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.

With Tax Day right around the corner, Laura and Kevin take a hard look at a question a lot of high earners quietly avoid: if you’re making great money in tech, why aren’t you actually on track to retire?

Haley Gray, CFP®, joins the pod to break down the gap between income and real wealth. She explains how strong salaries can create a false sense of security, especially when taxes, lifestyle creep, and equity compensation complicate the picture more than people expect. The conversation digs into how rapid income growth subtly reshapes spending habits, often locking people into a higher cost of living before they’ve built a solid financial foundation. Haley also unpacks the realities of equity comp, from RSUs to stock options, and why having too much tied up in one company can create risk that’s easy to overlook when things are going well. With a practical, no-nonsense approach, Haley walks through what “retirement readiness” actually means, how often people should be checking in on their progress, and the moment of truth many face when they finally run the numbers.

The big takeaway: making good money isn’t the same as building wealth. But with a few smart moves, starting now, it’s possible to get on track faster than most people think.

Haley Gray is a CFP® professional and Financial Advisor at Stellarix Group, where she works with professionals in technology and other fast-paced industries to navigate complex financial decisions with clarity and confidence. Her work focuses on retirement planning, tax strategy, and long-term wealth building, with an emphasis on areas that are especially relevant for tech professionals, such as equity compensation, variable income, and concentrated stock positions. Haley brings a modern, practical perspective to financial planning, helping clients simplify complexity and make smarter decisions with their money over time. She is known for her practical, education-first approach, helping clients focus on what actually matters and make confident financial decisions without unnecessary complexity. Her goal is to help clients build strong financial foundations that support both their careers and their long-term goals.

Haley Gray is a registered representative of and offers securities and investment advisory services through qualified MML Investors Services, LLC. Member SIPC. OSJ: 2000 S Colorado Blvd, Tower 2, Ste 800, Denver, CO, 80222-7952, (303) 692-8183. The Stellarix Group is not a subsidiary or affiliate of MML Investors Services, LLC or its affiliated companies. CA Insurance License #4087390

This week on That Tech Pod, healthcare cybersecurity gets a reality check.  Ed Gaudet, Founder and CEO of Censinet, joins the show to unpack how he found his way into healthcare security and why it became the problem he chose to focus on long term. From there, the conversation moves quickly past surface-level explanations and into where things actually break inside health systems.

It’s not a lack of tools. It’s not a lack of awareness. Ed lays out how leadership gaps, misaligned incentives, and day-to-day operational pressures create the conditions for breaches, even in organizations that believe they’re in good shape. He also shares how he would test that assumption and what signals tell you whether a system is truly secure or just hoping it is. The episode digs into the tension between patient care and security, questioning whether it’s a real constraint or sometimes a convenient reason to avoid harder decisions. On the AI front, Ed separates what’s actually working from what’s getting too much credit, and highlights the parts of a breach that technology alone won’t fix. It wraps with a candid look at the hard truths the industry tends to avoid and what real accountability would look like if organizations took cybersecurity seriously.

Then stick around to the very end for a bonus poem that adds an unexpected close to the conversation.

Ed Gaudet is the Founder and CEO of Censinet, a company focused on healthcare cybersecurity and third-party risk management. With more than 25 years of software and technology leadership experience, Ed has held executive roles spanning product, marketing, and sales at companies including Imprivata, Liquid Machines, IONA Technologies, Rational Software, and SQA, Inc. At Imprivata, he served as CMO and later business unit GM, leading the creation of Imprivata Cortext, a cloud-based clinical communications platform recognized as best-in-KLAS. Ed holds multiple patents in mobile authentication, secure content sharing, and distributed data management, and he is a recognized speaker on leadership, healthcare, and regulatory compliance. 

On this week's episode of That Tech Pod, we sit down with Michel Langlois, a longtime engineering leader whose career spans the rise of modern networking, from scaling Cisco’s IOS platform to leading as CTO at Calix. He joins us to cut through the noise around AI in network security and talk about what’s actually happening under the hood.

