Between Fires and Futures: Real Conversations for Tech Leaders Navigating What’s Now—and What’s Next

What if the technology decision that saved your company money three years ago is the very thing slowing your growth today?In this season two finale of Between Fires and Futures, Tonya sits with Corey Wisdon to unpack one of the biggest hidden problems in mid-market IT: the long-term cost of “cheap and fast” infrastructure decisions.Corey shares the story of a $3 million enterprise deployment that took eight months before users could even log in, and how that experience completely changed the way he approaches IT strategy, ServiceNow implementations, and AI adoption today. They also dive into the surprising reality behind enterprise deployments, the burnout happening on service desks, and why simplicity, integration, and long-term thinking matter more than ever in 2026.Tune in to hear: Why the “fast and cheap” IT decision often becomes the most expensive one later  The hidden costs of fragmented tool stacks and over-customized platforms  What really causes enterprise deployments to stall after go-live  Why many organizations are failing to see ROI from AI tools  The biggest mistakes companies make when rolling out AI internally  How poor governance creates “agent sprawl” inside organizations  Why mid-market companies are underserved by enterprise IT vendors  The difference between ticketing systems and scalable enterprise platforms  How RL Canning’s hosted ServiceNow model gets organizations live in just 45 days  The importance of roadmap thinking instead of reactive technology purchases  Why simplicity is becoming the most important strategy in modern ITConnect with Corey: https://www.linkedin.com/in/corey-wisdom-553a1611/https://www.linkedin.com/company/rl-canning/https://app.technologymatch.com/solutions/servicenow

AI is moving fast, but most leaders aren’t talking enough about the human side of what this moment is actually creating inside organizations: fear, uncertainty, imposter syndrome, and the pressure to adapt in real time. In this conversation, Tonya sits down with leadership coach and business strategist Raheela Nanji to unpack what leadership really looks like in the AI era and why the biggest challenge organizations face right now isn’t the technology itself. It’s how leaders guide people through the uncertainty surrounding it.Drawing on more than 25 years of experience across technology, marketing, and business leadership, Raheela shares what she’s seeing behind the scenes inside organizations navigating AI adoption, from confusion and panic to innovation and possibility. Together, they explore why psychological safety, empathy, curiosity, and communication are becoming the most important leadership skills in modern business. In this episode, they explore: Why AI is reshaping jobs rather than simply replacing them  The hidden fear, uncertainty, and imposter syndrome leaders aren’t openly discussing  Why psychological safety matters more than ever inside organizations  How leaders can communicate AI initiatives without creating panic or resistance  The danger of relying on AI without critical thinking and human oversight  Why curiosity and empathy are becoming essential leadership skills in the AI era  What organizations are getting wrong with AI spending and strategy  How companies are using AI to scale knowledge, systems, and decision-making  Why vulnerability and transparency build stronger leadership trust during uncertainty  How AI is exposing leadership gaps that already existed beneath the surface  The importance of helping teams adapt instead of pretending leaders have all the answers  What separates organizations that will successfully evolve with AI from those that fall behindConnect with Raheela:https://www.linkedin.com/in/raheelananji/https://ree-consulting.com/

AI is accelerating cybersecurity threats faster than most organizations are prepared for, and this episode will challenge the way you think about security, visibility, and prevention in the age of AI.In this conversation, Tonya sits down with cybersecurity strategist John Fraser to unpack how AI is exposing security gaps inside organizations and why traditional “detect and respond” models are no longer enough. With experience spanning Department of Defense programs, enterprise IT environments, and high growth SaaS ecosystems, John brings a practical perspective on what’s actually happening inside modern security teams and where companies are falling behind.In this episode, they explore: Why AI is exposing security gaps most organizations don’t even realize they have  How rogue AI usage inside companies is creating massive risk  What happens when employees upload company data into LLMs and AI tools  Why “detect and respond” security models are struggling to keep up  How ransomware attacks have accelerated from days to minutes  The real reason security teams are overwhelmed with alerts  How AI is lowering the barrier to entry for cybercrime  Why attackers are using AI to scale malware and phishing attacks  The hidden risks of AI coding tools and copilots  Where traditional zero trust security approaches fall short  Why VPNs create dangerous visibility blind spots  What organizations are missing when it comes to cloud security visibility  The difference between reactive security and preemptive threat prevention  Why visibility into network traffic matters more than ever  What modern inline threat prevention looks like in practice  How organizations can reduce alert fatigue and SOC overload  Why companies need to treat AI as both a productivity tool and a security threat  What separates organizations that adapt from those that fall behind in the AI era Connect with John:[email protected] 

If flexible work feels like the future but your infrastructure still feels stuck in the past, this episode is going to challenge how you think about connectivity, security, and control.In this conversation, Tonya sits down with Jess Jorgensen, founder and CEO of Go Roam Tech and Blush Technology Group, to unpack what’s really happening as work becomes untethered from place. From RVs and remote canyons to enterprise environments, Jess shares what breaks when people move faster than infrastructure and why most organizations are still operating on systems that were never designed for this reality.They dive into the hidden risks of distributed work, the growing gap between IT responsibility and control, and what it actually takes to support a workforce that can log in from anywhere. Jess brings a rare, real world perspective from living and working fully remote, showing how the same foundational principles apply whether you’re running an enterprise network or working from the road.This episode is a practical and eye opening look at what it means to build infrastructure that moves with your business and why the future of IT starts at the edge. In this episode, they explore:Why flexible work is already happening with or without company approvalWhere infrastructure actually breaks in remote and hybrid environmentsThe hidden risks of patchwork systems built during COVIDWhy one internet connection is effectively zero in a remote worldHow security gaps are expanding as employees work from uncontrolled environmentsWhat IT leaders are underestimating when it comes to AI and remote accessWhy shadow IT and unauthorized tools are accelerating riskThe real reason remote work is now a talent acquisition and retention strategyHow poor user experience drives employees to create risky workaroundsWhat it takes to create secure, always on connectivity anywhereWhy IT must shift from control to enablement in a decentralized worldHow to rethink your tech stack for the next 12 to 18 months Important Links:https://app.technologymatch.com/solutions/working-from-roamhttps://app.technologymatch.com/solutions/advisory-services-1

If AI feels like the right move but you’re still not seeing results, this episode reframes where the real problem is.In this conversation, Tonya sits down with Ray LaMarca, Director of Solutions Engineering at NetApp, to unpack why most AI initiatives stall out before they ever deliver value. It’s not the tools. It’s the foundation underneath them.They break down what’s actually going wrong behind the scenes, from siloed data and security risks to misalignment between business and IT. Ray shares what he’s seeing across enterprise teams, where companies are overspending, and why ROI is taking longer than expected.This episode is a grounded look at what it really takes to turn AI from an experiment into a strategic advantage and why it all starts with your data. In this episode, they explore:Why most AI projects fail before they ever reach production and what’s really causing itThe hidden breakdown between business and IT and how it impacts resultsWhy data security is still the number one concern for IT leaders in the AI eraHow siloed data systems create inefficiencies, risk, and missed opportunitiesWhat actually happens when your data isn’t clean, complete, or protectedWhy massive investments in GPUs and cloud infrastructure aren’t delivering ROIThe real reason companies are slow to see value from AI initiativesHow supply chain, timing, and misaligned investments derail outcomesWhy asking better questions is the fastest way to avoid failureWhat it means for IT to shift from cost center to revenue driverHow partnerships, not just products, determine success in modern IT strategyReal world examples of companies using AI and data to drive efficiency and innovationWhat IT leaders should prioritize over the next 12 to 18 months to stay competitive Important Links:https://app.technologymatch.com/solutions/netapp-ai-data-enginehttps://app.technologymatch.com/solutions/netapp-afx

