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The Digital Executive

Coruzant Technologies

Best 10-minute, daily tech podcast on emerging technologies, hundreds of Silicon Valley CEOs, Influencers and Celebrities. Hosted by technology executive and creator of Coruzant Technologies.

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August 20 · 19 min
Allen Dine: ER-Level Care, Delivered to Your Front Door | Ep 1308
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Allen Dine, Chief Business Officer at Care2You, to explore what it actually takes to deliver emergency and hospital-level care inside someone's home — and how AI is making that possible at scale across one of the most complex urban environments in the world. Allen opens by tracing a career defined by a refusal to wait for someone else to solve the problem, from learning SQL to build his own data warehouse to deploying AI voice agents for patient intake — because in home care, if you want change, you have to build it yourself. He then walks through how Care2You uses voice AI for the highest-stakes first contact in healthcare: patient intake screening. The agents collect vitals, demographics, and recent history, cut a five-minute clinical call to under two minutes, and flag red flags — but they never make clinical decisions. Every conversation is fully audited so clinicians can review exactly what happened before stepping in, keeping the human always in the loop and the process never a black box. The dispatch and routing challenge gets equal attention: matching the right clinician to the right patient across New York City's five boroughs in real time, accounting for traffic, acuity, and a patient load that isn't fully known until the day unfolds. AI compresses what used to take ten minutes of dispatcher judgment into seconds, presenting ranked options that humans can override and adjust. Allen closes with a vision of hospital-at-home that goes beyond just moving the site of care — arguing that the real opportunity is educating patients about what conditions can be safely and comfortably treated at home, so that recovery happens surrounded by family, pets, and familiar routines rather than hospital walls, at lower cost to everyone involved. 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
August 19 · 17 min
Furkat Kasimov: Don't Copy Success. Learn From Failure Instead. | Ep 1307
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Furkat Kasimov, London-based entrepreneur, angel investor, and author, to explore what it takes to build and invest wisely in the AI era — before the crowd figures it out. Furkat opens with a origin story that predates the current AI boom by a decade, tracing his first investment to an InsureTech conference where he spotted a deepfake detection company called PinDrop Security and recognized that every dangerous technology creates a market for its antidote. That insight became the founding logic of Applayerai, a venture studio built around predicting what solutions large corporations will need in five to ten years — and building them before those corporations think to ask. He then unpacks the philosophy behind his book Don't Do This, explaining why he focused on cataloguing over 150 business mistakes rather than celebrating success stories: timing and luck can't be replicated, but someone else's mistakes can be avoided. He closes with sharp advice for executives navigating the AI stack: treat foundation models like cloud providers and build for model independence so you can swap them out without rebuilding everything; match model cost to task complexity rather than defaulting to the most powerful option for everything; and always measure the cost of completing a workflow so you can actually optimize it. His parting message cuts through the noise simply — don't lose sight of what makes your business great, treat AI as a utility, and build the knowledge base that lets your agents keep improving over time. 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
August 19 · 21 min
Edwin Miranda on Business Singularity: Where Human Judgment and AI Become One | Ep 1306
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Edwin Miranda, founder of Konsultora, to explore what it actually means to build an organization for the AI era — not just one with more tools, but one with less distance between a signal, a decision, and an action. Edwin opens by tracing the common thread across his career in advertising, political strategy, and customer experience: competition and decision-making. Every domain is ultimately about understanding what is changing, making better decisions faster, and adapting before your competitors do. AI, he argues, is the first technology that can sit inside that process and accelerate every step of it. He then addresses the economic pressure bearing down on traditional agency and consulting models — research that took weeks now takes minutes, media buying is increasingly algorithmic, content scales infinitely, and reporting can be automated — meaning businesses built on selling hours to produce those outputs are facing an existential reckoning. The answer is not to resist but to rebuild: moving from selling execution to building the systems, workflows, and decision-making capabilities that let organizations operate differently. Edwin then tackles the accountability question head-on, arguing that as AI moves from answering questions to taking actions, agents need identities, permissions, and audit trails just like any employee — because autonomy without accountability is not transformation, it is risk. He closes with a nuanced take on the human-versus-AI debate, rejecting the framing entirely. The goal is not to remove humans but to remove friction around them, freeing up human capacity for the judgment, creativity, and trust that machines cannot replicate. The companies that thrive will not be those that simply bought AI first — they will be the ones that learned to signal, decide, act, and adapt faster than the world around them 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