We get into how AI is actually being used inside modern networks, replacing work that once depended on experienced engineers, and where it’s truly improving operations versus where it’s still overhyped. That naturally raises the bigger question: is AI making network engineers better, or starting to replace parts of the role? We also explore the growing risk to telecom and broadband infrastructure, how exposed access networks really are, and whether the industry is taking those threats seriously enough, along with whether AI is reducing alert fatigue or just creating smarter noise. To close, Michel shares lessons from decades of building and leading engineering teams, including how to keep AI efforts focused on real outcomes instead of endless experimentation, and what it takes to actually bring these technologies into production at scale.

Michel Langlois has spent nearly four decades at the center of network innovation, helping scale some of the most important software platforms in modern connectivity. At Cisco Systems, he helped build and lead the global IOS engineering organization as the company grew from a $1B business to more than $40B. At Juniper Networks, he overhauled Junos software development to improve speed, quality, and scale. And during a decade as CTO at Calix, he helped reshape the company’s product strategy and engineering culture, contributing to a fourfold increase in revenue and a tenfold jump in market cap.
Today, Langlois advises CEOs and boards during key growth inflection points, helping companies scale without breaking their engineering core. A Forbes Tech Council contributor and author of the Amazon bestseller Beyond the Code, he focuses on the intersection of AI-driven networking, cloud transformation, and organizational design.

This week Laura and Kevin sit down with Bruno Lecoq, CEO of BEMO, to talk about the reality of cybersecurity for small and mid-sized defense contractors. Bruno shares how he ended up leading a cybersecurity company and why smaller organizations, especially those connected to the defense supply chain, have become some of the most attractive targets for attackers. The conversation challenges the common belief that hackers only focus on big-name companies and instead explains what’s actually happening on the ground for organizations with 50 to 100 employees.  

From there, we dig into the difference between security theater and real protection. Bruno explains why fear-driven compliance advice often leads companies to spend more money without meaningfully reducing risk, who benefits from that cycle, and where organizations tend to invest in tools that look impressive but don’t actually stop breaches. We also get into practical issues leaders overlook, like admin access and identity controls, which are often the simplest path into a company network. We wrap with a candid look at real-world constraints. If a company passes every audit but still gets breached, what does that say about compliance frameworks like CMMC, SOC 2, and NIST SP 800-171? And looking ahead, Bruno weighs in on what’s more likely to cause damage over the next five years: sophisticated AI-powered attacks or companies continuing to ignore the basic security controls that stop most breaches today.

Bruno Lecoq is the CEO of BEMO and a trusted voice in cybersecurity compliance for US-based small and mid-sized defense contractors. He works hands-on with business owners, IT leaders, and executives to turn complex regulatory frameworks into practical, achievable compliance outcomes. With deep expertise across CMMC, SOC 2, ISO 27001, HIPAA, and NIST 800, Bruno is known for his calm, implementation-first approach. Rather than promoting fear or over-engineered solutions, he helps organizations align compliance requirements with the tools, processes, and systems they already use, particularly within Microsoft environments.

In this special Legalweek recap episode Laura and Kevin unpack everything that stood out at Legalweek 2026 in New York. This year’s conference felt different from the start. For the first time in decades, Legalweek moved from the Hilton to the Javits Center, giving the event a much larger, more energetic feel and bringing together thousands of lawyers, technologists, and legal operations professionals to talk about where legal tech is heading next.

A big theme throughout the week was the shift from AI hype to real-world use. Vendors and practitioners alike are moving past the early experimentation phase and focusing on how artificial intelligence actually fits into litigation workflows, document review, and investigations. Kevin and Laura share what they heard on the conference floor about the changing eDiscovery market, and how the growing complexity of legal matters is increasing the value of experienced teams alongside new technology. 

The episode features conversations with industry leaders including Joey Seeber of Level Legal and Bryant Gauthier of PLUSnxt, who share their perspectives on where AI is genuinely helping legal teams and where expectations still outpace reality. We also pulled aside Dan Bellopede from Mitratech for a quick chat on his thoughts on the conference. Along the way, we cover the lighter side of the conference: creative booth marketing, the surprisingly weak swag this year, the parties and the conversations that make Legalweek as much about relationships as technology.

If you couldn’t make it to Legalweek this year, this episode offers a candid look at what people were really talking about, what trends actually matter, and how the legal tech industry may be evolving heading into the next year.