If AI feels like the biggest opportunity (and risk) in your business right now, this episode reframes the conversation in a way most leaders are missing: it’s not an AI problem, it’s a data problem—and more importantly, it’s a thinking problem.In this conversation, Tonya sits down with Richard Walker, founder and CEO of Quick, to unpack what’s really driving outcomes in the AI era. Drawing on decades of experience structuring and scaling data across millions of forms, Richard challenges the default way most companies approach AI—as a tool—and introduces a far more powerful lens: AI as a coworker.They explore why everyone has access to the same models, but vastly different results, and how the real differentiator lies in how you think, plan, and interact with AI. From treating AI like a human collaborator to building panels of experts and defining “mental models,” this episode offers a practical and deeply strategic framework for leaders navigating what’s next.Richard also shares how his team is leveraging unique data sets to build entirely new capabilities, why most organizations are sitting on untapped data goldmines, and what it actually takes to move from experimentation to operational impact.This conversation is a masterclass in slowing down to move faster—reframing AI from a speed tool into a strategic advantage that compounds across your business. In this episode, they explore:Why most companies don’t have an AI problem—they have a data problemHow treating AI like a coworker changes the quality of your resultsThe concept of “toddler syndrome” and why AI can feel both brilliant and unpredictableWhy prompting is less important than problem clarity and structured thinkingHow to use AI to write better prompts than you ever could yourselfThe power of “mental models” and how they shape AI behavior and outputsWhy planning upfront eliminates endless iteration and reworkHow different AI models vary in strengths (and how to use them together)The concept of building a “panel of experts” to solve complex problemsWhy unique data—not AI access—is the true competitive advantageHow companies are sitting on untapped data that can unlock new products and revenue streamsThe importance of enriching and structuring data before applying AIWhy adoption is a leadership problem—and how to drive it inside your organizationHow AI is shifting roles from execution to orchestration and strategic thinkingWhat the future of leadership looks like when managing both human and AI teams Important Links:https://app.technologymatch.com/solutions/quik-api

If telecom sits underneath everything in your business but rarely gets attention, this episode pulls back the curtain on why that invisibility is exactly where cost, inefficiency, and risk quietly accumulate.In this conversation, Tonya sits down with Stephen Hancock, founder and president of Socium IT, to unpack why telecom is one of the most overlooked (and under-optimized) layers inside IT. They explore how unmanaged vendor ecosystems, lack of visibility, and outdated documentation create compounding inefficiencies and why most organizations don’t realize the scale of the problem until they audit it. Stephen shares how telecom has quietly evolved into a utility—critical, but often ignored—and why treating it that way without operational discipline leads to wasted spend, lost time, and missed strategic opportunities. From invoice complexity to contract sprawl, this conversation reframes telecom as a lever for both cost recovery and organizational leverage. He also breaks down how AI is reshaping vendor evaluation and telecom management, where it creates leverage (and where it creates risk), and why the future of IT leadership requires both financial clarity and operational ownership across the full lifecycle. This episode offers a practical lens on how to reclaim control, reduce noise, and redirect resources toward higher-value initiatives like AI, security, and innovation.  In this episode, they explore:Why telecom is one of the least visible, but most impactful, layers in IT How small operational tasks quietly compound into major time and cost drains Where organizations lose the most money (and time) in telecom management The hidden risks of invoice complexity, billing errors, and contract auto-renewals Why lack of inventory and documentation creates ongoing inefficiency How telecom overspend often happens without anyone noticing The concept of telecom as a “utility” and what that means for IT strategy How AI is changing vendor evaluation and where it can create overconfidence Why advisory alone is no longer enough without execution and lifecycle ownership The disconnect between tools, data, and true operational accountability How IT leaders can align more effectively with CFOs using financial clarity The importance of establishing a clean baseline before making technology decisions Where leaders should reinvest reclaimed time and budget (AI, security, innovation) The single highest-leverage step IT leaders can take right now: building inventory visibility Important Links:https://app.technologymatch.com/solutions/telecom-contract-negotiation-rate-benchmarkinghttps://app.technologymatch.com/solutions/telecom-cost-optimization-for-multi-location-enterpriseshttps://app.technologymatch.com/solutions/telecom-expense-management-1

If last week’s conversation challenged the way you think about cybersecurity discipline, this episode pushes that conversation into even more urgent territory: AI.In this continuation, Tonya sits down again with Scott Alldridge to unpack what happens when innovation outpaces governance. As organizations rapidly adopt AI tools—often without oversight—new risks emerge beneath the surface. From hidden data exposure to autonomous systems interacting in unpredictable ways, Scott reframes AI not as a technology problem, but as a leadership, governance, and operational discipline challenge. This conversation goes beyond hype and into reality—where AI expands attack surfaces, complicates compliance, and demands stronger foundational controls than ever before. If last episode was about discipline, this one is about velocity—and the cost of moving too fast without guardrails. In this episode, they explore:Why rapid AI adoption is expanding organizational risk faster than governance can keep up The hidden dangers of “AI sprawl” and why most companies don’t know how many tools they’re actually using Why AI increases your attack surface and introduces new, harder-to-detect vulnerabilities The difference between generative AI and agentic AI—and why autonomous systems raise the stakes How AI tools can unintentionally leak confidential data or create compliance violations Why governance, not tools, is the foundation of safe and effective AI adoption The biggest blind spot in AI strategy: unclear ownership of risk across IT, business, and compliance Why human oversight is still non-negotiable—even with advanced AI-driven security platforms How foundational IT disciplines (like change, configuration, and integrity management) remain your strongest defense The growing gap between AI innovation and regulatory clarity—and why organizations are still fully accountable The role of third-party AI vendors in introducing unseen risk into your environment The first critical steps leaders must take to regain control: inventory, pause, and reintroduce AI with governance Why the next wave of major breaches and lawsuits will likely stem from unmanaged AI usage Important Links:https://app.technologymatch.com/solutions/ai-governance-risk-managementhttps://app.technologymatch.com/solutions/ai-security-postureA complimentary e-copy of his Amazon Best Seller VisibleOps Cybersecurity. Text your email address with the words “secure 2026” to 541-359-1269 OR go to https://scottalldridge.com/ and fill out the contact form, noting “secure 2026."Up to three no-cost Level One penetration tests/scans (for qualified organizations - $2,500 to $10,000 in value) Text your email address with the words “pen test” to 541-359-1269

