The Amplitude of Tech

Welcome to The Amplitude of Tech podcast, produced by Amplix, a leading technology advisory firm, where we bring the voices of technology thought leaders, subject matter experts, and enterprise IT decision makers to you to talk about today’s transformative technology and how it can create opportunities for increased success.

The Amplitude of Tech is a technology podcast hosted by Amplix, with 37 episodes on record and a Required Pod Score of 80.

Amplix hosts The Amplitude of Tech, a technology show with 37 episodes published.

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  The Amplitude of Tech

  Is the Hate for AI Data Centers Rational? We Separate Fact from Fiction with Zayo's Ed Loveless

  Sep 29, 20261h 28m

  AI has quickly become one of the most divisive issues in America, and nowhere is that more visible than in the fight over data centers. In this episode, Shawn sits down with Ed Loveless, Head of Product for Managed Edge & Cybersecurity at Zayo, to separate the rational fears from the irrational ones. Drawing on nearly two decades in telecom infrastructure, Ed walks through why AI data centers look and feel different from the cloud data centers that came before them, what's actually driving up energy costs, whether the water usage panic holds up to scrutiny, and why community backlash may ultimately make the industry build better. They also tackle the harder question looming over the whole AI boom: whether the economics underneath it can hold. What You'll Learn: Why AI data centers look and feel fundamentally different from the cloud data centers we've relied on for years What's actually driving up your energy bill, and how much of it is really AI's fault Why "it takes a lake of water to generate one AI image" doesn't hold up as a universal truth How community leverage has shifted, and why data center operators now have to earn a seat at the table The nuclear power lesson from the last 60 years, and what it means for how AI infrastructure gets built (or blocked) Why atomizing compute into smaller, localized data centers could ease the backlash, and where that approach breaks down Whether the economics underneath the AI boom, from chip supply to enterprise ROI, can actually hold up What Ed would tell an average citizen who's never thought about any of this before, but just found a data center in their backyard

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  The Amplitude of Tech

  Amplix Sr. Solution Engineer Michan Griffin on Branded Caller ID and the Trusted Voice Problem

  Sep 23, 202623 min

  Your business's phone number has a reputation score, and if it slips, your calls start showing up as "spam likely" even when you're a legitimate, high-trust business trying to reach your own customers. In this Inside Amplix episode, Shawn sits down with Michan Griffin, Sr. Solution Engineer at Amplix, to unpack how number reputation management actually works, from the FCC's Robocall Task Force and STIR/SHAKEN attestation levels to the crowdsourced spam-scoring companies that carriers rely on today. They cover why healthcare and other high-volume transactional callers get unfairly flagged, how spoofing and caller ID authentication work under the hood, and how branded caller ID and logo delivery can turn an anonymous incoming call into a recognizable, trusted one. Michan also lays out the first steps any business should take if their answer rates start dropping, before they make the problem worse trying to fix it alone. What You'll Learn Why your phone number has a hidden reputation score, and what tanks it without you knowing How the FCC's Robocall Task Force and STIR/SHAKEN attestation levels (A, B, and C) actually work Why healthcare and other high-volume transactional callers get unfairly flagged as spam How caller ID spoofing works, and what session border controller-based spoof protection actually stops What branded caller ID and logo delivery can do for your answer rates, and how they differ from each other How inbound robocall blocking protects vulnerable populations, like residents at assisted living facilities The first two steps to take the moment your business starts seeing dropped answer rates, before you make it worse

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  The Amplitude of Tech

  Expedient CEO Bryan Smith on Why Time Is Running Out on VMware and Costs Are Going Up in AI