In this episode of That Tech Pod, Kevin and Laura sit down with IT entrepreneur Rob Calvert, founder of Second Son Consulting and a longtime leader in the Apple enterprise ecosystem. After being laid off in the early 2000s, Rob built his consulting firm from a home office into the largest member of the Apple Consultants Network in Los Angeles and one of the top firms in the country. Drawing on more than 25 years advising companies across dozens of industries, he shares a grounded look at what actually makes technology succeed or fail inside real organizations. The conversation even opens with an unexpected detour into “Punch the monkey,” a viral zoo story that sparks a debate about how easily people question or misread what they see online in the age of AI (Laura swears this is a real monkey while Kevin thinks its GenAI to sell toys).

From there, the conversation explores why most people only notice IT when something breaks and how that mindset leads to bad leadership decisions. Rob argues many “tech problems” are really culture and workflow problems, pointing to common mistakes like letting experimental tools quietly become production systems or constantly chasing new platforms without fully implementing the ones already in place. The result is wasted budgets, burned-out IT teams, and systems that drift away from how people actually work. They also get into the Mac vs. PC debate in the enterprise, the subtle ways companies waste millions in IT spending, and the gap between AI hype and real business impact. Rob says many small and mid-sized companies are spending a lot of time evaluating AI tools but seeing very little return so far, while larger organizations may eventually benefit through heavy customization. At the end of the episode, Rob finally agrees to go look up Punch the monkey. 🐒

Rob Calvert is an entrepreneur and IT leader who has spent more than 25 years helping businesses make technology actually work for the people using it. After being laid off in the early 2000s, Rob Calvert built Second Son Consulting from his home office into the largest member of the Apple Consultants Network in Los Angeles and a top-ten firm nationwide. His work focuses on aligning technology with workflows and culture rather than treating IT as a standalone function, and his team has created widely used open-source tools for the Mac admin community. Rob has advised companies across more than 15 industries, managed millions in IT budgets, and is known for challenging cookie-cutter approaches to IT in favor of systems that support how people actually work.

In this episode of That Tech Pod, we sit down with Dr. Jonathan Schaeffer, a longtime computer scientist who didn’t arrive in AI chasing demos or hype, but by trying to solve a much harder problem: how to keep data safe.

Jonathan walks us through his path from privacy and security research into modern AI, and why those early concerns feel even more urgent now. While everyone is fixated on hallucinations, he argues the bigger risks are quieter and more structural, from loss of user control to systems that appear trustworthy while subtly eroding human judgment. We dig into the growing concentration of AI power among a handful of companies and whether that outcome was inevitable or the result of choices we made along the way. Jonathan reflects on the human skills he worries we may stop exercising as AI gets better, and the low-key decisions happening right now that could shape the next decade far more than any flashy model release. Finally, he shares what he’s building with Synsira: privacy-first, local AI tools designed to work with your own data without shipping it to the cloud, leaking sensitive information, or inventing answers. It’s a conversation about control, responsibility, and what trustworthy AI actually looks like when you have to live with it.

Dr. Jonathan Schaeffer is a computer scientist and AI innovator who works at the intersection of artificial intelligence, data privacy, and security. He is the founder of Synsira and the creator of KIND, (Knowledge In Depth AI), a privacy-first desktop AI that lets users search, analyze, and interact with their own knowledge bases, documents, notes, and proprietary data, without sending information to the cloud, risking data leaks, or encountering hallucinations. With a career spanning systems design and secure computing, Jonathan focuses on building AI tools that maintain true control over sensitive and regulated data, exploring what responsible, trustworthy AI looks like in practice and how organizations can innovate without surrendering autonomy. He earned his Bachelor of Science at the University of Toronto and a Master’s and Ph.D. at the University of Waterloo, then spent more than 35 years at the University of Alberta as a Distinguished Professor of Computing Science, leading pioneering AI research before retiring in 2024 to focus on AI innovation with Synsira.

AI is no longer just a background tool. It’s drafting contracts, reviewing discovery, sending emails, negotiating deals, and triggering real-world consequences. In this episode of That Tech Pod, Laura and Kevin unpack what happens when AI starts behaving less like software and more like an employee. If an AI clause costs a company millions, misses privileged evidence, or sends sensitive information to the wrong place, who’s actually on the hook?