If your organization believes it has “implemented zero trust” but things still feel uncertain beneath the surface, this episode challenges that assumption and reveals why cybersecurity gaps are often rooted in discipline, not tools.In this conversation, Tonya sits down with Scott Alldridge to unpack what he calls the “zero trust illusion” and why most organizations overestimate their cybersecurity maturity. They break down how breaches often stem from internal gaps, not just external attacks, and why zero trust is a philosophy that must span multiple layers, not a single product or quick fix. Scott also shares the highest-leverage actions leaders can take right now, from validating backup and recovery systems to implementing real-time threat monitoring. This conversation reframes cybersecurity as an operational discipline that protects revenue, reduces risk, and ensures long-term business continuity.  In this episode, they explore: Why IT failures and security breaches often start with unapproved or unmanaged change  The “zero trust illusion” and why most implementations are incomplete  What zero trust actually requires across seven layers of security  Why buying a tool does not equal building a cybersecurity strategy  The hidden risks of identity gaps, privilege creep, and shadow IT  Why microsegmentation is critical and often overlooked  The real-world consequences of small security gaps becoming major breaches  Why cybersecurity is still treated as a cost center and how that mindset creates risk  The truth about cyber insurance claims and why many are denied  How leadership decisions directly impact cybersecurity posture  The role of operational discipline in preventing and containing breaches  The two highest-leverage actions organizations should take immediately Important Links:https://app.technologymatch.com/solutions/zero-trust-microsegmentationA complimentary e-copy of his Amazon Best Seller VisibleOps Cybersecurity. Text your email address with the words “secure 2026” to 541-359-1269 OR go to https://scottalldridge.com/ and fill out the contact form, noting “secure 2026."Up to three no-cost Level One penetration tests/scans (for qualified organizations - $2,500 to $10,000 in value) Text your email address with the words “pen test” to 541-359-1269

If your IT initiatives keep stalling even with the right strategy, this episode pulls back the curtain on what’s really happening underneath and why talent decisions, not technology, are often the root cause.In this conversation, Tonya sits down with Clayton Dinger, a specialist in enterprise IT staffing who works behind the scenes with leaders navigating high-stakes delivery gaps. Drawing from years of experience sourcing niche, high-demand talent, Clayton unpacks why even well-funded, well-planned initiatives can quietly derail when the wrong people are in the wrong roles at the wrong time. Together, they explore the hidden pressures IT leaders are carrying right now, from navigating a talent market full of “on-paper” performers to managing the risk of disengaged contractors who won’t stay through delivery. They break down the early warning signs of project drift, why stretching internal teams often creates compounding delays, and how the difference between the best available talent and the right talent ultimately determines outcomes.Clayton also introduces a more strategic way to think about talent in today’s environment, moving beyond traditional hiring into a matrix model that blends a strong internal team with targeted external expertise. This conversation reframes staffing as a proactive leadership decision, one that reduces risk, accelerates delivery, and ensures teams have the right support at the right time to actually get across the finish line. In this episode, they explore:Why IT projects stall even with the right strategy and executive buy-inThe two biggest hiring risks: lack of transparency and lack of commitmentHow “imposters on paper” create real delivery riskThe hidden cost of stretching internal teams too farEarly warning signs a project is slipping before failure is visibleWhy working harder stops solving talent gapsThe difference between the best available talent vs. the right talentWhen internal hiring works and when it quietly creates bigger gapsThe real cost of waiting too long to bring in external expertiseHow to access the passive talent market for high-impact rolesWhy a matrix staffing model is replacing traditional hiring approachesHow external experts accelerate delivery and transfer critical knowledgeThe leadership shift from endurance to strategic support design Important Links:https://app.technologymatch.com/solutions/staffing-optionshttps://www.linkedin.com/in/clayton-dinger-76a41aa1/

If you are a woman in tech leadership quietly wondering why success still feels exhausting, this episode names the invisible forces shaping that experience and what it actually takes to rise without burning out.In this conversation, Tonya sits down with engineering leader and leadership coach Jossie Haines, whose career includes leadership roles at Apple, Tile, and American Express. Today, she helps women in tech navigate leadership, influence, and career advancement through her Awakened Leadership System.Together, they unpack why so many high-performing women feel stuck despite delivering exceptional results. From subtle bias and invisible “glue work” to burnout disguised as ambition, they explore the systemic pressures and internal patterns that push many women out of the industry by mid-career.Jossie explains why working harder often stops translating into advancement and how strategic visibility, advocacy, and business impact become the real drivers of leadership growth. They also discuss the difference between ambition that expands you and achievement that quietly erodes you.They also explore the internal patterns many women carry into leadership roles, including over-functioning, people-pleasing, and seeking validation through constant achievement. These patterns often collide with real workplace bias, creating the exhausting double bind many women experience in tech leadership.Jossie introduces the core pillars of her Awakened Leadership System, a practical framework designed to help women move from reactive survival mode into intentional leadership through clarity, resilience, strategic thinking, community, and executive influence.They close by exploring why emotionally intelligent leadership will matter even more in the age of AI, where the leaders who succeed will not just be the most technical, but the most human.This episode is not about fixing women. It is about understanding the systems shaping leadership experiences and building the clarity, strategy, and support required to rise without sacrificing yourself along the way. In this episode, they explore:Why more than half of women leave the tech industry by mid-careerHow subtle bias and micro-aggressions accumulate over timeThe “glue work” trap that creates value but not promotionsWhy working harder stops advancing leadership careersThe difference between ambition and self-abandonmentInternal saboteur patterns like the hyper-achiever, controller, and pleaserWhy strategic visibility and advocacy change promotion outcomesThe role of support systems in sustaining ambitious careersJossie’s Awakened Leadership System and its leadership pillarsWhy human-centered leadership will matter even more in the AI era Important links:https://app.technologymatch.com/solutions/the-leadership-impact-lab-for-engineering-leadershttps://www.linkedin.com/in/jossiemann/ https://jossiehaines.com/ 

If you are selling to IT leaders and wondering why your outreach is getting ignored, this episode explains the real shift happening inside enterprise buying: the modern IT buyer no longer needs a pitch. They need a partner.In this conversation, Tonya sits down with Global Consulting Group’s Lara Mayes, April Armijo, and Leslie Bonsett to unpack how enterprise technology buying has changed and why traditional sales motions are increasingly misaligned with how IT leaders actually make decisions. Drawing from decades of experience working directly with CIOs, CTOs, and enterprise technology teams, they share what today’s buyers truly value and why curiosity, service, and trust are now the real differentiators in technology partnerships.Together, they explore how information overload, longer buying cycles, and growing internal accountability have fundamentally shifted the expectations placed on technology vendors. IT leaders are researching solutions long before the first conversation. They are managing more responsibility with fewer resources. And they are increasingly skeptical of conversations that feel like pitches instead of support.Throughout the conversation, Lara, April, and Leslie share real-world stories of how curiosity-led conversations turned into long-term partnerships, why emotional intelligence is an operational advantage in enterprise sales, and how service-driven relationships can compound into multi-million-dollar opportunities over time.This episode is not about improving your pitch. It is about redefining what selling looks like in a market where trust is thin and attention is scarce. In this episode, they explore:How the modern IT buyer has evolved and why traditional sales approaches are breaking downWhy IT leaders are more informed than ever before the first sales conversationThe impact of information overload, longer buying cycles, and growing decision committeesWhy curiosity and listening are now the most valuable “sales” skillsHow emotional intelligence shows up as real momentum in enterprise buyingWhy IT leaders are seeking strategic allies instead of product vendorsHow service-driven relationships compound into long-term partnerships and revenueThe role consulting firms like Global Consulting Group play in sourcing and aligning the right technology solutionsWhy the future of enterprise sales will belong to partners who prioritize support, clarity, and trustImportant Links:https://app.technologymatch.com/solutions/it-account-managementhttps://www.linkedin.com/in/laramayes/ https://www.linkedin.com/in/lesliebonsett-smartadvice/ 

