As we celebrate our 300th episode, we looked back at two very different conferences that revealed the same technology trend. First was the Bitcoin conference in Las Vegas, where the conversation was no longer about whether Bitcoin would survive. Instead, attendees focused on institutional adoption, corporate treasury strategies, regulation, and how Bitcoin fits into the future of global finance. Laura also spent time meeting with industry leaders including BitFuFu, XCE, and Soapbox Technologies, gaining additional insight into where the industry is heading. The technology has matured beyond its early skepticism and is now being discussed as part of the mainstream financial system.

A few weeks later at CLOC 2026 in Chicago, we saw a similar evolution in the legal technology world. AI dominated the agenda, but the discussion wasn’t about what AI might do someday. Legal operations leaders were focused on governance, implementation, ROI, risk management, and how to successfully deploy AI within their organizations. The excitement remains, but the conversations have become much more practical.

What stood out was how closely these industries mirrored one another. At Bitcoin, the question was how to govern and integrate digital assets. At CLOC, the question was how to govern and operationalize AI. In both cases, the technology itself was no longer the story. Execution was.

After 300 episodes covering everything from cybersecurity and privacy to AI, legal tech, crypto, space technology, and everything in between, one lesson continues to emerge: the future isn’t built on bold predictions. It’s built on organizations that can turn innovation into measurable business value.

Most importantly, thank you to everyone who has listened, subscribed, shared episodes, joined us as guests, and supported That Tech Pod over the last five years. What started as a simple idea has grown into 300 conversations with incredible leaders, innovators, and experts across countless industries. We appreciate every listener who has been part of this journey. Here’s to the first 300 episodes, and to the next 300!

What does it take to modernize the systems that keep water flowing, wastewater moving, and nine million New Yorkers served every day?

In this episode, we sit down with Robert "Max" Maxfield, Chief Systems Architect at AITHERAS and the architect behind New York City's SCADA modernization efforts for the Bureau of Wastewater Treatment. Max takes us inside the world of critical infrastructure, where downtime isn't an inconvenience, it's a public risk. From managing decades-old industrial systems and balancing modernization against reliability, to defending essential services against cyber threats, Max shares what it really takes to operate technology that most people never think about until it fails.

We also explore the realities of AI in critical infrastructure, the cybersecurity challenges facing utilities, the surprising longevity of legacy systems, and how Max's passion for motorcycles, racing, and building machines shapes his approach to engineering. It's a conversation about technology, risk, resilience, and why sometimes the most important systems are the ones nobody notices.

Robert “Max” Maxfield is the Chief Systems Architect at AITHERAS, leading the SCADA Modernization Program for NYC’s Bureau of Wastewater Treatment. In this role, Max designs and deploys the systems that keep critical water infrastructure operating for nine million New Yorkers. With 20+ years in industrial controls, 27 platform certifications, and prior architect roles on national operations centers and the Doyon Utilities Alaska modernization, Max specializes in the messy intersection of legacy industrial systems, modern SCADA, cybersecurity, and, increasingly, AI. He's been published in Forbes on industrial technology, runs his own GPU lab for local model fine-tuning, and spends his off-hours on custom motorcycles, off-road racing, and drag racing. Equal parts engineer, builder, and pragmatist, Max brings a field-tested perspective on what actually works when the stakes are critical infrastructure.

In this episode of That Tech Pod, we sit down with Greg Upah for a conversation that goes far beyond scripts, software, and sales tactics. With a career path spanning academia, advertising, Wall Street, and sales education, Greg brings a rare perspective on what actually influences decision-making and why human behavior still sits at the center of great selling.

We explore what stays constant across industries, whether modern sales technology has changed the game or simply changed the packaging, and why the fundamentals of buyer psychology still matter. Greg also shares lessons from mentoring the next generation of sellers at Texas A&M, discusses the ideas behind his book Sales Talks: The Why, What, and How of Selling, and reflects on the hard-earned lessons that shaped his own career. Whether you're leading a sales team, building technology, or trying to understand how people make decisions, this episode is a look at the timeless principles behind meaningful conversations and lasting results.

To get a copy of the book, Sales Talks: The Why, What, and How of Selling, Greg asks readers to email him directly at GregUpah@gmail.com.