The conversation moves from AI as a de facto junior associate to the harder questions around liability, governance, and oversight. They explore why AI can have autonomy but no accountability, how risk gets assigned when things go wrong, and why companies are almost always left holding the bag. Then the discussion takes a turn: what happens when AI isn’t just assisting humans, but coordinating them, managing tasks, and using people as a quality-control layer?

The episode closes with a bigger debate about power, psychology, and work itself. If software is now supervising humans, assigning tasks, and shaping outcomes, are organizations ready for that shift? And if AI is doing the work while humans carry the legal risk, is that imbalance sustainable? The most dangerous AI may not be the one that replaces people, but the one that quietly manages them.

In this Valentine’s Day episode of That Tech Pod, Kevin and Laura talk with fertility specialist Gabriela Rosa about how having a baby has quietly become a technology story. From IVF and genetic testing to telehealth and wearable data, modern fertility is increasingly shaped by algorithms, platforms, and private equity–backed clinics. What most people picture as love and biology is now deeply intertwined with data and systems most patients barely see.

The conversation starts with privacy and data ownership. Fertility and genetic data may be some of the most sensitive information a person can share, and once it’s collected, it often lives on indefinitely. We debate insurance risks, data monetization, and whether patients truly understand what they’re consenting to when they download an app or join a study. Gabriela explains that while ethical safeguards exist, there are no absolute guarantees in a world where data itself is an asset. Perhaps the biggest mic drop moment: IVF, widely seen as the gold standard, has a failure rate north of 90% per cycle started. Gabriela argues that technology should support the body, not bypass it, and that root causes like infections, lifestyle factors, and overlooked health issues are often ignored before patients are fast-tracked into expensive treatments. Her book, Fertility Breakthrough, expands on this approach and is available here: https://www.fertilitybreakthrough.com/

Gabriela Rosa is a Harvard-trained and awarded fertility specialist, founder and CEO of The Rosa Institute, and a global leader in integrative fertility care. For more than 20 years, she has helped individuals and couples around the world overcome infertility, miscarriage, and failed treatments by combining rigorous clinical research with personalized, root-cause medicine. Her work has been studied at Harvard and published in scientific forums, with research showing a 78.8% live birth rate among patients in her signature program. Gabriela holds graduate degrees in reproductive medicine, human genetics, and public health, is currently completing her Doctor of Public Health at Harvard, and leads one of the world’s first telehealth-based fertility clinics, serving patients across more than 100 countries.

On his episode of That Tech Pod, Kevin and Laura sit down with Ray Biederman, CEO and Co-Founder of Proteus Discovery Group, to talk about what actually happens when legal theory, technology, and human behavior collide. Ray walks through his unusual path from music education to law to legal tech, and how that background shaped the way he thinks about systems, judgment, and risk. Rather than chasing hype, he explains why Proteus focuses on defensible outcomes and practical decision-making in a crowded eDiscovery market.

The conversation gets into lessons Ray has learned by wearing every hat, product builder, services leader, and still-practicing attorney. He shares what courtroom experience teaches that product teams often miss until something breaks, especially around context, intent, and how small mistakes compound once data starts moving. Ray also offers a measured take on AI-driven review, warning against the industry’s tendency to overcorrect by trying to remove human judgment entirely, and highlights the ethical tensions that surface when AI reveals patterns no one anticipated. The episode closes with a forward-looking discussion on deepfake evidence, verification challenges, and the growing risk posed by data traveling across too many systems without enough accountability. 

Ray Biederman, Chief Executive Officer and Co-Founder of Proteus Discovery Group, LLC, has worked in every phase of electronic discovery for more than two decades. He is a Super Lawyer in the area of eDiscovery, has been cited in multiple court opinions as an expert witness, and is adjunct faculty for eDiscovery at the IUPUI School of Informatics and Computing. He consults on Information Governance policies and procedures related to cybersecurity and its intersection with government regulation and industry-specific best practices. Outside of his eDiscovery experience, Ray is an active litigator representing clients in product liability work, business valuation disputes, and contract disputes. He is also a founding partner in Mattingly Burke Cohen & Biederman. He was previously an associate at Barnes & Thornburg, LLP. He holds a B.M. in Music Education from Butler University and a J.D from Indiana University, the Robert H. McKinney School of Law.