August 18 · 24 min
Antonio Mallia: AI Agents Need a Different Kind of Search | Ep 1305
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Antonio Mallia, founder and CEO of Seltz.ai, to explore one of the most overlooked infrastructure questions in the AI era: what happens to web search when the user is no longer a human? Antonio opens with a career that runs from the University of Pisa's information retrieval tradition through a PhD at NYU to research roles at Amazon, Pinecone, and Bloomberg — and traces the moment the idea for Seltz crystallized while building Alexa's question answering engine, when it became clear that the next consumer of search results was not a person but a machine. He then explains why Seltz took the harder path of building its own full retrieval stack from scratch rather than wrapping Google or Bing like most AI search products — and why that distinction matters deeply. Traditional search engines were optimized for human patience: ranked lists, short snippets, spell correction, ambiguous queries refined over multiple attempts. LLMs need something fundamentally different — full paragraphs without truncation, long and specific queries that nail the topic on the first attempt, and above all, freshness, because the one thing a model cannot learn in training is what happened after its cutoff date. Seltz also focuses its index on the content LLMs struggle most with — tables, financial records, SEC filings, and structured data that traditional crawlers skip and models cannot reliably memorize. Antonio closes with a prediction that reframes the entire stakes of what he is building: human search queries have plateaued, but machine queries are growing exponentially, and as people spawn multiple specialized agents to handle their knowledge work, the query load on web infrastructure will reach a scale never seen before. The companies that build for that future — with efficiency and freshness at their core — will define the next twenty years of the web. 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
August 18 · 24 min
Harvey Liu: The Exchange Built by Traders, for Traders | Ep 1304
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Harvey Liu, CEO of LevX Exchange, to explore what happens when traders stop using exchanges and start building their own. Harvey opens with his origin story — one of the first Bitcoin investors in China in 2013, conducting due diligence on early exchanges like Huobi and OKCoin from a VC firm at a time when blockchain was still the Wild West, and nobody on an investment committee wanted to hear about it. Over the following decade, he tracked the industry, moved to Singapore, reviewed over fifty Web3 projects, and eventually concluded he had the network, the technology background, and the trader's perspective to build something better. That trader-first philosophy shapes everything about LevX — from onboarding that collapses KYC to a single ID and selfie validated in under thirty seconds, to a multi-trade feature that lets users hold up to ninety-nine positions on a single trading pair simultaneously, something Harvey says no other major exchange offers. The community layer is equally distinctive: LevX works closely with reputable crypto KOLs to publish exclusive educational content and live trading feeds, and runs bug bounty and suggestion programs that give the most engaged users real influence over the product roadmap. Harvey closes with a clear-eyed view of where exchanges are heading — toward consolidation, diversification into stocks and commodities, and a flight to quality as the pump-and-dump era fades. His conviction is simple: the exchanges that survive will be the ones that actually help their users build wealth, not just trade volume. 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
August 13 · 18 min
Michael Ashoori: You Have More Immigration Options Than You Think | Ep 1303
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Michael Ashoori, founder and president of Ashoori Law, to cut through the confusion that surrounds U.S. immigration for entrepreneurs, investors, and skilled professionals. Michael opens with the personal foundation of his practice — as the first American-born member of an immigrant family, he brings an empathy to client relationships that goes beyond legal expertise, drawing directly on his parents' experience of building a life and a business in a new country. He then tackles the most common misconceptions he encounters: that there are only a handful of immigration pathways available, that investors must commit to high-cost options like the EB-5, and that clients need to have everything figured out before they ever pick up the phone. In reality, Michael argues, an early consultation with an immigration attorney is one of the highest-leverage moves a founder or investor can make — not only because there