The Catalyst by Softchoice

Softchoice

A documentary-style podcast about how IT leaders tackle high-stakes transformations. Each episode weaves together real voices, expert insights, and compelling narratives that reveal universal challenges and practical wisdom. Season 7: "Small Teams, Big Dreams" explores the human stories behind IT transformations—from AI adoption experiments to burnout crises, from toxic job markets to infrastructure decisions that matter. These aren't polished case studies. These are authentic accounts from IT professionals navigating the same impossible gaps between expectations and resources that you face every day. From Softchoice, a World Wide Technology company.

  1. FEB 11

    The Multi-Cloud Mandate: How Agentic AI Became the Unexpected Answer

    Multi-cloud used to be a dirty word — something that happened to you through mergers, shadow IT, or teams gone rogue with corporate cards. But the walls came down, the standards converged, and best-of-breed finally seemed within reach. Then AI arrived with a whole new layer of complexity. Or did it? In this episode, we explore how agentic AI might actually solve the thing that made multi-cloud hard in the first place. Three cloud experts—Jack French from World Wide Technology, Alex Kozaris from Softchoice's AWS practice, and Ron Espinosa from Softchoice's Google Cloud team—break down what's changed, what matters for mid-market teams, and why the "gold record" might finally be possible.   Key Takeaways: • Why 90% of organizations are already multi-cloud (whether they planned to be or not) • How abstraction layers and platform engineering help smaller teams manage complexity • What each major cloud does best: AWS for builders, Microsoft for productivity, Google for data/AI • The compliance curve ball forcing some organizations into multi-cloud for AI governance • How agentic AI creates "connective tissue" that makes integration problems irrelevant   Featuring: • Jack French, Senior Director of Cloud, World Wide Technology • Alex Kozaris, Public Cloud Leader for AWS, Softchoice • Ron Espinosa, Google Cloud Category Director, Softchoice The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    27 min
  2. JAN 14

    The School’s Broken Episode: What AI Did to Education—And Who's Fixing It

    AI is transforming education—but not evenly, and not easily. In this episode of The Catalyst, we step inside classrooms, school boards, and districts, navigating the AI revolution with tight budgets, limited staff, and high stakes for students. From fears around cheating and data privacy to confusion over licensing and unused tools already paid for, this conversation reveals what AI adoption really looks like in public education. Featuring educators, IT leaders, and policy thinkers on the front lines, the episode explores what schools are getting wrong, what’s quietly working, and why the biggest barrier to AI in education may no longer be money—but people and readiness. You’ll hear from: Drew Olsson, Director of AI & Instructional Technology, Agua Fria Union High School DistrictSophie McQueen, Resource Teacher & Board Consultant, Conseil scolaire ViaMondeJosé Antonio Bowen, Senior Fellow, AAC&U; Author, Teaching with AISandali Amunugama, Microsoft Education Specialist, Softchoice Key takeaways: Why academic integrity fears are masking a deeper relationship problemHow most schools already have AI tools they aren’t usingWhat happens when AI costs drop—but training and trust don’tWhy meaningful adoption spreads teacher-to-teacher, not top-down This episode is a candid look at what it takes to move forward when guidance is unclear, expectations are high, and standing still isn’t an option. — Learn how Softchoice, a World Wide Technology company, helps public sector and education teams do more: softchoice.com/public-sector. The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    28 min
  3. 12/10/2025

    The AI Failure Episode: Why Asking the Wrong Question is To Blame

    When mid-market IT leaders call about AI, most ask the wrong question. Instead of “What problem are we solving?” they jump straight to “Which LLM should we use?” — a mindset that helps explain why 95% of AI pilots fail to deliver measurable business returns. In this episode, two of Softchoice’s leading AI experts — Sean Larkin, AI Principal Architect, and Ron Espinosa, Director, Google Cloud Category — break down why technology-first thinking derails AI initiatives before they start. From market validation to crawl-walk-run design, they reveal how organizations can escape the hype cycle and build AI solutions that actually work. Key takeaways: Why “What LLM should we use?” is the wrong first questionHow market validation prevents multimillion-dollar failuresWhy data hygiene is still the most overlooked riskWhat crawl-walk-run actually means in AI deploymentsHow executive alignment eliminates costly blind spots between IT and business teamsGuests Sean Larkin, AI Principal Architect, SoftchoiceRon Espinosa, Director, Google Cloud Category, SoftchoiceThis episode is packed with field stories, hard truths, and practical frameworks mid-market organizations can apply immediately. --- Take the first step in your AI journey Book your Executive Alignment Session today: https://www.softchoice.com/solutions/ai-and-data/executive-alignment-session The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    28 min
  4. 11/26/2025