Greg Upah has built a career that spans academia, advertising, finance, and sales education. He began as a marketing professor at Virginia Tech and later at NYU Stern School of Business, before moving into industry as an associate research director and new business team member at Young & Rubicam in New York. He then spent 15 years at Merrill Lynch in senior sales and marketing roles within its Asset Management Group. For more than a decade, he has mentored students in the Professional Sales Program at Texas A&M University. A graduate of University of Notre Dame with a Ph.D. in Marketing from University of Illinois Urbana-Champaign, he has published in leading journals including the Journal of Marketing and is the author of Sales Talks.

In this episode of That Tech Pod, Laura and Kevin sit down with Chad Gold, CFO of Fullstory and former finance leader at G2 and Salesloft, for a candid conversation about what finance leadership actually looks like in today’s SaaS market.

Chad breaks down how the CFO role has evolved as the industry shifts away from growth-at-all-costs and toward profitability, operational discipline, and measurable efficiency. He shares what private equity ownership changes behind the scenes, including tighter reporting expectations, faster accountability cycles, and a sharper focus on margin performance. The conversation also cuts through the noise around AI spending. Chad gives a practical finance perspective on which AI investments are creating real operational leverage versus which ones are simply expensive experiments designed to satisfy boardroom pressure. Along the way, he explains the metrics that matter most now compared to five years ago, where companies risk overcorrecting on cost-cutting, and how SaaS leaders can balance innovation with long-term value creation.

If you want an honest look at how modern CFOs evaluate technology, efficiency, and growth in a tougher market, this episode delivers it.

Chad Gold is the Chief Financial Officer at Fullstory, where he leads finance and helps guide the company’s growth and operational strategy. He brings a strong track record from high-growth SaaS companies, having previously served as CFO at G2 and Salesloft, where he supported rapid scaling and value creation. Across these roles, he has developed a practical perspective on how finance leaders evaluate technology investments, particularly around AI, with a focus on driving efficiency, improving margins, and aligning cost discipline with customer experience.

This week on That Tech Pod, Kevin and Laura talk with David Turner, Global Leader of Data & Analytics and Co-Leader of AI at FTI Consulting, about what it really means to operate at the center of data, AI, and high-stakes problem solving.

David’s career path might look straightforward, from Arthur Andersen to Capital One and then more than two decades at FTI, but he explains it was less about a master plan and more about finding the right environments and teams. Consulting, for him, became the place where he could continuously solve new, complex problems, often stepping in when companies are facing moments that feel existential.

The conversation dives into AI quickly, cutting through the hype. David focuses on what actually works: real use cases, hands-on experience, and teams actively experimenting with tools. His view is that AI isn’t something you can understand from a slide deck. It’s a skill you build by using it, and the companies moving fastest are the ones sharing what’s working internally. One of the biggest themes is how AI is reshaping the economics of consulting. If technology compresses time to insight, what happens to the billable hour? David doesn’t see a clean break, but he does see a shift. Expertise becomes more valuable, and firms will need to get more creative with pricing, blending traditional models with outcome-based approaches depending on the work. They also spend time on risk, shaped in part by David’s early experience during the collapse of Arthur Andersen. That moment reinforced that no firm is immune, and it continues to influence how he balances innovation with caution, especially in today’s AI-driven environment. This is a grounded look at where AI is actually making an impact and where the real challenges still are.

David Turner is the Global Leader of Data and Analytics and Co-Leader of AI at FTI Consulting, and now serves as the firm’s Chief Technology Officer for client-facing technology. He works with executive teams on high-stakes challenges across investigations, litigation, compliance, and corporate transformation, helping organizations turn data into a real asset using advanced analytics and responsible AI. Over the course of his career, he’s advised Fortune 500 companies, global law firms, and public sector clients, and has played a key role in shaping FTI’s approach to AI and client-facing solutions.

Coming off the Bitcoin 2026 conference in Las Vegas, Laura and Kevin sit down with Eliézer Ndinga, the Global Head of Research at 21Shares, a Switzerland-based financial services company that issues cryptocurrency exchange-traded products, to unpack what they heard, what actually matters, and what’s still just noise.

We get into Eli’s background and how he’s been navigating the intersection of crypto, infrastructure, and real-world adoption, then use that lens to pressure test some of the biggest themes coming out of the conference. Where is the signal versus the hype? What felt different this year compared to prior cycles? And what are people still getting wrong?

The conversation moves from big-picture trends into more practical territory. We talk about where institutional interest is real versus performative, how regulation is shaping behavior behind the scenes, and what it actually looks like for companies trying to build in this space right now. Eli shares where he’s seeing momentum, where things are stuck, and what he’s personally paying attention to over the next 12–18 months. We then spend time on the human side of all of this. How do you build conviction in a space that constantly resets the narrative? What separates people who stick around and compound knowledge from those who chase cycles? And how should someone adjacent to crypto be thinking about getting involved without getting burned?