are often multiple compelling pathways worth weighing, but because many firms charge flat fees regardless of when you engage, meaning waiting until you have done all the legwork costs you the most valuable part of the relationship. He addresses AI's growing role in immigration law honestly: it can make certain aspects of case preparation more efficient, but it is not a substitute for the strategic judgment that defines good immigration counsel, and any usage must be grounded in professional ethics. He closes with a candid, speculative look at where immigration is heading — acknowledging that employment-based categories tied to labor market demand may face pressure as AI and robotics advance, while investment and merit-based pathways may prove more durable. His bottom line: consult early, understand your options, and do not assume the path you have heard about is the only one available to you. 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
August 13 · 14 min
Tarek Saab: Your Gold ETF's Metal Isn't in America | Ep 1302
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Tarek Saab, CEO of Texas Precious Metals, to explore why where your gold sits matters more than most investors have ever stopped to consider — and what it took to build the infrastructure to do something about it. Tarek opens with the founding story of Texas Precious Metals in 2011, when the precious metals industry was still largely offline and shipping high-value packages safely across the country was a logistical and insurance puzzle nobody had cracked. He traces the company's growth from a pioneering e-commerce model to one of the world's most technologically advanced depositories, with more than fourteen billion in assets under custody secured by SWAT teams, facial recognition, fog detectors, and real-time bar-level accounting that tracks every ounce like a seat in a stadium. The conversation then shifts to the central premise behind the Yall Street ETFs: more than ninety-five percent of the metal backing US gold and silver ETFs is held overseas, with the vast majority in London. Before COVID, geopolitical instability, supply chain disruption, and the 2022 removal of Russia from the SWIFT system, that largely didn't matter. Now it does — and Tarek spent fifteen months building out the depository network and bullion bank relationships needed to back ETFs with one hundred percent US-domiciled metal. He closes with a macro view of where precious metals are heading: what he sees as the early innings of a commodity super cycle, a financial world in structural transition, and gold that has quietly outperformed the S&P 500 total return by nearly two times over the last twenty-five years — with zero correlation to equities. 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
August 12 · 18 min
Sahil Aggarwal: Sellers Sell Less Than You Think. | Ep 1301
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Sahil Aggarwal, founder of Von, to make a blunt case that the go-to-market function has been left behind while every other part of the business got transformed by AI — and that the window to fix it is now. Sahil opens with a decade of conviction built from doing B2B sales himself, building software for it, and advising large pharma companies on sales efficiency: the deals were never won because of the product or the CRM. They were won because of the workflow around it, and that workflow has always been broken. He then delivers a striking data point — while the industry talks about sellers spending seventy percent of their time on admin, Von's own study of over a thousand sellers found the real number is even worse. Less than fifteen percent of a seller's day is spent on customer-facing activities. The rest is prep, follow-up, CRM updates, and busywork that AI can now handle. He draws the analogy to Henry Ford's transition from horse-drawn carriages to the combustion engine — a shift so fundamental it required rethinking the entire form factor, not just the engine — and argues that go-to-market is at exactly that inflection point now. Von sits at the intelligence layer, connecting to a company's full go-to-market stack and handling pipeline analysis, forecast prep, territory planning, and Salesforce updates in plain language. He closes with a bold prediction: the models capable of delivering this future already exist. Quoting Anthropic's Dario Amodei, he argues that even if AI development stopped today, the current capabilities haven't fully distilled into society yet — and a revenue org that figures that out first can generate three to five times more output with the same team. 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
August 12 · 17 min
Gary S. Michel: The CEO Case for Radical Simplicity | Ep 1300