  Sep 16, 20261h 13m

  There's a budget deadline coming that most IT teams haven't planned for: the VMware Cloud Foundation cutover in October 2027, when unsupported vSphere environments fall out of compliance with SOC, PCI, and HIPAA, and hardware lead times mean the window to act is closing fast. In this episode, Shawn sits down with Bryan Smith, CEO of Expedient, an intelligent infrastructure provider offering private cloud, data center, and AI as a service, to unpack what that cliff actually means and why most enterprises are further behind than they realize. From there, the conversation turns to a second budget problem hiding in plain sight: AI spend. Bryan breaks down why companies keep blowing through a year's AI budget in months, how shadow AI and unmanaged agentic workflows quietly drive costs up, and how least cost model routing and real observability (treating AI agents like employees who need management, not tools you switch on) can bring AI spend back under control. If VMware and AI costs are both sitting on next year's budget, this episode maps out where to start on both. What You'll Learn: Why the VMware Cloud Foundation cutover in October 2027 isn't a normal upgrade, and why it requires a full re-architecture instead How falling out of vSphere support puts SOC, PCI, and HIPAA compliance at risk, and what that means for cyber insurance and client contracts Why most enterprises are further behind on VMware planning than they realize, and what the real migration timeline looks like once hardware lead times are factored in Why companies keep blowing through a year's AI budget in months, and what the "build phase" versus "run phase" of AI spend actually means How shadow AI and unmanaged agentic workflows quietly drive up consumption without anyone noticing What least cost model routing is, and how it can cut AI spend without cutting output quality Why treating AI agents like employees who need management, not tools you switch on, is the mindset shift most companies are missing How to build the observability and governance layer that lets you actually control AI costs instead of just watching them climb

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  The Amplitude of Tech

  Amplix VP Tommy Mullins on Agent Assist, Virtual Agents, and What Is Actually Working in AI

  Sep 9, 202625 min

  CX leaders are being held to real business outcomes now in a way they weren't a few years ago, and AI has only sped up the timeline for proving it. In this Inside Amplix episode, Shawn sits down with Tommy Mullins, VP of Operations and Service Delivery at Amplix, to unpack what separates AI initiatives that deliver ROI from the ones that stall out. They cover why an AI readiness assessment (getting data and processes right) matters more than the platform itself, the four traits of successful implementations (executive sponsorship, defined outcomes, change management, and post-go-live planning), where agent assist and virtual agents are actually paying off today, and why going live is the starting line, not the finish line. Tommy also shares lessons from over 400 AI implementations, including the mistakes that turn a technically successful project into one nobody actually uses. What You'll Learn: Why "accountability" is the word defining CX leadership right now, and what CFOs and CEOs are actually asking for The four traits every successful AI implementation shares, starting with executive sponsorship Why an AI readiness assessment (clean data, clean processes) matters more than which platform you choose How to build a defensible case against automating faster just because leadership is asking for it Why agent assist is the fastest, cleanest path to AI ROI right now What separates a virtual agent that works from one customers try to escape Why go-live is the starting line, not the finish line, and what happens in the gap that follows

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  The Amplitude of Tech

  From CX to Total Experience: Ricki Lang on Behavioral Data and Human-in-the-Loop AI

  Sep 2, 20261h 22m

  Customer experience, digital experience, employee experience, and user experience are usually treated as separate disciplines, but Ricki Lang argues they're really one thing wearing four hats. In this episode, Shawn sits down with Lang, VP of Telecommunications, Media and Entertainment at Quantum Metric and former product and engineering leader at Comcast, to unpack what she calls total experience: the idea that every friction point, whether it's a bad cancellation flow, an unhelpful chatbot, or a frustrated frontline employee, traces back to the same underlying systems and processes. They dig into digital containment, why click-to-cancel regulation exposed which companies actually value their customers, when automation helps versus when it makes a bad process worse, and why human-in-the-loop isn't a safety net but a proactive guardrail. It's a practical look at how CIOs, CISOs, and CX leaders can stop treating symptoms and start fixing root causes. What You'll Learn: Why CX, DX, EX, and UX are really one connected "total experience," not four separate disciplines What digital containment is and why keeping customers in your cheapest, most consistent channel matters How click-to-cancel regulation exposed which companies actually design for customer trust Why automating a broken process just makes you "bad faster" instead of fixing the real problem How behavioral data (not surveys) reveals what customers actually do versus what they say they want Why human-in-the-loop should be a proactive guardrail, not just a safety net for AI decisions How MCP is compressing weeks of legacy system analysis into minutes for enterprise teams Why observability, not just automation, is the biggest blind spot in most AI implementations

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