If you are a CIO, CTO, or IT leader who secured the AI budget but still are not seeing meaningful ROI, this episode names the real issue: adoption is the constraint.In this conversation, Tonya sits down with Robyn Anderson, AI adoption strategist and founder of JM AI, who has spent more than 20 years leading sales-driven growth and digital transformation. Robyn brings a practical operator’s lens to one of the biggest blind spots in AI transformation. Tools do not create impact. Behavior does.She reframes AI adoption as both a change management challenge and a personal journey. Inside the same teams, some employees are compounding gains weekly while others have not even opened an LLM. The gap is not access. It is habit, psychology, and leadership.Together, they unpack why course-based AI training often fails, how governance-heavy rollouts drive shadow experimentation, and why live, community-based learning increases completion and real-world usage. They also address the emotional side of adoption, including fear of being replaced and fear of not being capable, and why shame creates compliance but not transformation.Robyn introduces the 15-minute-a-day “AI Gym” model, a simple rhythm that builds skill without overwhelm. They explore what a 30-day adoption playbook looks like, how to measure ROI through real business signals like sales and output, and why the future belongs to teams who learn fast together.This episode is not about chasing more tools. It is about building habits that compound. In this episode, they explore:Why AI budgets are rising while ROI lagsThe widening performance gap between adopters and non-adoptersWhy traditional AI training models stall behavior changeThe emotional realities behind resistance and fearWhat a practical 30-day AI adoption playbook looks likeHow to measure adoption in terms that tie back to revenueWhy daily habit-building outperforms one-time transformation pushesThe emerging shift toward humans managing AI agents Important Links:https://app.technologymatch.com/solutions/ai-traininghttps://www.linkedin.com/in/robynhansen/

If you are a CISO or IT leader who has invested in tools, training, and compliance programs yet still feels exposed, this episode confronts the uncomfortable truth: security doesn’t fail because of technology. It fails because of trust.In this conversation, Tonya sits down with Robert Siciliano, security expert, private investigator, and bestselling author with more than 30 years studying how criminals exploit human behavior. Robert has been featured on major national media including CNN, Fox News, and The Today Show, and he brings a deeply human lens to cybersecurity. His core message is simple but disruptive: we are wired to trust, and attackers know it.Robert calls it the human blind spot — the cognitive gap where biological trust overrides digital suspicion. And in a world of AI-generated video, voice cloning, and real-time deepfake Zoom calls, “trust what you see and hear” is no longer a viable strategy.Together, they unpack why awareness training often plateaus, how shame quietly suppresses reporting, why compliance does not equal behavior change, and what it really takes to build what Robert calls a Strategic Human Firewall.This episode is not about more tools. It is about changing hearts to change behavior. In this episode, they explore:What the “human blind spot” is and why biological trust overrides digital suspicionWhy phishing remains a top breach entry point despite strong tech stacksHow security aversion and denial quietly undermine adoptionThe compliance trap: why awareness training often fails to change behaviorHow shame creates silent failures and suppresses breach reportingThe difference between security awareness and security appreciationWhat a Strategic Human Firewall looks like in practiceReal-world AI threats, including deepfake Zoom calls and voice-cloned kidnapping scamsHow to frame human risk for boards and CEOs without sounding alarmistOne simple shift IT leaders can implement immediately to reduce human risk Important Links:https://app.technologymatch.com/solutions/the-strategic-human-firewallhttps://www.linkedin.com/in/robertsiciliano/

If you are an IT leader feeling buried under nonstop urgency, executive AI mandates, rising security risk, and shrinking capacity, this episode speaks directly to the tension you are carrying. In this conversation, Tonya sits down with Manuel Ruiz, a seasoned technology leader with decades of experience across enterprise environments including IBM and Sony, to explore how IT leaders can move fast without losing clarity, authority, or humanity. Rather than defaulting to hype or fear, Manuel breaks down what it actually looks like to design calm inside chaotic systems. Drawing from years of leading through disruption, Manuel shares why security must evolve from “department of no” to strategic enabler, why AI is not a magic pill but a calculator that still requires discipline, and how leadership under pressure is less about speed and more about intentional cadence. Together, they unpack how to separate executive urgency from real business value, how to create safe guardrails for AI experimentation, and why kindness and emotional safety are performance strategies, not soft skills. In this episode, they explore:Why IT is often blamed for stalled growth and how to reframe it as a growth enablerWhy AI accelerates value and risk without clear guardrailsHow to translate executive AI urgency into real, measurable outcomesThe first questions to ask before launching AI initiativesHow dashboards and identity controls reduce reactive leadershipWhy inaction is often riskier than imperfect actionHow to build decision cadence without central bottlenecksWhat IT leaders need to stop doing to avoid burnout and chaosHow to safely experiment with AI using staged environments and oversightWhy kindness and emotional safety raise performance standardsHow to spot partners who create oxygen, not noiseWhy peer communities restore clarity and perspective under pressure Important Links:https://www.linkedin.com/in/manuelruiz01/ https://app.technologymatch.com/solutions/unified-corehttps://app.technologymatch.com/solutions/unified-responsehttps://app.technologymatch.com/solutions/unified-securityhttps://app.technologymatch.com/solutions/unified-team

If you are an IT leader carrying constant urgency, invisible pressure, and expectations that keep shifting faster than your organization can stabilize, this episode names what most leaders are experiencing but rarely talk about. In this conversation, Tonya sits down with Dave Zaron, founder of Sovereign Leadership, to explore the human side of leadership under sustained pressure. Rather than focusing on tools or tactics, Dave breaks down why burnout, reactivity, and decision paralysis are usually signs of internal misalignment, not leadership failure.Drawing from his experience leading a technology firm through extreme disruption, Dave shares how leaders can reclaim authority, respond instead of react, and stop absorbing urgency, panic, and responsibility that do not belong to them. Together, they unpack why collapse is sometimes necessary, how accountability quietly erodes under stress, and what it actually takes to lead with clarity in an AI-accelerated world. This episode is for leaders who are done being told to “just be more resilient” and are ready to lead with grounded authority instead. In this episode, they explore:Why IT leaders are among the most underserved leadership groups and how invisible pressure accumulatesThe difference between delegation and abdication and how accountability quietly breaks down under stressWhy mindset work alone is not enough and how to think about leadership as an internal operating systemHow misalignment in the body, mind, or identity layer shows up as reactivity and burnoutThe concept of grounded calm and why clarity, not urgency, is a leader’s real leverageWhat it means to lead when expectations shift faster than infrastructure can supportDave’s “stop, sort, and stand” framework for reclaiming authority during moments of collapseHow resisting collapse creates suffering and why collapse can be a necessary reset pointWhat sovereign leadership actually means and how it differs from servant leadershipWhy every interaction is a currency exchange and how leaders unknowingly absorb panicHow leaders can stop carrying energy, urgency, and fear that do not belong to themWhat IT leaders should focus on as they head into 2026 amid continued AI acceleration Important Links:https://www.linkedin.com/in/davezaron/https://sovlead.com/ https://app.technologymatch.com/solutions/fractional-ctohttps://app.technologymatch.com/solutions/the-foundry