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Gary S. Michel, former Chairman and CEO of JELD-WEN and author of Decomplify, to explore why the most dangerous thing a leader can do is mistake busyness for progress. Gary opens by tracing his path from mechanical engineer to global CEO, noting that he never set out to run a company — he just kept chasing bigger problems, until he realized the hardest ones were never technical. They were organizational. That insight became the foundation of his leadership philosophy and his book, which centers on a single uncomfortable truth: organizations don't get complicated because people are careless — they get complicated because people care too much, too fast, adding meetings, metrics, and initiatives with good intentions until the original purpose gets buried under what he calls process debt. He defines simplicity not as a style but as a discipline — the hard, daily work of saying no, identifying the critical few things that actually matter, and subtracting everything that doesn't move the organization forward. He is careful to distinguish simple from easy: simple is the destination, and getting there requires leaders to constantly ask who they are solving for and what they can stop doing to make room for what actually counts. He closes with a clear-eyed take on AI — not dismissive, but grounding. AI will amplify organizations, not fix them. If a company lacks clarity, purpose, or healthy culture, AI will help it become confused faster. The leaders who win will not be the ones with the most technology. They will be the ones who know which decisions belong to AI and which belong to people — and who use every tool available to eliminate complexity rather than create 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
August 12 · 17 min
Christopher Sprague: Leadership Dev Is Broken. AI Can Fix It. | Ep 1299
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Christopher Sprague, CEO and co-founder of Enluma Leadership Group, to make the case that one of the most valuable investments a company can make has been locked behind a velvet rope for decades. Chris opens with an unlikely origin story — a high school calculus teacher who created an environment where students worked harder than they thought possible and actually loved doing it — and traces how that memory followed him through a PhD in toxicology, twenty years of leading complex transformations across Fortune 100 pharma companies, and eventually to founding a leadership platform built for the people organizations consistently overlook. The middle. Not the high performers or the low performers, but the sixty-five to eighty percent of the workforce that keeps things running — and that a ten percent improvement in would transform an entire company's culture, productivity, and revenue. Chris breaks down why high-quality coaching has historically stayed at the top of the org chart: it has always been human-heavy, expensive, and unscalable. AI changes that equation, but not by replacing the human element. Enluma's approach uses AI for the spark — curiosity-based questions, nudges, action plans — while insisting that real behavior change only happens in an environment where people try, fail, get feedback, and learn alongside others. He closes with a sharp critique of how organizations measure leadership development today — counting completed workshops and training hours instead of behavior change and business impact — and argues that until companies measure what actually matters, they will keep getting what they have always gotten: notes that collect dust on a shelf and people who go right back to their old habits on Monday morning. 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
August 6 · 30 min
Pedro Andrade: I'm in the Contact Center Industry to Reinvent the Contact Center | Ep 1298
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Pedro Andrade, VP of AI at Talkdesk, to challenge everything the industry thinks it knows about AI in the contact center. Pedro opens by drawing a straight line from the dot-com boom to today's AI wave — both rewarded the same thing: speed of execution, willingness to experiment, and relentless focus on customer value. He then breaks down Talkdesk's Customer Experience Automation framework — a discover, build, orchestrate, and measure cycle that starts not with a vendor pitch but with a company's own data, identifying where friction actually lives before prescribing any solution. The most valuable part of the conversation comes when Pedro confronts the gap between AI demos and real deployments head-on, describing much of his job as dismantling fairy tales. He walks through two concrete case studies: a telecom company that replaced a broken IVR tree with a conversational AI that lifted successful call transfers from fifty-five to eighty-seven percent and boosted sales conversion by twenty-six percent, and a back-office team where fourteen full-time employees manually qualifying leads across four systems were replaced by a single AI agent , freeing the humans for higher-value work. He closes with a bold vision of the contact center's future: not a room full of agents answering calls, but a small team of humans monitoring a fleet of AI agents in real time, guiding rather than replacing them. And beyond that, a world where the contact center becomes unnecessary altogether, because AI anticipates the problem before the customer ever has to call. 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
August 5 · 18 min
Mohan Gulatin: AI Is Reinventing the Neighborhood Pharmacy | Ep 1297