This week Laura Milstein and Kevin Albert are joined by Nick Schutt, entrepreneur, executive leader, and host of Robots and Red Tape, for a candid conversation that starts with hiring and quickly widens into how tech is reshaping work and society. Nick breaks down why even highly qualified candidates are struggling in today’s government and contracting job market, pointing to market saturation, contract cuts, and shifting priorities across federal and consulting spaces.

The conversation moves into how AI is showing up in resumes and interviews, and why that often misses the point. Nick shares his approach to hiring people rather than skill sets, arguing that personality, judgment, and cultural fit matter far more than perfectly polished, AI-assisted answers. Laura and Kevin add their own experiences managing teams and navigating the risks of overselling versus honest capability. The episode closes by zooming out to the broader impact of technology on human connection, especially for younger generations. From online-only communication to AI companions and education, the group wrestles with where tech genuinely helps and where it quietly erodes essential social skills. The takeaway is clear: AI can be a powerful tool, but it can’t replace human relationships, accountability, or lived experience.

Nick Schutt is a serial entrepreneur and executive leader who has built and scaled multiple organizations serving both government and commercial clients since founding his first company in 2016. He currently serves as President of Artemis Human Capital Management and Executive Vice President at EVLG Solutions, where he leads IT modernization, infrastructure, and advanced technology initiatives for federal, state, and local agencies. Nick is also the co-founder of Collabulations and the host of Robots and Red Tape, a podcast focused on practical, experience-driven conversations about AI, policy, and governance. The show cuts through hype to explore how AI is actually being built and used today, the real-world consequences that come with it, and the government’s evolving role as both regulator and major customer of emerging technology.

On this episode of That Tech Pod, we talk with Logan Lawler, Senior Director at Dell Technologies, about what it takes to make AI actually work in the real world. Logan shares his 16-year journey at Dell and why his focus today is less on hype and more on practical infrastructure choices that enable AI at scale.

We break down Edge AI versus Cloud AI with clear, concrete examples, including how GPU-accelerated desktops, workstations, and hybrid cloud setups can turn “that’s impossible” AI problems into manageable ones. Logan also highlights why storage, not compute, is often the biggest bottleneck, and the common mistakes organizations make when data can’t keep up with GPUs. The conversation gets into energy and sustainability, from the environmental cost of massive data centers to what it means when nuclear power and AI collide. We also explore the human side of AI: whether instant answers are making us lazier, why struggle is still essential for learning, and how that idea shows up in parenting, education, and work. We close with real-world edge AI success stories, a few cautionary tales, and some lighter moments, making this a grounded discussion on AI, infrastructure, and the tradeoffs we rarely talk about.

Logan Lawler works at Dell Technologies, where he leads strategy for Dell Pro Precision AI Solutions. Over his 16-year career at Dell, he’s worked across sales, marketing, and e-commerce, and now helps enterprises and creative studios leverage high-performance AI workstations and hybrid cloud infrastructure. A frequent speaker and media guest, Logan explains how GPU-accelerated PCs and storage solutions are transforming industries from film and animation to healthcare research. Logan was raised in Missouri and is a graduate of the University of Missouri. He now lives in Texas with his family.

This week on That Tech Pod, Laura and Kevin sit down with Cindy Cohn, Executive Director of the Electronic Frontier Foundation, to talk about the power structures hiding in plain sight across the internet, money, surveillance, and AI. Cindy breaks down what EFF actually does and why access to the internet is not just an infrastructure problem, but a civil liberties issue that shapes who gets heard, who gets tracked, and who gets left out.

We get into how mass surveillance quietly became normal, from license plate readers to cell phone tracking, and why most people would be genuinely shocked if they saw the full picture. We also look ahead at financial surveillance, using Europe’s move toward a Digital Euro as a case study, and ask where legitimate oversight ends and control begins. On the AI front, Cindy pushes back on the idea that privacy is already lost, and explains why treating opaque systems as inevitable only benefits the most powerful actors. Cindy makes a clear case that defending digital rights does not require being a technologist or a lawyer. It starts with staying skeptical, asking hard questions, and refusing to accept tools we are not allowed to understand or challenge. That is exactly why this conversation mattered, and why we were so glad to have her on.

