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On the show
Recent episodes
AI Didn't Replace These Workers — It Gave Them Their Mission Back | EP32
Jun 1, 2026
Unknown duration
Data Is My AI Strategy" — How UC Riverside Is Outrunning Organizations With Bigger Budgets | EP31
May 29, 2026
Unknown duration
Data Governance Led MERGE to an Unexpected Product | EP30
May 27, 2026
Unknown duration
AI Citizen Development in Construction? | EP29
May 25, 2026
Unknown duration
Shadow AI Agent Risk: It's Not Just the CISO's Problem | EP28
May 22, 2026
Unknown duration
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 6/1/26 | AI Didn't Replace These Workers — It Gave Them Their Mission Back | EP32 | AI agents for non-emergency calls are solving a problem that policy, process changes, and hiring couldn't fix for nearly a decade. At 911 centers across the United States, the majority of incoming calls are non-emergency inquiries — parking tickets, road obstructions, animal control — handled by operators trained for life-or-death situations. Viiz Communications built conversational AI agents on Google's Contact Center as a Service (CCaaS) platform to intercept those calls, provide full responses, and keep humans focused on emergencies. Chad Brothers, VP of emergency services programs at Viiz, explains how the company recognized a massive problem — skilled 911 operators drowning in work that didn't require their expertise — and built an AI solution that the industry had been waiting years for. You'll hear why one of the most cautious industries in America adopted AI faster than anyone expected, how Viiz proved the concept internally by taking QA coverage from 1.5% to 85% of calls in less than two weeks, and what every organization can learn about protecting skilled workers' time and mental capacity for the work that truly requires human expertise. Talk to an Insight specialist about Insight AI solutions because you'll get a clear path from one operational friction point to measurable AI results — the same approach that worked in this risk-averse industry: https://ips.insight.com/en_US/what-we-do/expertise/data-and-ai.html Subscribe to Insight On for new episodes every week. #AI #AIagents #PublicSafety #ContactCenter #InsightOn Chapters (5–12) 00:00 — Welcome and introduction 02:18 — What Viiz Communications does 03:02 — Why this AI story flips the job displacement narrative 04:32 — The 911 staffing crisis explained 07:32 — 60% of 911 calls aren't emergencies 09:51 — What Viiz built with Google CCaaS 11:12 — How emergency calls still reach humans 12:49 — Why a risk-averse industry adopted AI fast 15:37 — The parallel to every knowledge worker 17:35 — How to start with AI in your organization 19:27 — The QA agent that 3Xed output in days 22:20 — Homework for every listener | — | ||||||
| 5/29/26 |  Data Is My AI Strategy" — How UC Riverside Is Outrunning Organizations With Bigger Budgets | EP31 | Most organizations spend months gathering requirements before a single line of code gets written. UC Riverside's CIO Matthew Gunkel is compressing that entire cycle into a single day — running live design sessions where stakeholders walk in with a problem and walk out with a working application spec built in real time using AI. In this conversation, Gunkel explains why his AI strategy starts and ends with data — not models, not agents — and how UC Riverside's lack of legacy data infrastructure became an unexpected advantage, letting them skip traditional data warehouses entirely and move straight to vector databases and graph knowledge. He also shares how the university is deploying AI agents for student wellness outreach and procurement, using Notebook LM as a classroom RAG tool, and why the most practical AI skill you can learn right now has nothing to do with code. This is the final episode in our citizen development series. Catch up on earlier episodes with Joseph Schultz and Jason Dittmer [link pending] for the full picture of how individuals and organizations are building their own solutions. Contact an Insight AI specialist because you'll get solutions tailored to your data maturity, infrastructure, and use cases — not a generic platform pitch: https://www.insight.com/en_US/what-we-do/expertise/data-and-ai.html Subscribe and follow Insight On for new episodes every week. #AI #DataStrategy #HigherEducation #CitizenDevelopment #InsightOn Chapters (8) 00:00 — Welcome and introduction 00:38 — Citizen development at institutional scale 03:06 — Change management at the speed of AI 04:00 — Live design sessions that replace months of planning 06:05 — Procurement and student wellness AI use cases 10:14 — Authentic assessment and AI in education 13:28 — Why data is the AI strategy 18:25 — The case for learning folders and markdown | — | ||||||