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mohan Gulati, CEO and co-founder of Thinkrr.ai, to explore how voice AI is quietly transforming one of healthcare's most overlooked touchpoints — the independent pharmacy. Mohan opens with the moment that pushed him out of the enterprise world: watching Fortune 500 companies freeze in the face of AI while smaller businesses were eager to move fast and get started. That energy drew him toward SMBs, and eventually toward independent pharmacies, where a group of progressive owners reached out looking for a solution that simply didn't exist yet. What Thinkrr built handles between four hundred and six hundred patient calls per day at flagship accounts, with HIPAA compliance, under forty millisecond response times, and instant pharmacist handoff for anything requiring human judgment. Mohan explains how the team avoids the hallucination risk that makes AI in healthcare particularly high stakes — by breaking conversations into segments, grounding responses in live pharmacy management system data, and maintaining a constant observability layer that watches for anything going off the rails. He is clear that improvement, not perfection, is the goal, and that the system's design naturally limits the risk of serious errors because the physical safeguards of prescription pickup already exist. He closes with a vivid vision of the pharmacy in 2031 — not as a place that answers phones and fills pills, but as the front door to community healthcare, where AI and robotics handle the administrative and logistical burden so that pharmacists can do what they are uniquely qualified to do: provide real healthcare guidance to patients who need it and can't easily access a doctor. 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
July 31 · 19 min
Peter Carnochan: Inside the Minds of Silicon Valley's Leaders | Ep 1296
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Peter Carnochan, psychologist, psychoanalyst, executive coach, and author, to explore what happens when three decades of deep clinical work meets the high-stakes world of Silicon Valley leadership. Peter opens by tracing his unusual path from studying Nietzsche at Harvard to working with troubled youth, explaining that philosophy and therapy were never separate pursuits for him — both were attempts to get to the bottom of things. He then unpacks countertransference, the central concept of his book Looking for Ground, and why a therapist's own emotional reactions in the room are not noise to be filtered out but signal to be read. Just as a golf pro learns more watching a full swing on the range than hearing a description of it over the phone, a psychoanalyst learns more from how a client makes them feel than from almost anything the client says. That same principle carries directly into his executive coaching work, where he pays close attention to how leaders impact him in the room — because that impact is likely a close approximation of what their teams, boards, and investors experience every day. He shares the story of a third-time founder navigating explosive growth, venture capital pressure, and the seductive pull of AI-enabled speed, describing the real work not as eliminating struggle but as learning to stay within the human realm rather than chasing an Icarus-like ascent. He closes with a reflection on what AI cannot replace in the therapeutic relationship — the deeply mammalian, biologically rooted experience of attachment and connection through which human beings develop agency, creativity, and the capacity to keep reinventing what it means to be fully alive. 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
July 29 · 19 min
Allie Kline: Who's Responsible for Your AI Agent? | Ep 1295
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Allie Kline, interim CEO of Innovation Labs at Identity Digital, to tackle one of the most urgent and overlooked problems in the AI era: accountability. Allie opens by drawing a through line across her career — from AOL's separation from Time Warner to the Yahoo integration — arguing that every major technology shift creates a moment where foundational infrastructure either gets built or gets retrofitted painfully later. AI accountability is that moment right now. She explains why the current gap is so dangerous: today's AI agents mostly operate within a single organization's walls, where responsibility is relatively clear. But as agents increasingly cross organizational boundaries to interact with customers, suppliers, partners, and other agents, accountability needs to travel with them — and no existing standard makes that possible. Innovation Labs is focused on that specific missing piece: not authentication, not authorization, but a simple, neutral, interoperable way for any organization to identify who is responsible for an agent, regardless of where it was built or where it operates. Allie frames it as a birth certificate for AI — not a replacement for all the governance that builds on top, but the foundational layer everything else depends on. She closes with a vision of five years from now where that foundation is so embedded it becomes invisible, the way HTTPS or Wi-Fi is invisible today — something people simply expect to work. Her warning is clear: the window to build this foundation before the risks compound is open now, and the people closest to the problem are the ones who need to build 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
July 29 · 22 min
Rory Blundell: Who's Governing Your AI Agents? Probably No One. | Ep 1294