If you still think AI is something your organization can “watch for another year,” this episode will change your mind.To open season two of Between Fires & Futures, Tonya welcomes back Allen Clingerman, Chief Technology Strategist at Dell, for a grounded, no-hype conversation about what has actually changed in AI since last spring and why 2026 is the year experimentation officially gives way to enterprise reality.Allen brings nearly four decades of experience across mainframes, cloud, infrastructure, and AI to explain why AI is no longer a side project or innovation lab experiment. In just nine months, AI has moved from demos and copilots into core enterprise infrastructure, with reasoning models and agentic systems already operating in production environments. The result is new opportunity and an entirely new risk profile that most leaders are not prepared for yet.This conversation goes beyond tools and trends to unpack what is really shifting underneath the surface, including how tokenization costs are reshaping architecture decisions, why private AI and hybrid deployments are accelerating, and what happens when AI systems do not just assist but act.If you are an IT leader, executive, or strategist trying to balance speed, security, cost, and accountability in an AI-driven future, this episode offers the clarity most conversations skip. In this episode, they dig into:Why AI crossed the line from experimentation to core infrastructure faster than anyone expectedThe rise of reasoning models and agentic AI and what changes when systems can plan, act, and execute with minimal human oversightWhy governance, behavior control, and accountability now matter more than raw model performanceThe hidden risks of agentic systems, including quiet overreach, cascading failures, and machine-speed security threatsWhat Dell learned by becoming “customer zero,” including how internal AI tools gave leaders back up to 75 percent of their timeHow tokenization costs are reshaping decisions around cloud, on-prem, and edge deploymentsWhy private AI, small language models, and AI-enabled PCs are becoming critical to cost control and data protectionThe shift from one massive model to fleets of specialized, coordinated models running across hybrid environmentsWhy most organizations get stuck in pilot mode and the three things blocking AI from reaching productionWhat leaders should prioritize in 2026, including ownership, data readiness, workflow redesign, and change managementWhy the next big conversation will not be about AI features but AI behavior governance, shadow agents, and ML Ops maturity Important Links:https://app.technologymatch.com/solutions/dell-technologies-ai-factoryhttps://app.technologymatch.com/solutions/dell-ai-pcshttps://app.technologymatch.com/solutions/dell-ai-solutionshttps://app.technologymatch.com/solutions/dell-pro-ai-studiohttps://app.technologymatch.com/solutions/dell-pro-max-with-gb10https://www.linkedin.com/in/clingerman/

If you’ve ever renewed an MSP contract while thinking, “This partnership isn’t working…but I don’t have the energy to fix it,” this episode is the one you’ve been waiting for. In today’s conversation, Tonya sits down with Zack Aleksic, CTO and Principal Solutions Architect at Z7 Solutions, a firm trusted by public and private sector organizations for enterprise-grade cybersecurity, cloud, disaster recovery, compliance, and endpoint management. With certifications across ISO, NIST, CMMC, HIPAA, and more, Z7 pairs the rigor and resources of a large integrator with the responsiveness IT leaders actually want.  Zack has seen firsthand why so many IT leaders feel trapped in MSP relationships that no longer serve them and why the cost of staying put is far higher than most leaders realize. From silent vendors and outdated backups to untested disaster recovery plans and multi-year contracts that discourage accountability, he explains why the traditional MSP model is breaking down… and what a modern IT partner should actually look like. This conversation is a must-listen for any IT leader navigating vendor stagnation, cyber risk exposure, compliance pressures, tool overload, or fear of disrupting operations during a provider switch. In this episode, they dig into:Why IT leaders renew MSP contracts even when they’re unhappy and what fear, sunk cost, and fatigue have to do with itThe hidden risks of staying with a stagnant MSP: widening security gaps, outdated backups, brittle DR plans, and compounding technical debtThe dangerous “quiet MSP” pattern: minimal communication, no strategic guidance, no push toward modernization, and no accountabilityRed flags every IT leader should recognizeHow to proactively demand the bare minimum from an MSP, including quarterly risk reviews, evidence of controls, pen test validation, access audits, and clear prioritization with ownership + deadlinesThe real danger of complacency: nothing looks wrong until everything breaksWhy the MSP burnout crisis is real and how it’s hurting response times, strategy, and quality of care for clientsStep-by-step guidance for preparing a clean, low-disruption transition, including controlled environments, documentation, dependency mapping, and full discoveryWhy Z7 calls itself a turnkey solutions provider instead of an MSP and why that distinction matters for IT leaders managing risk, compliance, and modernizationThe explosion of tools in cyber and cloud, and why leaders must “eliminate the noise” to make smart decisionsThe one thing every IT leader should do tomorrow to evaluate their MSP: create a one-page MSP Scorecard (and why TechnologyMatch + Z7 are co-building one for listeners) Important Links:https://app.technologymatch.com/solutions/z7-solutions-managed-serviceshttps://app.technologymatch.com/solutions/z7-solutions-staff-augmentation-serviceshttps://www.linkedin.com/in/zaleksic/https://technologymatch.com/z7-msp-scorecard

If you think you know IBM, this conversation will change that. In this episode, Tonya sits down with Josh Kropf, Director for IBM Americas (Arrow), for a candid, energizing, myth-busting look at what it really takes for a 114-year-old tech giant to reinvent itself and why IBM’s transformation is one of the most compelling stories in enterprise technology right now. From AI to hybrid cloud to automation to quantum, Josh pulls back the curtain on how IBM went from “legacy giant” to a fast-moving, partner-centric, SaaS-first innovation engine and why industry analysts, CIOs, and the market are finally noticing. He also shares the inside story behind IBM’s Client Zero program, which has already delivered $4B in internal efficiency gains (yes, billion), and what IT leaders can learn from IBM’s approach to AI adoption, data readiness, and the next wave of automation. This episode is a must-listen for IT leaders navigating AI strategy, data silos, modernization pressure, executive expectations, or the overwhelming mandate to “go do AI.” In this episode, they dig into:Why IBM is “cool again” and why the market, analysts, and even competitors agreeHow IBM’s 114-year innovation history shapes its AI, hybrid cloud, and automation strategy todayThe Client Zero story: $4B+ in efficiency gains and dozens of internal AI agents transforming HR, sales, IT, and procurementWhat IT leaders can steal from IBM’s playbook for picking AI use cases that actually get adoptedWhy the next era of AI won’t be won by models, but by the companies that unlock their 99% of untouched, unstructured enterprise dataThe rise of on-prem AI appliances and “AI factories” (and why mid-market companies need to pay attention)IBM’s $17B acquisition strategy (Aptio, Turbonomic, HashiCorp, Instana, etc.) and how each one fills a critical gap in the automation + AI stackSaaS-first, partner-first, and the new IBM buying experience (including IBM on AWS + Azure marketplaces)The biggest cultural shift IBM had to make to stay relevant and why legacy is both a strength and a competitive advantageHow partners and customers are now building and monetizing their own solutions powered by IBMWhy adaptability, not certainty, is the leadership competency that will define 2025–2027 Important Links:https://www.linkedin.com/in/joshkropf/[email protected]://app.technologymatch.com/solutions/ibm-watsonx-data-and-automation-services-and-solutions-wi…https://app.technologymatch.com/solutions/ibm-watsonxgovernancehttps://app.technologymatch.com/solutions/watsonx-ai-adoption-models-data-governance-for-measurable…https://app.technologymatch.com/solutions/steps-consulting-data-ai-services