| 5/27/26 | Data Governance Led MERGE to an Unexpected Product | EP30 | Most organizations are sitting on fragmented data from dozens of sources with no fast way to normalize it, query it, or get answers. MERGE had the same problem — and what they built to fix it internally became a product their clients needed too. In this conversation, Jason Dittmer, SVP of TechOps at MERGE, explains how his team built an automated pipeline on Google Cloud (BigQuery, Looker, Gemini, Google SecOps) to solve their own data fragmentation problem — cutting normalization time from weeks to minutes. Then they heard the same pain from clients and shipped it as a marketplace product. One healthcare client now runs 30 disparate data sources through the same pipeline. If you're thinking about how to productize your own internal AI work, this breakdown of moving from efficiency to revenue is worth reading alongside the episode: https://www.insight.com/en_US/content-and-resources/blog/from-efficiency-to-revenue-productizing-enterprise-ai.html Jason also breaks down MERGE's "Drink Your Own Champagne" philosophy — the idea that you should prove a solution internally before ever bringing it to a client. He shares what it takes to move past the pilot phase, and how MERGE's Humanity Suite puts the human factor at the center of AI-powered marketing. If you're still sorting out what AI agents can actually do in this context, the AI agent cheat sheet is a good companion: https://www.insight.com/en_US/content-and-resources/guide/the-ai-agent-cheat-sheet.html This is the second episode in a series on organizations building AI solutions from the inside out. In the first, Joseph Schultz at JE Dunn Construction explains how field workers with no coding background are building their own AI-powered tools: https://youtu.be/rf8MyG22FnA?si=bs2jyJ2u_1_PO66N Book an Insight AI Readiness and Governance Workshop because you'll get a clear framework for moving your AI projects from pilot to production: https://www.insight.com/en_US/content-and-resources/solution-briefs/ai-adoption-with-ai-readiness-governance-workshop.html Subscribe to Insight On for more conversations with the leaders building what's next. Chapters (5–12) 00:00 — Welcome and introduction 01:32 — What MERGE does and what's on Jason's desk 03:17 — Drink Your Own Champagne explained 05:06 — The internal data problem that started it all 08:27 — What made this solvable on Google Cloud 10:50 — Three months from idea to internal product 12:14 — Surprising insights from contextually aware data 13:13 — The Humanity Suite and infinite individualism 16:07 — Could this have happened a year ago 17:30 — How AI perception changed inside MERGE 18:30 — What's next for MERGE 19:22 — Advice for leaders stuck in the pilot phase #AIDataPipeline #GoogleCloud #EnterpriseAI #AIPilotToProduction #InsightOn | — | ||||||
| 5/25/26 | AI Citizen Development in Construction? | EP29 | Construction delays cost money. An accidental utility strike during excavation can derail project timelines. Daily safety conversations that become checkbox exercises put crews at risk. These are problems construction teams have dealt with for years — but until recently, the people closest to them had no way to build their own solutions. AI changed that. In this episode, Joseph Schultz, VP of mission critical at JE Dunn Construction, explains how his team's citizen development program gives field workers — people with no coding background — the ability to build AI-powered tools that address the specific problems they face every day. A superintendent built a dig permit app that ensures no crew breaks ground without the right information. AI now listens to daily safety conversations and flags when a crew is going through the motions instead of genuinely assessing risk. This isn't a story about one company. It's a model for any organization where the people doing the work know exactly what's broken — and just need the tools to fix it. See how other organizations are putting AI into practice: The Sherlock Company automates creative content at scale: https://www.insight.com/en_US/content-and-resources/case-studies/the-sherlock-company-automates-creative-content-at-scale-with-vertex-ai-and-sada-services.html Insight's own AI playbook for internal transformation: https://www.insight.com/en_US/content-and-resources/case-studies/case-study-the-ai-playbook-ai-transformation.html Ready to move from AI hype to AI problem-solving? Request a Prism workshop because you'll get a prioritized AI roadmap in less than two weeks — no months of discovery, no generic advice: https://www.insight.com/en_US/what-we-do/methodology/insight-prism.html Subscribe for more conversations with the leaders putting technology to work. #AIinConstruction #CitizenDevelopment #DataCenterConstruction #InsightOn #ConstructionTech Chapters (5–12) 00:00 — Welcome and episode introduction 01:20 — Meet Joseph Schultz of JE Dunn Construction 02:46 — What JE Dunn does and the hyperscaler relationship 04:00 — How generative AI enhances construction communication 05:01 — AI reducing meetings and improving field engagement 07:10 — Finding blind spots before they become problems 07:41 — Limitations of AI in construction 09:13 — What citizen development looks like on a job site 10:50 — The dig permit app that prevents utility strikes 13:06 — AI for job safety analysis and crew conversations 16:18 — More time on people and less on documentation 17:28 — Advice for leaders starting with AI in physical industries | — | ||||||
