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

Tonya Turrell
  • 5.0 (6)
  • TECHNOLOGY
  • UPDATED WEEKLY

Between Fires and Futures is the podcast for modern tech leaders caught in the constant tension of today and tomorrow. It’s the space between daily firefights—cloud issues, AI hype, security breaches—and the visionary work of building scalable, resilient, future-ready organizations. Each week, we talk with the strategists, technologists, and innovators doing the real work of leading change. These are unfiltered conversations that expose the tradeoffs, wins, and lessons no one puts in the case studies. No spin. No fluff. Just pressure-tested leadership, real-world insight, and bold thinking. https://www.technologymatch.com/ 

  1. 2D AGO

    Your AI ROI Lives or Dies on Adoption with Robyn Anderson

    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-training https://www.linkedin.com/in/robynhansen/

    35 min

  2. FEB 23

    The Human Blindspot: Why Employees Still Fall for Scams with Cybersecurity Expert Robert Siciliano

    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-firewall https://www.linkedin.com/in/robertsiciliano/

    45 min

  3. FEB 16

    Leading IT Without Panic: Decisions, Security, and AI in a High-Pressure Era with Manuel Ruiz

    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-core https://app.technologymatch.com/solutions/unified-response https://app.technologymatch.com/solutions/unified-security https://app.technologymatch.com/solutions/unified-team

    49 min

  4. FEB 9

    The Invisible Load of IT Leadership: Pressure, Clarity, and Decision-Making in the AI Era with Dave Zaron

    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-cto https://app.technologymatch.com/solutions/the-foundry

    1h 4m

  5. FEB 2

    AI Grew Up Fast: Reasoning Models, Agents, and What Leaders Do Next with Dell’s Allen Clingerman

    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-factory https://app.technologymatch.com/solutions/dell-ai-pcs https://app.technologymatch.com/solutions/dell-ai-solutions https://app.technologymatch.com/solutions/dell-pro-ai-studio https://app.technologymatch.com/solutions/dell-pro-max-with-gb10 https://www.linkedin.com/in/clingerman/

    1h 5m

  6. 12/01/2025

    Toxic MSPs: The Silent Threat Inside Your IT Strategy with Z7’s Zack Aleksic

    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-services https://app.technologymatch.com/solutions/z7-solutions-staff-augmentation-services https://www.linkedin.com/in/zaleksic/ https://technologymatch.com/z7-msp-scorecard

    33 min

  7. 11/24/2025

    Cool Again: What IBM’s Reinvention Signals for IT Leaders Right Now with IBM’s Josh Kropf

    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/ kropfj@us.ibm.com https://app.technologymatch.com/solutions/ibm-watsonx-data-and-automation-services-and-solutions-wi… https://app.technologymatch.com/solutions/ibm-watsonxgovernance https://app.technologymatch.com/solutions/watsonx-ai-adoption-models-data-governance-for-measurable… https://app.technologymatch.com/solutions/steps-consulting-data-ai-services

    54 min

  8. 11/17/2025

    Stop the AI Chaos: How to Start Where It Actually Matters with Sciata CEO, Michelle Tinsley

    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-specialists https://app.technologymatch.com/solutions/project-design-implementation https://app.technologymatch.com/solutions/data-science-as-a-service Https://www.linkedin.com/in/michelle-tinsley/

    38 min
See All (22)

5
out of 5
6 Ratings

About

Between Fires and Futures is the podcast for modern tech leaders caught in the constant tension of today and tomorrow. It’s the space between daily firefights—cloud issues, AI hype, security breaches—and the visionary work of building scalable, resilient, future-ready organizations. Each week, we talk with the strategists, technologists, and innovators doing the real work of leading change. These are unfiltered conversations that expose the tradeoffs, wins, and lessons no one puts in the case studies. No spin. No fluff. Just pressure-tested leadership, real-world insight, and bold thinking. https://www.technologymatch.com/ 

Information