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Rory Blundell, CEO of Gravitee, to explore why the infrastructure built for the API economy is fundamentally unprepared for the agentic era — and what it will take to fix that before the risks outpace the rewards. Rory opens with the story of joining Gravitee during the pandemic, taking a fifty percent pay cut to bet on a four-person company he believed in after using the software himself, and scaling it to over 180 employees and forty million in revenue. He then makes a sharp argument: traditional API gateways were architected around humans as the center of gravity, and that assumption breaks the moment autonomous agents enter the picture. Agents move faster, authenticate differently, require far more granular authorization, and increasingly act on behalf of humans in ways that legacy governance tools simply were not designed to handle. To solve this, Gravitee built Gamma — a unified control plane that Rory describes as finally putting the keypad and the door in the same platform, eliminating the dangerous gap that lets agents bypass governance layers entirely. He breaks the governance crisis down into three compounding problems: no enforcement layer, no proper identity framework for non-human actors, and no reliable way to give agents the context they need to operate safely. The conversation closes with a forward-looking take on what a truly governed agentic enterprise requires — and Rory's conviction that the answer is not more rules, but a central governance control point sophisticated enough to make human-in-the-loop decisions dynamically, so that agents and humans can work in harmony rather than in competition. 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
July 24 · 19 min
Mandi Bateman: Your Genome Is the Blueprint | Ep 1293
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mandi Bateman, CEO and co-founder of Profile Health, to explore what happens when whole genome sequencing, longitudinal patient data, and clinical intelligence come together to give physicians a complete picture of who their patient really is. Mandi opens with hard-won lessons from her previous startups — most importantly, that precision medicine direct to consumer is a race to the bottom, and that the right path to scaling this kind of complex, data-heavy care is through the hands of physicians who have the training and trust to use it well. She explains why Profile Health deliberately chose the cash pay healthcare vertical as its beachhead: free from the constraints of insurance reimbursement, physicians in this space are already seeking advanced diagnostic tools, and patients are actively asking for them. The personal dimension runs deep — Mandi's own autoimmune disease was addressed through this kind of medicine, and her co-founder and chief science officer bring decades of clinical and molecular expertise that have made physician adoption remarkably smooth. On the trust question, she is direct: patients are not afraid of genomic testing — they want it — and the rare hesitation comes from fear of what they might find, not from privacy concerns. She closes with a vision of precision medicine at scale: whole genome sequencing as a one-time foundation, layered with wearables, biomarkers, and longitudinal data to enable truly preventative care that catches disease before it starts. Her conviction is that as sequencing costs continue to fall and consumers grow more engaged in their own health, the mainstream is closer than most people think — and the physicians who have the right tools will be the ones who lead the way there. 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
July 23 · 29 min
Alfredo González Briseño on The Missing Ingredient in AI Regulation | Ep 1292
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Alfredo González Briseño, policy innovator, author, and founder of fAIrly Simple, to explore why the biggest gap in AI governance isn't what governments are regulating — it's how they're doing it. Alfredo opens by drawing a direct parallel between building a successful business and building effective regulation: both require a managed life cycle, stakeholder input, evidence-based decisions, transparency, and ongoing review. Skip the process and you get what he calls weekend rules — surprise announcements that nobody saw coming, that nobody can explain, and that often get reversed days later. He makes this concrete with two recent examples: the Anthropic export control directive, which arrived without public explanation and was partially reversed within weeks, and Illinois's AI Safety Measures Act, a fifty-plus page law that never states the problem it is trying to solve and layers eighty to ninety obligations onto companies without a clear cost-benefit assessment. Neither case is an attack on the intent behind the regulation, but both reveal what happens when the how is missing. Alfredo then introduces fAIrly Simple, his GovTech startup built to reduce regulatory friction for businesses navigating complex, multi-jurisdictional environments — starting with the foundational problem of making regulations easier to find, understand, and act on, particularly for firms entering unfamiliar markets. He closes with his vision for effective AI governance over the next decade: a genuinely multidisciplinary effort that brings technologists, industry players, and policymakers together under a mindset of regulatory humility — recognizing that no one has all the answers, and that the only way forward is through collaboration, coordination, and leaders willing to listen before they legislate. 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
July 22 · 19 min
Jason Allan Scott: Revenue Is Vanity, Freedom Is Sanity | Ep 1291
