The Digital Executive

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Learn more about your ad choices. Visit megaphone.fm/adchoices