt, but something woven into every layer of how a business understands itself, plans, and serves customers — and warns that the companies jumping on every new AI subscription without a strategy will fall behind the ones going deep with a focused set of tools and building real integration from the ground up. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Luis Derechin, founder and CEO of Nir-Yu and author of The Offshore Team Death Trap, to break down why international hiring fails so consistently — and what it actually takes to get it right. Luis opens with the origin story: a young entrepreneur who raised venture capital for Mexico's first US-funded tech startup, quickly realized American salaries would burn through the runway, and turned to a blended US-Latin America team that cut costs by seventy to eighty percent without sacrificing quality. That necessity became a fourteen-year competitive advantage and, after the company's acquisition, a consulting practice where CEOs kept calling with the same problem — their offshore teams weren't working. What Luis found through those engagements became the seven offshore team death traps: talent mirage, cultural chasm, hidden cost spike, management quicksand, retention revolving door, communication fog, and quality erosion — patterns that explain why only one in four offshore hiring efforts actually succeeds. The antidote is his Remote Intelligence Framework, a six-part acronym that covers rigorous talent selection, expert onboarding and integration, managed support services, optimized team performance, transparent cost-plus pricing, and enhanced scalability — the playbook behind his ninety-five percent success rate and average two-year client retention. He closes with a counterintuitive take on AI's impact: far from making remote teams obsolete, AI is raising the bar on the quality of talent companies need, which means the best candidates are increasingly distributed around the world — in Argentina, Uganda, Israel — and the companies willing to fish outside their local pond will be the ones that win. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Vanessa Slowey, President and CEO of TelyRx, to explore what happens when a lifetime of lessons about access, infrastructure, and trust finally converge in one mission. Vanessa opens with a story that begins above a small-town pharmacy in Sligo, Ireland, where her father's philosophy was simple: if someone needs medication, you figure out how to get it to them. That instinct followed her through a career building mobile networks across some of the world's most challenging terrain — Papua New Guinea, the Caribbean, 27 markets across Latin America — before bringing her back to healthcare and TelyRx. She draws a sharp contrast between the two industries: in telecoms, the barrier to access was physical and required building infrastructure from scratch; in US healthcare, the infrastructure already exists, but patients still face enormous friction navigating providers, prescriptions, pharmacies, insurance, and delivery. The barrier is friction, not geography, and the solution is the same: build the infrastructure so the patient does not have to connect all the pieces themselves. She is candid about where TelyRx deliberately limits its scope — non-controlled, FDA-approved, everyday medications like inhalers — because clinical integrity and convenience are not in tension when the model is designed correctly, and trust is built by knowing exactly what the platform is and is not for. She closes with a vision of digital health where technology works invisibly in the background and patients experience something deceptively simple: they needed care, they could access it, they understood what it would cost, and they got their medication. That is the standard. And with roughly seventy percent of TelyRx patients returning, she argues the market is already voting for it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Justin and Travis Maderia, fourth-generation lobstermen and co-founders of Lobster Boys, for a conversation about resilience, integrity, and what it actually takes to fight a broken food system from the bottom up. Justin opens with a story that is equal parts loss and determination — watching his family's fishery collapse over 25 years due to poor regulation, pesticide use, and unsustainable practices, then rebuilding by fishing the waters of Grand Manan, Canada, where better regulations produced visibly better lobster. What started as bringing premium hard-shell lobsters across the border to their existing customer base grew fast — fast enough that they became one of the largest buyers in Canada in just three years, which put them squarely in the crosshairs of the powerful wholesale networks they now call the mafia. Travis picks up the thread, describing the pressure campaign that followed: their boat burned at the dock, banks squeezed, and ultimately a forced bankruptcy right before the start of a season. They fought through it, and what emerged on the other side was a direct-to-consumer model built on something the industry rarely offers — full traceability. Justin explains how Lobster Boys grades each fisherman's catch separately, tracks every lobster from hauling to delivery, and gives individual grade reports back to the fishermen, so the person catching the best quality product is actually compensated accordingly. Travis closes with the bigger picture: a food system that has drifted dangerously far from the farm-to-plate principles that kept Americans healthy, and a call to get back to buying directly from farmers and fishermen before corporate middlemen and compromised supply chains do any more damage. Lobster Boys is starting with lobster — but the mission is much larger than that. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Tatiana Aleksandrova, co-founder and CEO of Subsense, to explore one of the most ambitious bets in deep tech — a non-surgical brain-computer interface that could eventually allow humans to communicate directly with AI, each other, and the digital world using nothing but thought. Tatiana opens by explaining why she founded her second BCI company: her first taught her that fully non-invasive approaches lack the signal precision needed for truly transformative applications, while surgical implants will never scale to healthy everyday users. The answer, she and her team concluded after a year of challenging scientists from chemistry, physics, and engineering to prove them wrong, was nanoparticles delivered intranasally through the olfactory nerve — precise enough to read and stimulate the brain, but requiring no surgery and no permanent hardware. Critically, the system only activates when the user wears the external device, meaning consent is built into the design: take off the hat, and the interface is off. Tatiana is direct about the ethical stakes — access to your brain belongs only to you, not to Subsense, not to employers, not to advertisers, not to the military — and argues that consent in BCI cannot be a one-time signature but must be continuous and revocable. She closes with a vision of three horizons: first, navigating the digital world by thought rather than keyboard or voice; then, seamless integration with AI so that any question is answered instantly without a prompt; and finally, human-to-human communication that transmits not just words but emotions and sensations — a world where knowledge becomes a commodity and empathy becomes transmittable. Her condition for that future to be one people actually want is unchanged: safety first, data protected, and the ability to turn it off whenever you choose. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jerry Zhang, co-founder of Lemma, to explore one of the most underappreciated problems in enterprise AI deployment — agents that appear to work but silently degrade the moment they hit real-world production. Jerry opens with the founding story: two college friends who met as freshmen at USC's startup incubator, went off separately to build AI agents at companies on opposite ends of the industry — healthcare and chip design — and came back together after realizing they had been solving the exact same frustrating problem. The pain point that crystallized Lemma came from co-founder Cole's internship experience: spending an entire summer manually throwing prompts into Claude over and over again until an eval set passed, a process so repetitive it begged to be automated. That frustration became the first internal prototype of Lemma, built inside the company where Cole was interning. Jerry then describes the critical lesson from their earliest customers: engineers do not care about finding failures, they care about resolving them. The first version of Lemma surfaced issues well but just gave engineers more homework, which they resented. The breakthrough was closing the loop — not just detecting the root cause but automatically proposing a fix and opening a pull request, so the engineer becomes the reviewer rather than the detective. He closes with Lemma's larger vision: deploy once, learn forever. Today's agents do not just plateau in production — they actively degrade through prompt drift and model drift. Lemma is building the observability and self-identification layer that becomes the foundation for truly self-improving agents, where the system can eventually recognize where it is failing, pull the relevant context, and fix itself with minimal human intervention. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Shenbo Xu, MIT PhD and co-founder of Kapnova, to make a distinction that most business leaders have heard but rarely internalized — and that costs companies millions when they get it wrong. Shenbo opens by tracing his path from MIT's AI lab through quantitative research at Point72 and foundational model training at Scale AI, explaining that each stop sharpened the same core insight: prediction tells you what will happen, but causal inference tells you what happens if you actually do something about it. Those are fundamentally different questions, and almost every AI system in deployment today is only built to answer the first one. He illustrates the danger with two vivid examples. First, a retail CEO who copied Apple's no-discount strategy without understanding that Apple's customers and his own were nothing alike — the sales crashed, and he lost his job. Second, eBay's discovery that years of spending on branded search ads — the ones triggered when someone literally types "eBay" into Google — produced almost no incremental value, because those customers were already going to the site anyway. The model said the ads were working. The experiment proved otherwise. This, Shenbo argues, is the gap that lives inside almost every ROAS number ever reported: prediction models get credit for outcomes that would have happened regardless. Causal AI builds an actual model of what drives what, so executives can ask what will happen if we do this before committing the budget. He closes with a forward-looking take on where causal reasoning is heading — pointing to recent DeepMind research suggesting that any AI capable of generalizing across new environments must have learned something causal — and argues that the next generation of decision-making tools will be built on mechanism, not just pattern, making them more honest, more durable, and genuinely trustworthy when the world changes. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Katrina Purcell, growth operations consultant and former chief of staff, to explore the messy, often overlooked work that actually makes scaling companies succeed. Katrina opens with a career that wound through media, project management, and an executive MBA before landing her in the chief of staff role at IAS — where guiding a company through its IPO taught her that her real gift was bringing people along for the ride, not just building the strategy. She explains why she took that skill set independent: companies only IPO once, but dozens of founders need exactly this kind of help right now. She then tackles the most common failure mode she sees in leadership: keeping strategy behind closed doors until it is polished, then rolling it out to a team that never had a chance to shape it and therefore never truly owns it. Her prescription is consistent — involve people early, listen to the perspectives that complicate your plan, and recognize that your business has grown beyond just you the moment you hired a team. On goal-setting, she is equally direct: OKRs fail not because the framework is wrong but because companies copy what Amazon does today without remembering that Amazon did not start there, and because nobody owns the process or adjusts it as the company grows. She closes with a sharp observation about AI and operations — automation sounds appealing until you realize most teams have never documented their processes well enough for a machine to follow them. Her prediction is that AI will actually force the documentation discipline that most startups have always skipped, and that the founders who build durable companies will be the ones who invest in that foundation before they try to automate on top of it. If you liked what you heard today, please leave us a review - Apple or Spotify.  Learn more about your ad choices. Visit megaphone.fm/adchoices