    The AI Recruitment Episode: Why Tech Hiring is Getting Harder

    937 applications. 42 interviews. 80 days. That's what it took one experienced data scientist to land a job in 2025—and he's one of the lucky ones. In this episode of The Catalyst, we follow two tech professionals through what they call "the worst job market ever." Emily, a software developer with 10 years of experience and a degree from University of Waterloo's prestigious computer science program, gets laid off on a Tuesday and was interviewing the next day. Santiago, a data scientist and former manager at Deloitte, launches what he calls a "denial of service attack" on the job market—bombarding it with nearly a thousand applications while tracking every rejection in a dashboard styled like Super Mario. Both land jobs. Both consider themselves fortunate. And both say the system is fundamentally broken. Meanwhile, over 700 tech workers are being laid off every day while companies claim they can't find talent. Something doesn't add up. Through their stories and expert analysis from Bobby Burns, Vice President of R&D at Indeed, we uncover what's really happening: applicant tracking systems filtering out 75% of qualified candidates, AI conducting first-round interviews before humans ever get involved, and a catch-22 nobody can solve—where will senior developers come from in 2030 if we're not hiring junior developers in 2025? Key Takeaways: Why the "talent shortage" exists alongside mass tech layoffsHow applicant tracking systems reject 75% of resumes due to formatting issuesThe psychological toll of sending hundreds of applications into the voidWhat AI tools might (and might not) fix about hiring and fighting biasWhy even graduates from top programs can't get entry-level rolesRead about Emily's experience on her Medium: https://emilyxiong.medium.com/my-experience-of-finding-a-tech-job-in-2025-6830297c5197 --- --- This episode is brought to you by Softchoice, a World Wide Technology company. We work with mid-market IT leaders on their biggest challenges, including how to build and retain great teams in a market that makes it harder than ever. Visit softchoice.com to learn more. Listen now at: softchoice.com/podcast #TechJobs #Hiring #ITCareers #JobSearch #TechLayoffs #TheCatalyst #Softchoice The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    20 min
  5. 11/12/2025

    The IT Burnout Episode: Running on Empty

    Every night, IT professionals across the country go home and cry. They work until 10PM unpaid. They become "the guy" their entire organization depends on. They stay in toxic jobs because they feel guilty, or because people are counting on them, or because they simply can't imagine leaving. In this episode of The Catalyst by Softchoice, we follow two IT professionals through their burnout journeys. Sean stayed at a behavioral health nonprofit for years, supporting 1500 users with just two techs and management that thought IT "just helps people log in." He rebuilt the entire infrastructure while crying himself to sleep at night, driven by mission and what clinical psychologist Dr. Rick Ginsberg calls "responsibility handcuffs." John worked at a Manhattan company where he felt so grateful for his salary that he stayed through years of abuse and lies. He'd sit at his desk until 9 or 10PM—not because of emergencies, but because he had no energy left to stand up. One stayed and rebuilt his broken department into a world-class operation. The other escaped to his dream job doing Linux work. Both had to heal from trauma. And according to Business Insider, 57% of IT workers report the same burnout they experienced. Through their stories and expert analysis from Dr. Rick Ginsberg, we explore why burnout has become epidemic in IT, what the warning signs are, and—most importantly—what can actually be done about it. Key Takeaways: Why IT professionals are particularly vulnerable to "responsibility handcuffs"The difference between staying to rebuild and knowing when to leaveHow gratitude can become a trap that keeps you in toxic environmentsWhat managers need to do differently to prevent team burnoutWhy 76% of IT workers say job stress is getting worse every year------------------------------------------------------ This episode is brought to you by Softchoice Cloud Lifecycle Services Plus for Microsoft Azure. Get control of your Azure subscriptions, optimize your cloud spend, and access the technical support you actually need when you need it.  Visit softchoice.com/azurecls to learn more. The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    26 min
  6. 10/29/2025

    The AI Adoption Episode: Freedom & Frameworks That Actually Work

    What if the best employee AI adoption strategy is one most companies refuse to try? While business leaders rush to mandate AI from the top down, Softchoice discovered something counterintuitive: the most successful transformations happen when you let people experiment on their own terms. (Safely!) This episode takes you inside Softchoice's organic approach to AI adoption—from a VP who started experimenting with AI nine months before ChatGPT launched, to an engineering team that went from skepticism to shipping code in a single prompt, to a solutions architect who hit 300% of plan by letting AI handle his meeting notes. You'll learn: Why psychological safety beats corporate mandates for technology adoptionHow to balance experimentation with responsible guardrailsThe "crawl, walk, run" framework that scales innovationWhy one person with AI can match an entire marketing department's outputFeaturing: Craig McQueen, VP of AI Solutions, SoftchoiceAndrew Campbell, Engineering Manager – App Development & AI Solutions, SoftchoiceGeoffrey Whalley, Solutions Architect, SoftchoiceDanielle Ryterband, Associate General Counsel & Privacy Officer, SoftchoiceThis isn't just an AI story. It's a framework for how change actually happens in organizations—and how IT leaders can apply it to any transformative technology. --- This episode is brought to you by Arctic Wolf Incident Response. When a cyber attack hits, Arctic Wolf's insurance-approved team gets you back to business fast with 24/7 containment, digital forensics, and full business restoration. Learn more at softchoice.com/arcticwolf #ArtificialIntelligence #ITLeadership #DigitalTransformation #ChangeManagement #Softchoice #MidMarketIT #AIAdoption The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

    21 min

Trailers

4.8
out of 5
26 Ratings

About

A documentary-style podcast about how IT leaders tackle high-stakes transformations. Each episode weaves together real voices, expert insights, and compelling narratives that reveal universal challenges and practical wisdom. Season 7: "Small Teams, Big Dreams" explores the human stories behind IT transformations—from AI adoption experiments to burnout crises, from toxic job markets to infrastructure decisions that matter. These aren't polished case studies. These are authentic accounts from IT professionals navigating the same impossible gaps between expectations and resources that you face every day. From Softchoice, a World Wide Technology company.