In this episode, Tonya sits down with Michelle Tinsley, CEO of Sciata, to cut through the noise and finally get honest about what it really takes to do AI right inside a modern organization. With 30 years of experience across Intel, startups, private equity, fundraising, M&A, and deep technical leadership, Michelle brings one of the most grounded, practical, and operationally experienced perspectives you’ll hear in the AI conversation today. Instead of hype, Michelle offers a playbook for how IT leaders can start small, sequence smart, and build AI initiatives that actually move the business—without adding chaos, panic, or unrealistic expectations. From the “basement-hoarder” data problem to the fears employees bring into AI transformation, Michelle pulls back the curtain on what’s actually slowing organizations down—and how to fix it. You’ll also hear real examples from the field, including how one AI deployment cut noise by 90% and saved millions, and how another turned into a brand-new revenue-generating company. And she shares a powerful framing for 2025–2026: IT leaders don’t need to be the smartest person in the room anymore—they need to be the most adaptable. This is a must-listen for anyone navigating board pressure, resource constraints, legacy systems, employee skepticism, or the overwhelming mandate to “go do AI.” In this episode, they dig into:Why AI initiatives stall—and what leaders can do to reverse the 80% failure rateThe basement-hoarder data problem and how to fix it without boiling the oceanWhy the best AI use cases are high-frequency, high-volume tasks hiding in plain sightHow to shrink risk by running monthly AI “sprints” instead of one giant moonshotWhat leadership behaviors differentiate tinkering with tools from true transformationWhy smart sequencing—not big bets—is the new competitive advantageHow to help your teams feel safe, supported, and excited rather than threatenedWhat the next wave of generative and agentic AI means for IT governanceWhy adaptability—not certainty—is the top leadership competency going into 2026 Important Links:https://app.technologymatch.com/solutions/on-demand-technology-specialistshttps://app.technologymatch.com/solutions/project-design-implementationhttps://app.technologymatch.com/solutions/data-science-as-a-serviceHttps://www.linkedin.com/in/michelle-tinsley/

In this episode, Tonya sits down with Zack Aleksic, Founder and CTO of Z7 Solutions, to explore the evolving battlefield of cybersecurity—and what it really means to lead when attackers are already inside the walls. With more than 30 years of experience designing mission-critical infrastructure for government, defense, and enterprise organizations, Zack brings a rare dual perspective: a former teenage hacker turned cybersecurity leader. From his early days exploring IRC servers and system vulnerabilities to his work now leading modernization and operational resilience programs, Zack has seen the threat landscape from every angle. He joins Tonya to pull back the curtain on what’s really happening behind the headlines—from attackers embedding themselves in networks for months to the quiet discipline it takes to shrink “dwell time” and build a culture of vigilance that sticks. This conversation is a wake-up call for any IT or security leader navigating the tension between innovation and risk—and a reminder that leadership in cybersecurity starts with curiosity, not fear. Together, they dig into what every IT leader should be thinking about in 2025 and beyond:Why attackers aren’t just breaking in—they’re staying hidden and learning your environmentThe human factor: how to turn employees from your biggest risk into your strongest defenseThe right cadence for penetration testing (and why once a year isn’t nearly enough)How to communicate cyber risk in board language—impact, dollars, downtime, and trustThe practical first step for leaders who know their security posture isn’t where it should beWhat the rise of AI-driven exploits means for the next generation of cybersecurity strategy Important Links:Https://app.technologymatch.com/solutions/z7-solutions-cybersecurity-servicesHttps://app.technologymatch.com/solutions/z7-solutions-cybersecurity-awareness-trainingHttps://www.linkedin.com/in/zaleksic/

In this episode, Tonya sits down with Josh Einstein, Cloud Architect, Software Developer, and AI Engineer at ConRes IT Solutions. With over two decades of experience spanning the dot-com boom, telecommunications, and now artificial intelligence, Josh has built solutions for emerging technologies long before they hit the mainstream. Today, he helps organizations design and deploy the next generation of AI-powered systems—and he’s here to share how IT leaders can take the first real step toward practical, measurable AI success. Together, Tonya and Josh tackle one of the most urgent questions facing IT leaders today: Where do we even start with AI? Boards are asking for strategies, budgets are tightening, and the pressure to “do AI” is mounting. But without a clear playbook, many pilots stall or fail before ever reaching production. Josh breaks down how to identify the right use case, test it within 90 days, and deliver the kind of results that executives actually care about. Through grounded insights and real-world examples, you’ll learn how to turn AI hype into sustainable business outcomes—without betting the company on your first project. You’ll learn:The key difference between doing AI and solving business problems with AIHow to spot your first high-impact use case (and what to avoid)The 90-day roadmap for testing an AI pilot and proving ROI fastWhy most AI pilots fail—and how to avoid the top traps around data quality, scope, and governanceThe role of security, compliance, and human oversight in responsible AI adoptionHow to measure outcomes that matter to the board—like hours saved, errors reduced, and dollars addedWhy AI should never be treated as just an IT project (and who really needs to be at the table)The myth of “AI replacing programmers” and what jobs will actually look like in the next wave of tech Important Links:https://app.technologymatch.com/solutions/ai-engagements

In this episode, Tonya sits down with Justin Young—Chief Technology Officer at Commercial Tool Group. With more than 25 years in IT leadership, Justin has navigated both large enterprise environments and mid-size manufacturing—where the risks are just as big, but the resources are often much smaller. He’s built his career on one central belief: cyber resilience isn’t about the latest tools—it’s about people, process, and preparation. Together, Tonya and Justin dive into what “resilience” really means in practice, why it must be seen as a business function (not just an IT concern), and how leaders can build cultures that withstand disruption. Through candid stories—from a WannaCry outbreak to tabletop crisis simulations—Justin makes the case for documentation, communication, and leadership buy-in as the true backbone of resilience. You’ll learn:Why resilience is bigger than cybersecurity—and how to reframe it as a core business risk.The people-and-process mindset that keeps operations moving, even when technology fails.Real-world lessons from crisis management, including why the first 60 minutes matter most.How to run effective tabletop exercises that prepare your whole organization (not just IT).The hidden risks of vendor relationships, IPOs, and acquisitions—and how to evaluate third-party resilience.Why communication and documentation are the cheapest, most powerful resilience tools.The three moves every IT leader should make in the next 90 days to build resilience from the ground up.The biggest mistake new IT leaders make when launching resilience programs—and how to avoid it. Important Links:Connect with Justin on LinkedIn