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Jason Allan Scott, serial entrepreneur, nine-time exit veteran, and founder of the Soul Method, for a masterclass in building businesses that create freedom instead of obligation. Jason opens with two defining moments: a childhood film that planted the belief that what one person can do, another can do too — a mantra that carried him out of poverty and civil unrest — and a later realization that he had been measuring the wrong thing entirely. Chasing revenue, he discovered, builds golden handcuffs. Chasing options builds a life. He breaks down why so many founders accidentally turn their businesses into jobs, explaining that experts who start companies solve every problem with their own expertise until the business simply cannot function without them — which is precisely what makes it unsellable. From there, Jason introduces his formula for evaluating any business opportunity: Unique, Sticky, Expensive, AIR — meaning anyone can explain what you do to a friend in a single sentence, turning every customer into a walking billboard. He illustrates it through the Soul Method and his med tech company, where buying machines at twelve thousand and helping clients earn fifty thousand made the value proposition almost frictionless. He closes with a forward-looking take on entrepreneurship in the AI age — arguing that information is about to become worthless, and that what will be truly scarce are judgment, taste, trust, relationships, and distribution. His parting advice to founders: solve pain, not preferences; own the customer relationship; build systems that run without you; and never forget that revenue is vanity, but profit and freedom is sanity. 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
July 21 · 20 min
Dr. Chirag Patel on The Future of Elite Athletic Performance | Ep 1290
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Chirag Patel, physician, founder, and ESPN injury analyst, to explore what happens when clinical precision meets elite sports, investment strategy, and the drive to democratize access to world-class care. Chirag opens with a deceptively simple insight — the foot is the body's smallest lever with the largest downstream effect — and traces how following that constraint led him from podiatry to professional sports medicine to enterprise development. The moment that crystallized everything was two patients with the same ankle injury in the same week: a pro athlete who avoided surgery because he had a team around him at all hours, and a working person who ended up in the operating room because he had a printed sheet of exercises and a six-week follow-up. Same diagnosis, radically different outcomes — and the only variable was access. As ESPN's resident injury expert, Chirag explains how he navigates commenting on athletes he has never treated: he speaks to injury patterns, not individual people, and he is always transparent about where his knowledge ends, because a system that won't tell you when it doesn't know isn't intelligent — it's just confident. He then breaks down what data actually matters in return-to-play decisions — limb asymmetry, rate of force development, consistent daily signals — and why pain and calendar are still the dominant but deeply flawed tools most teams rely on. He closes with a vision of the breakthrough that could change everything: not better sensors or more data, but a true decision layer that works the way Google Maps works — knowing exactly where you are right now, recalculating without judgment when you go off course, and delivering guidance built for you specifically, not for the average population. The goal is to give every athlete, from a 16-year-old with a parent and a phone to a seasoned pro, the kind of support that currently only money can buy. 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
July 21 · 19 min
Brian Trzupek on The Race to Secure the AI-Driven Enterprise | Ep 1289
In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Brian Trzupek, Senior Vice President of Product at DigiCert, to explore what it means to build digital trust in a world where AI agents are multiplying faster than anyone can track them. Brian opens with a career arc that spans founding Creduware, fighting cybercrime at Trustwave, and testifying before Congress on the 2013 Target breach — experiences that sharpened his ability to translate deeply technical security concepts for non-technical audiences, from policymakers to boardrooms. He then unpacks DigiCert's agent passport framework, a four-layer cryptographically signed credential combining identity, policy, lineage, and ownership that gives enterprises the one thing they want most from their AI deployments: a kill switch. With some customers deploying four hundred agents per week and hundreds of MCP servers per quarter, the ability to find, identify, and stop a misbehaving agent is no longer theoretical — it is urgent. The conversation then turns to quantum readiness, where Brian makes the case that the first move is always inventory — you cannot protect what you do not know you have — and that true crypto agility is the goal, because it solves not just quantum risk but also shrinking certificate lifespans, Chrome deprecations, and mass revocation events all at once. He closes with a vision of the winning enterprise as one that treats identity and trust not as a bolt-on for each new technology wave, but as a single automated foundational layer spanning humans, devices, workloads, agents, and content — built to handle whatever comes next, at whatever speed AI decides to move. 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

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