Cindy Cohn is the Executive Director of the Electronic Frontier Foundation and previously served as EFF’s Legal Director and General Counsel from 2000 to 2015. She has been involved with EFF since 1993, when she served as lead outside counsel in the landmark Bernstein v. U.S. Department of Justice case, a successful First Amendment challenge to U.S. export restrictions on cryptography. Her work has been widely recognized, with honors from Forbes, The National Law Journal, and The NonProfit Times for her influence in technology, law, and civil liberties. She is also the co-host of EFF’s podcast, How to Fix the Internet, and the author of Privacy’s Defender, published by MIT Press. More information about the book can be found at https://mitpress.mit.edu/9780262051248/privacys-defender/

Today Kevin and Laura chat with Bala Muthiah, Director of Engineering at Lyft, to talk about what leadership looks like when your product moves real people through the real world. Bala walks through his path from immigrating to the U.S. to leading teams that make real time decisions for millions of riders and drivers, and how those early experiences shaped his views on power, responsibility, and trust in technology.

We talk about what privacy and safety actually mean at Lyft’s scale, where data is not abstract and mistakes have real consequences. Bala is candid about where rideshare platforms have improved, where the industry still struggles, and how leaders decide where to draw hard lines around data use even when the tech makes more possible. The conversation also gets into the human side of engineering. How do you push for speed and performance while building teams that care about ethics, psychological safety, and consent? Bala shares how Lyft uses AI to surface collaboration risks, why that can feel uncomfortable, and how transparency and boundaries matter just as much as capability.

Bala Muthiah is the Director of Engineering at Lyft, where he leads teams that power real‑time decision systems for millions of users. An immigrant from India turned Silicon Valley leader, he’s also a startup advisor, nonprofit board member, and mentor across multiple platforms. Bala blends technical expertise with people‑first leadership and community impact—showing how to scale teams, startups, and even personal growth with empathy, innovation, and AI.

This week on That Tech Pod, Laura and Kevin chat with Richa Kaul, founder and CEO of Complyance, for a blunt conversation about what governance, risk, and compliance actually are, and why so many companies pretend it’s something else.

Richa walks us through how she really landed in GRC, including the moment she realized compliance isn’t about forms or frameworks. It’s about power, incentives, and who takes the fall when systems fail. Drawing on her time in legal tech, enterprise systems, and AI, she makes the case that much of today’s compliance model is quietly broken, and that organizations know it, even if they won’t admit it.  We dig into why GRC has such a credibility problem, the comforting lies companies tell themselves about being “compliant,” and whether compliance should be about control or trust, and why so many leaders default to the wrong one. Richa also weighs in on whether “move fast and break things” is actually gone, or just better disguised in the age of AI. We close with a forward-looking conversation on AI risk, including the uncomfortable questions boards avoid, why training alone won’t fix reckless AI use, and what organizations should be paying attention to next if they want governance that actually works.

Richa Kaul is the founder and CEO of Complyance, an AI-powered GRC platform helping enterprises navigate governance, risk, and compliance with ease. She previously held leadership roles in legal and compliance technology, including helping scale global solutions at ContractPodAI. Richa focuses on how companies can move beyond checkbox compliance to build systems that actually support better decisions, accountability, and trust as AI becomes more embedded in the enterprise. She is passionate about the future of compliance, the role of AI in governance, and the challenges of scaling a company in enterprise tech. Her innovative approach combines deep technical expertise with strategic business acumen, making her a sought-after thought leader in the GRC space.

As we announced last week, this month on That Tech Pod, we’re changing things up a bit. Instead of our usual deep dives into eDiscovery, data privacy, and cyber security, this December, we're spotlighting people and organizations using technology to close real gaps in opportunity. 

In this episode, we sit down with Savita Raj, the CEO of Techbridge Girls, to talk about what it really takes to help girls from underrepresented communities see themselves in STEM. Savita cuts through the buzzwords to explain why the pipeline problem is still very real in 2025, even as AI races ahead, and why access is about far more than programs. It’s transportation, time, family expectations, early exposure, and a sense of belonging.

The conversation gets candid about the gap between industry rhetoric on diversity and who actually makes it through. Savita shares what funders and tech leaders often miss about hidden barriers, and why the rise of AI and automation makes sustained investment in programs like Techbridge Girls more urgent than ever.