In this episode, Tonya sites down with Mike Lyles—Head of IT at Maxwell Leadership, keynote speaker, certified coach, and author of The Drive-Thru Is Not Always Faster. With more than 30 years of experience leading Fortune 50 IT teams, Mike has built organizations from the ground up and coached leaders across the globe. But what sets him apart isn’t just his credentials—it’s the way his people describe him: “the best boss I’ve ever had.”Together, Tonya and Mike unpack one of the most common mistakes in IT: confusing leadership with management. They reveal why inspiration without structure leads to chaos, and why discipline without vision stalls innovation. Through real-world examples and practical insights, this episode will help you strengthen both muscles—whether you naturally lean toward leadership or management—so your IT teams can thrive.What You’ll Learn in This Episode:The biggest misconception about leadership in IT and why technical excellence doesn’t automatically translate into people leadership.What poor management really looks like in day-to-day IT environments (and how to spot it fast).The ripple effects of poor management on technology projects and outcomes.Practical ways to close the gap if you’re strong in leadership but weak in management—or vice versa.How John Maxwell’s principles, including the Five Levels of Leadership and 15 Invaluable Laws of Growth, shape Mike’s approach to leading IT teams.The importance of mentors and why no leader should go it alone.How to stay disciplined while navigating AI and other fast-moving innovations without falling for shiny-object syndrome.The toughest leadership lessons Mike and Tonya learned early in their careers—and how those failures became turning points.Resources & Books Mentioned:The Drive-Thru Is Not Always Faster by Mike LylesThe 15 Invaluable Laws of Growth by John C. MaxwellEveryone Communicates, Few Connect by John C. MaxwellThe Five Levels of Leadership by John C. MaxwellThe Five Dysfunctions of a Team by Patrick LencioniHow to Become CEO by Jeffrey J. FoxConnect with Mike Lyles:LinkedIn

In this episode of Tonya sits down with leadership visionary Leslie Ann Keeler to explore what it means to lead in an era defined by rapid AI innovation and constant change.With nearly two decades of experience guiding founders, executives, and teams through complexity, Leslie blends neuroscience, psychology, and ancient wisdom to help leaders embody the qualities AI cannot replace: presence, emotional intelligence, trust, and human connection.Together, Tonya and Leslie dive deep into why traditional models of speed, control, and optimization are no longer sustainable—and why the future of leadership lies in balancing strategy with empathy, intuition, and care.Tune in to hear:Why 95% of AI pilot projects fail (and what it has to do with leadership, not technology).How emotional intelligence drives retention, satisfaction, and performance—and why it’s a business imperative, not a “soft skill.”Simple, actionable practices (like breathwork, movement, and pauses) that leaders can use to regulate their nervous systems and lead from a place of steadiness.Why connection is not just a “nice-to-have,” but the strategy for sustainable leadership in a world where AI amplifies whatever energy we bring.The role of ancient intelligence—wisdom traditions, presence, and embodied practices—in grounding leaders as artificial intelligence accelerates.Important Links:Connect with Leslie on LinkedInIT Account Management - Technology Match The Intuitive Edge Newsletter

Is your IT budget quietly bleeding while you’re too busy putting out fires to notice?In this episode, Tonya welcomes back Leslie Bonsett of Global Consulting Group for a deep dive into IT cost optimization. If you’ve ever said, “We don’t have the budget for that,” this conversation will open your eyes to how much hidden spend is draining your resources.From runaway cloud costs to copper lines quietly ballooning into million-dollar invoices, Leslie reveals real-world examples of overspend that left companies stunned—and the simple steps that helped them reclaim millions. Tune in to hear:Why 85% of organizations are overspending without realizing itHow “death by a thousand cuts” quietly erodes IT budgetsThe hidden risks of outdated services, bloated contracts, and cloud sprawlReal stories of companies who reclaimed millions in overspendHow to shift from firefighting to governance with visibility and dataPractical first steps IT leaders can take this quarter to stop the budget bleedImportant Links:IT Account Management - Technology Match LinkedIn: Leslie Bonsett

AI is moving faster than the infrastructure that powers it. While headlines focus on breakthrough models and business outcomes, CIOs and IT leaders are running into the real bottleneck: data centers, power capacity, and sourcing.In this episode, Tonya sits down with Joel St. Germain, founder of Global Consulting Group and CEO of DataCenters.com, the world’s largest marketplace connecting enterprises, hyperscalers, and investors to over 6,500 facilities worldwide.Tune in to hear:The hidden bottleneck shaping AI adoption: why power is now the limiting currency.The million-dollar mistakes CIOs make when sourcing data centers.Why traditional procurement cycles don’t work anymore in today’s seller’s market.How hyperscalers, edge data centers, and real estate investors are reshaping the future of infrastructure.The 12–24 month planning horizon every CIO must adopt to avoid being left behind.How sustainability, modular energy units, and hybrid power solutions are transforming data center strategy.Why board-level conversations about energy and infrastructure costs are critical to AI readiness.Episode resources:Website: www.datacenters.comCompany page: https://app.technologymatch.com/buyer/companies/be525b6a-b7be-41e2-8a8d-ad97db2922b9Co-Location: https://app.technologymatch.com/solutions/co-locationData Centers: https://app.technologymatch.com/solutions/data-centersInfrastructure-as-a-Service https://app.technologymatch.com/solutions/infrastructure-as-a-service

In this powerful and candid conversation, host Tonya Turrell sits down with three trailblazing women from GCG — Lara Mayes, April Armijo, and Leslie Bonsett — to explore how female leaders are reshaping the future of tech. Together, they unpack the shifts happening in leadership today, why traditional models are breaking down, and how empathy, adaptability, and emotional intelligence are becoming essential leadership skills in the age of AI.From navigating male-dominated boardrooms in the ’90s to mentoring the next generation of leaders, Lara, April, and Leslie share their personal journeys, hard-earned lessons, and the unique strengths women bring to the table — strengths that are now driving cultural and strategic change across the industry.They dive into:The evolution of tech leadership and why the old “command-and-control” style is no longer enoughHow women’s intuition, empathy, and ability to build genuine relationships create stronger teams and better resultsReal-life stories of overcoming bias, breaking through barriers, and earning respect in male-dominated spacesWhy curiosity, listening, and courage are essential leadership skills for both emerging and seasoned leadersHow AI is accelerating the need for human-first leadership — and the role women can play in setting ethical, people-centered standards for the futureActionable advice for both women leaders and male allies to create more inclusive, balanced, and effective workplacesWhy You’ll Love This Episode: If you’ve ever wondered how to lead authentically in fast-changing, high-pressure environments — or how to amplify the voices and impact of women in tech — this conversation is filled with real talk, inspiration, and strategies you can use right now. Whether you’re an aspiring leader, a seasoned executive, or a male ally who wants to support positive change, this episode will leave you motivated and hopeful about the future of leadership.Connect with our guests:Website: gcgcom.comEmail: [email protected]: Lara Mayes | April Armijo | Leslie Bonsett

Want to know what automation strategies are actually working for real enterprise teams?Automation may be one of the most overused buzzwords in IT—but it’s also one of the most underutilized solutions. In this episode, we sit down with Chris Miller, CTO of Advizex, whose journey from building an ISP at 19 to leading enterprise automation strategy has given him rare, hands-on perspective on what actually works. If you're stuck in firefighting mode but want to build a system that scales and sustains your team, this conversation is your roadmap.We break down what intelligent automation actually looks like in practice—far beyond the hype—and how IT leaders can prioritize, operationalize, and scale automation across complex systems. From reducing provisioning wait times to unlocking agentic AI in cross-departmental workflows, this episode is packed with actionable insights you can take back to your team immediately.Tune in to hear:Chris’s unique path from programming at age 6 to CTO, and how his early experiences shaped his systems-thinking mindsetWhere enterprise IT teams are feeling the most pressure—and how smart automation is relieving itWhy consistency may be more valuable than speed when it comes to automation ROIHigh-leverage use cases like self-healing systems, intelligent provisioning, and automated security responseThe biggest blockers to scaling automation—and how to avoid project stall-outWhat smart, scalable automation really looks like when it’s done rightHow agentic AI is changing the future of IT operations (and what early adopters are doing now)Chris’s lean value analysis method for choosing the right automation projects based on time, cost, and business impactHow to get leadership and IT buy-in without the overwhelmResources Mentioned: 🔍 Explore automation insights from Advizex: Search "Advizex automation" on TechnologyMatch.com 🤖 Reach out to Chris directly: [email protected]