Eliézer Ndinga is the Global Head of Research at 21Shares, where he leads the firm’s efforts to analyze digital asset markets, blockchain innovation, and the evolving role of crypto in global finance. A founding team member who joined in 2020, he has played a key role in shaping the company’s research perspective as it grew into one of the world’s largest issuers of crypto exchange-traded products. Eli is known for connecting the technical foundations of blockchain with real-world applications across enterprises, financial systems, and emerging technologies like DeFi and tokenization. His work focuses on identifying where digital assets are gaining meaningful traction, how regulatory shifts are influencing adoption, and where the next wave of growth is likely to emerge.

Today's episode starts off with an enthusiastic push to adopt dogs, spotlighting Tonka, a sweet, cuddly miniature pit bull from the Colleton County Animal Shelter. Despite a cosmetic leg issue, he’s healthy, great with other animals, and in need of a home. Laura makes a passionate case for adoption or fostering, even joking about personally arranging transport. It’s a genuine reminder that there are a lot of great dogs out there that need homes so adopt a dog!

The conversation then gets serious turning to David Matalon, who breaks down the uncomfortable reality of modern work: remote and distributed teams are here to stay, but most companies haven’t actually solved how to secure them. The old model, locked-down corporate laptops or clunky VDI setups, doesn’t match how people work today. Employees are constantly moving between personal devices, hotel Wi-Fi, and public networks, often handling sensitive data in ways that leave them far more exposed than they realize.

BYOD sits right at the center of that tension. David's take is that companies have been avoiding the truth for years. You can’t fully control the device anymore, and trying to do so either creates major security gaps or pushes employees to work around restrictions entirely. The shift he describes is toward securing the work itself, not the hardware, using approaches like isolated workspaces that separate professional and personal activity without killing usability. It also becomes critical in the age of AI, where the real risk is employees casually moving sensitive data into personal tools without oversight. Looking ahead, Matalon predicts a pretty clear shift: the idea of company-issued laptops as the default will fade, and BYOD will become the norm. The challenge for organizations isn’t whether this happens, it’s whether they can secure it in a way that actually aligns with how people work.

David Matalon is a five-time founder and the CEO of Venn, where he focuses on helping organizations securely support distributed and remote workforces. With a background spanning virtual desktop infrastructure (VDI), endpoint security, and compliance, he has built and led multiple companies centered on delivering secure application access for modern work environments. At Venn, he introduced Blue Border™, a technology designed to create a secure, IT-controlled workspace on personal devices without sacrificing user experience or relying on traditional VDI. He holds an undergraduate degree from New York University Stern School of Business and a master’s degree from Columbia University.

In this episode, we sit down with Ilan Sherr, VP of Investigations and Regulatory Response at Lineal, to explore how AI is reshaping legal work, investigations, and compliance.

Ilan shares how his background in competition law and regulatory enforcement led him to see early on that reactive approaches weren’t sustainable, pushing him toward building AI-driven methods to identify risk before it escalates. We unpack where organizations really stand on the shift to proactive monitoring, and why many teams are still relying on legacy eDiscovery practices that create inefficiencies and exposure. The conversation also digs into culture. While companies talk about proactive risk detection, those efforts often stall when transparency and accountability become uncomfortable. On the AI front, we tackle a growing question: when does not using AI become a defensibility issue? Ilan offers a practical view on how expectations are evolving and what legal teams should be thinking about now. Finally, we zoom out to strategy. Ilan explains what becomes possible when legal expertise is tightly integrated with data and technology, how that’s changing the role of investigations teams, and why, despite all the innovation, the hardest challenges are still human.

Ilan Sherr is Vice President of Investigations and Regulatory Response at Lineal, where he helps organizations deal with investigations and respond to complex regulatory scrutiny while advancing proactive, AI-enabled risk strategies. An award-winning legal innovator with over 20 years’ experience in competition law, regulatory enforcement, and global compliance, Ilan previously founded and led Aiscension, DLA Piper’s AI-driven risk-management business, recognized for transforming how organizations detect cartel and bribery risks. He has been named in The Lawyer’s Hot 100 and recognized by Legal Week, the Financial Times, and ALM for his work at the intersection of law and AI.