If you want to support Techbridge Girls, you can donate directly at https://www.techbridgegirls.org/donate to help bring high-quality STEM experiences to girls from underrepresented communities, or explore ways to get involved like volunteering, mentoring, or partnering at https://www.techbridgegirls.org/get-involved to make a more hands-on impact.

Savita Raj, is the CEO of Techbridge Girls. Techbridge Girls is a nonprofit focused on opening doors to STEM for girls from underrepresented communities through hands-on learning, mentorship, and exposure to real-world careers. The organization works closely with schools and industry partners to help girls build confidence, skills, and a lasting sense that they belong in science and technology. Savita has decades-long experience in leadership, strategy, and fundraising focused on creating equitable STEM programs in underserved communities. An engineer by training, Savita has served as the Chief Program Officer for Girl Scouts of the USA and as the Executive Director for the Texas Alliance for Minorities in Engineering. She lives in Austin and enjoys traveling, reading, sewing, and baking.

This December, That Tech Pod is shifting gears a bit. Instead of our usual deep dives into eDiscovery, privacy, and security, we’re using the next few pods to spotlight leaders and organizations using technology to close real gaps in opportunity. These episodes are about mission, access, and impact, and what it looks like to build pathways into tech from the ground up.

In this episode, Laura and Kevin talk with Danny Rojas, Executive Director of All Star Code, about why the organization’s work supporting young Black and Latino men matters right now. Danny talks about the barriers that often go unseen, from unequal access to early exposure and networks to the challenge of learning long-term skills in an attention-driven world. He also shares his own path through corporate, startup, and nonprofit leadership, and how that journey shapes the way he leads today. The conversation looks at what really drives long-term impact beyond learning to code, including mentorship, confidence, community, and industry exposure. Danny also speaks about why access, timing, and sponsorship still matter more than talent alone.

You can learn more about All Star Code's programs, get involved, or make a donation at https://allstarcode.org. To contribute directly, please visit https://allstarcode.org/donation. Your support helps expand access to tech education, mentorship, and career pathways for the next generation of innovators.

In this episode, Laura and Kevin chat with Walter Haydock, whose path from Marine intelligence to Capitol Hill to AI governance gives him a rare view of what “security” actually means in the age of AI and generative models. Walter talks about why he thinks governance is becoming the next real defense layer, and how to sort actual AI risks from the odd glitches everyone loves to talk about. He breaks down common myths he hears from non-tech folks, what recent cloud outages say about the shortcuts companies take, and whether the latest hospital ransomware attacks signal a true AI-driven threat wave or just better marketing from bad actors. 

We also get into the personal side: what feels high-stakes after years in national security, and which unexpected habits from that world turned out to be useful in tech. Walter closes by looking ahead at what might trigger the first serious AI crackdown in the U.S. and whether a federal AI law is finally on the horizon. It’s a grounded, candid look at where the field is headed from someone who’s seen the stakes up close.

Walter Haydock is the Founder and CEO of StackAware, where he helps AI-driven companies handle cybersecurity, privacy, and compliance risk. He’s one of the leading voices on ISO 42001 and has guided organizations through the audit process as AI governance becomes a core part of security. Before building StackAware, Walter worked in national security as a staff member on the House Homeland Security Committee, an analyst at the National Counterterrorism Center, and a Marine Corps intelligence officer. He’s a graduate of the Naval Academy, Georgetown’s School of Foreign Service, and Harvard Business School.

This week’s post-Thanksgiving episode is a full smorgasbord of random stories, internet rabbit holes, and tech-adjacent tangents. Laura and Kevin skip the usual guest and run through a pile of listener-requested topics. They start with the viral Tinder profile of a man who openly admitted to abusing women yet pulled in more than 800 matches, which leads them into the strange world of dating-while-incarcerated sites. From there, they jump to Japan’s businesses that help people legally disappear without a trace, and how that even works in a world where everything leaves a digital footprint. Things keep escalating, including a true story about a man who robbed a bank to get away from his wife, only to be sentenced to house arrest. It’s messy and funny and they somehow still land the plane with a tech angle at the end. Perfect listening if you want something light but still genuinely interesting after the holiday.