Is your IT leadership evolving fast enough to meet the demands of today’s human-first, AI-driven future?In this episode, Tonya sits down with Jason Frame, CIO of the Southern Nevada Health District, to talk about what it truly means to lead IT in a post-COVID, AI-driven world. Jason brings decades of experience and a radically human-centered approach to IT leadership. From rethinking how we define value in IT, to implementing psychological safety and building cross-functional trust, Jason shares how modern CIOs must move beyond technology jargon and become experience-driven, empathetic leaders.Whether you’re facing resistance to change, struggling to influence beyond IT, or wondering how to help your team embrace AI without fear, this episode is packed with honest, actionable wisdom to help you lead through today’s chaos—and into tomorrow’s possibilities.Tune in to hear:Why the CIO role is no longer just technical—and what it’s becoming insteadThe power of putting employee and customer experience at the center of IT strategyHow Jason led a seamless shift from desk phones to Teams softphones—and what made it workCommon blind spots tech leaders still have about the future of their roleWhy “soft skills” are actually essential leadership toolsHow to speak the language of the business—and humans—not just techReal-world examples of psychological safety building stronger teamsHow to align AI and automation with human-first impactThe value of cross-departmental trust and how to build itJason’s advice for leaders who want to start evolving but don’t know where to beginConnect with Jason: Follow Jason Frame on LinkedIn

Is your cloud bill out of control—despite doing “all the right things”? You’re not alone.In this episode of Tonya sits down with Martin Hauskrecht, Head of Engineering at Labyrinth Labs and curator of the TLDR DevOps newsletter, to unpack the cloud cost dilemma. With over 1.25 million readers, Martin is a trusted voice in the DevOps space, known for designing scalable cloud infrastructures and cutting through complexity with actionable insights.Together, they explore why cloud costs are skyrocketing—even for companies with strong tech teams—and how IT leaders can reduce spend without stalling innovation. From Kubernetes realities to forgotten resources and architectural patterns that silently bleed budget, this conversation offers a tactical and mindset-driven approach to smarter cloud spending.Tune in to hear:Why cloud pricing models lead to overspending—even with skilled teamsThe most common hidden costs in AWS bills (spoiler: data transfer)Why Kubernetes isn’t the budget-breaker many think it isThe cultural and process gaps keeping teams stuck in wasteTools, techniques, and strategies for real-time cost visibilityWhy cost accountability should be embedded in engineering workflowsWhen it's time to adopt Kubernetes—and when to waitReal-life examples of 20–60% savings from better architecture decisionsMartin’s #1 suggestion for any IT leader reviewing their next cloud invoiceWhy the belief that “cloud has to be expensive” is holding leaders backResources Mentioned:TLDR DevOps NewsletterLabyrinth LabsTechnologyMatch.com (for partnership inquiries)Connect with Martin on LinkedIn

Are your AI pilots technically successful—but still not going anywhere? You’re not alone. So what’s really holding back AI adoption in enterprise environments?In this episode of Between Fires and Futures, we sit down with AI transformation experts Danny Jones and Steve Grosso from Advizex to unpack one of the biggest challenges IT leaders are facing today: the AI buy-in gap. Spoiler—it’s not the technology. From stalled pilots to cross-functional resistance, this conversation is a masterclass on navigating the political, cultural, and strategic realities of enterprise AI. You’ll learn why smaller, low-risk sprints are key, how to secure cross-functional alignment, and what practical steps organizations can take to build scalable, ROI-driven AI solutions. Tune in to hear:Why most AI pilots fail after the tech proves itselfThe #1 myth IT leaders need to stop repeatingThe “small bites” approach to derisk AI initiatives and build momentumHow to move from pilot to production without fizzling outThe real reason data quality can make or break your successA behind-the-scenes story about solving municipal water loss with AI—and where it went wrongWhy IT can’t operate as a silo anymore (and how to get other departments to lean in)The critical role of internal and external partner alignmentWhere AI is headed in the next 12–36 months (and how to prepare today)Resources Mentioned:Advizex AI Solutions on TechnologyMatch (search “Advizex AI”)Contact the team directly via [email protected] with Danny and Steve on LinkedIn

Ever wonder why tech buying feels broken—and what could actually fix it?In this episode, host Tonya Turrell, founder and CEO of TechnologyMatch.com, pulls back the curtain on the legacy lead generation system that’s failing tech leaders—and shares the bold vision behind the company she built to change it. Tonya recounts her journey from tech sales and marketing to launching an agency just weeks before the global pandemic, and how her frustration with sales-driven models inspired her to reimagine tech matchmaking from the ground up. If you're tired of cold calls, spammy vendors, and feeling like a target instead of a partner, this episode will resonate with you.Tune in to hear:The real problem with legacy lead generation and “demand creation”How Technology Match flips the script to prioritize IT buyers’ needs, privacy, and timingWhy the pandemic was a catalyst for a better way to serve tech leadersThe inspiration behind designing a Bumble-style, buyer-led marketplace for techTonya’s call to transform the industry through truth-based marketing and respectful connectionsLinks & Resources: 🔗 Learn more: TechnologyMatch.com 📧 Contact Tonya: [email protected] 💼 Connect on LinkedIn: Tonya Turrell

In this premiere episode of Between Fires and Futures, host Tonya Turrell sits down with Dell Technologies’ Chief Technology Strategist, Allen Clingerman, to cut through the AI noise and get clear on what tech leaders actually need to know. With over 30 years of enterprise tech experience, Allen shares what’s really happening in the field—from major fires IT leaders are putting out daily to the critical infrastructure and mindset shifts required to lead through this next era of rapid AI adoption.They explore the practical use cases every org can start with, the biggest misconceptions holding teams back, and why speed—not perfection—is the new competitive advantage. Whether you’re a Fortune 50 CTO or a mid-sized IT director, this conversation is packed with the insights, frameworks, and real-world strategies you need to move from firefighting to future-building.Tune in to hear:The three biggest AI “fires” tech teams are facing—and how to solve themWhy AI is not just a tech problem but a business transformation driverThe #1 place every company (regardless of size) should start with AIWhat it really takes to move from pilot to production—and where most teams get stuckThe critical mindset shifts tech leaders must embrace now to stay aheadHow AI is transforming job roles (and why reskilling beats hiring)When to build AI solutions in-house vs. buy—plus a smart approach to ROIThe unexpected AI use cases that are revolutionizing retail, education, healthcare, and logisticsAllen’s rapid-fire take on what to build, what to ditch, and how to make real progressMentioned Tools & Resources:NVIDIA AI Enterprise & Build.NVIDIA.com for skill-building and experimentationHugging Face + LM Studio for open-source LLM trainingDell AI Factory for integrated AI infrastructure solutionsReady to go deeper? → Visit TechnologyMatch.com to explore Dell AI Factory solutions → Connect with Allen directly: [email protected]