This week on the pod, Laura and Kevin sit down with Janna Scott, founder of DeFi Tax, to unpack one of crypto’s most confusing and controversial topics: taxes. Janna shares how she went from frustrated accountant to tech founder after realizing how broken the crypto tax ecosystem was. She explains why the IRS treats digital assets differently than stocks, how compliance rules can border on entrapment, and what it will take for fairer regulation to emerge. 

We talk about the darker side of crypto: market manipulation, whales, and whether regulation is actually working or just pushing bad behavior further underground. Through it all, Janna brings a mix of technical insight and practical insight, reminding us that the hardest part of crypto isn’t the technology, it’s the system built around it. Between murky IRS rules and hidden market forces, it’s easy to understand why so many investors feel lost or opt out. But as Janna makes clear, accountability isn't out of reach. You just have to do the math. 

Janna Scott is the founder of DeFi Tax, a platform bringing clarity and compliance to cryptocurrency tax reporting. Her journey began in 2021 after her accounting clients raised concerns about unreliable crypto tax tools. Over the next two years, Janna collaborated with the SEC, IRS, and top universities to identify and fix major compliance gaps. Her work set new standards in the field and earned recognition from regulators and academics. Today, DeFi Tax is known for its audit-ready reports, direct blockchain integration, and user-focused design. Janna’s mission is to help individuals and businesses navigate crypto taxes with confidence and transparency.

In this episode, Dr. Ashwin Mehta joins us to talk about how AI is quietly changing the way we think, learn, and make decisions. Drawing from his global career in pharma, government, and consulting, from building digital learning systems in West Africa to leading AI strategy at Bayer — Ashwin shares why he’s dedicated his work to keeping the “human” at the center of technology.

We explore how trust in AI can evolve from confidence to dependency, what “agentic AI” really means for the future of work, and the mental habits we risk losing as machines start thinking for us. Ashwin also reflects on what he still refuses to let AI handle, and why maintaining human judgment may be the ultimate competitive edge in an increasingly automated world.

Dr. Ashwin Mehta helps organizations adopt AI in ways that put people first. With a PhD in digital learning adoption and over 20 years across pharma, government, consulting, and international health, he focuses on the intersection of technology, human capital, and transformation. His experience includes leading AI-enabled learning at Bayer, advising enterprises and governments at Deloitte, and building digital training systems in West Africa during crises.

As founder of Mehtadology, Ashwin designs AI strategies that align technology with human potential, covering topics from large language models to intelligent automation while addressing readiness, infrastructure, and culture. His research and writing offer insights on adaptive learning, AI ROI, and the cognitive impacts of delegating decisions to machines.

In this episode of That Tech Pod, we get into the next industrial revolution,  Industry 5.0, where technology and people work together instead of competing for the same space. Shay Howe, Chief Strategy Officer at ActiveCampaign, joins us to unpack how automation is evolving from efficiency-driven systems to human-centered collaboration.

We explore how the relationship between humans and machines is shifting from replacement to augmentation, and what that means for marketers, entrepreneurs, and the future of work. Shay shares real examples of automation that make marketing more personal, not less, and explains why technologies that enable creativity, empathy, and ethics will define the next era of innovation. The conversation covers everything from data transparency and responsible AI to how automation might create entirely new industries, just like cars once did for roads, dealerships, and repair shops. Along the way, Shay draws lessons from The E-Myth and The Innovator’s Dilemma to remind us that disruption always brings opportunity. The big takeaway? Industry 5.0 isn’t about replacing humans, it’s about empowering them. When used thoughtfully, automation can give people more time to focus on creativity, connection, and strategy. The future of marketing belongs to those who design technology that amplifies human potential.

Shay Howe is the Chief Strategy Officer at ActiveCampaign, where he drives the company’s corporate strategy, new product lines, corporate development, and strategic partnerships. He has previously held leadership positions across marketing, product, and design, and his product-led growth approach has helped scale the company into a global tech unicorn. Prior to ActiveCampaign, Shay was Vice President of Product at Belly and Yello, where he was responsible for product strategy and design. He previously led product teams at multiple high-growth companies, including Groupon, and has held in-residence roles as an advisor with Techstars, Lightbank, and Prota Venture portfolios. Shay’s passion for building teams extends outside of work, as he also serves as a mentor with Techstars and LongJump Ventures.