| 5/22/26 | Shadow AI Agent Risk: It's Not Just the CISO's Problem | EP28 | Shadow AI agent risk has moved from information risk to operational risk in less than six months — and that shift means accountability no longer sits with the CISO alone. Vivek Menon, CISO and Head of Enterprise Data at Digital Turbine, explains why the COO, CMO, and CFO are now on the hook when an agent acts without human review. In this conversation, you'll learn how shadow agent risk differs from shadow AI and shadow IT, why Vivek builds governance to the EU AI Act as his North Star even for US operations, and what "survivable, auditable, explainable" actually looks like when an incident reaches auditors at a public company. If you're still getting up to speed on what agents actually are, the AI Agent Cheat Sheet breaks it down: https://www.insight.com/en_US/content-and-resources/guide/the-ai-agent-cheat-sheet.html Vivek also shares the one hiring metric that tells you whether AI adoption is working — and why zero friction in AI tools is a red flag, not a feature. For more on the questions executives are asking behind closed doors about agents, check out our companion episode: https://www.insight.com/en_US/content-and-resources/insight-on/what-executives-are-too-embarrassed-to-ask-about-ai-agents-answered.html This episode wraps our series on the agent economy. If you're building an AI transformation playbook, see how one organization approached it: https://www.insight.com/en_US/content-and-resources/case-studies/case-study-the-ai-playbook-ai-transformation.html — and learn more about Insight's full AI services and capabilities here: https://www.insight.com/en_US/what-we-do/expertise/data-and-ai.html Book a Radius strategy workshop because you'll get a structured path to AI governance and agent readiness tailored to your environment: https://www.insight.com/en_US/what-we-do/methodology/radius-business-strategy-workshops-and-planning.html Chapters (5–12) 00:00 — Welcome and introduction 01:35 — What Digital Turbine does 02:18 — What CISOs admit to each other behind closed doors 03:01 — Shadow IT to shadow AI to shadow agent risk 04:33 — Why AI agent risk is now an operational risk 05:32 — What a survivable AI incident looks like 07:03 — Pressure on CISOs to not be the department of no 08:45 — Red flags when new AI capabilities launch 10:04 — How a dual mandate in security and data helps 12:35 — How business units get green-lit to build agents 15:38 — Managing AI governance across 10 regulators 17:36 — Biggest productivity gain from AI so far 20:53 — How to detect shadow agent activity in your team #AIAgents #ShadowAI #CISO #EnterpriseAI #AIGovernance | — | ||||||
| 5/20/26 |  AI Agent Governance at Scale: Stagwell's Marketplace Model | EP27 | AI agent sprawl is one of the fastest-growing governance challenges for any organization with multiple teams building agents — and Stagwell solved it by building an internal marketplace. In this episode, Merrill Raman, Global CTO of Stagwell, explains how the company's network of 70+ marketing and advertising agencies build, publish, share, and license AI agents through a centralized Agent Cloud — with real financial incentives for the teams that create them. Merrill explains how Stagwell applies the 80/20 rule to technology standardization, why agent discoverability is the antidote to agent sprawl, and what the emotional journey of AI adoption actually looks like for leaders and their teams. He also shares why you should redesign your workflow before applying AI — not after. Download our AI terminology cheat sheet: [AI Terminology Cheat Sheet link] Talk to an Insight AI specialist because you'll get a direct conversation about how to govern and scale AI agents inside your organization: https://www.insight.com/en_US/what-we-do/expertise/data-and-ai/generative-ai.html Subscribe to Insight On for more conversations on the agent economy. Chapters (5–12) 00:00 — Welcome and introduction to Stagwell's agent story 01:12 — How Stagwell started building AI agents 02:09 — Why 70 agencies need a shared agent foundation 04:03 — What the Agent Cloud is and how it works 06:22 — How agencies publish and discover agents 07:46 — The internal licensing marketplace model 09:01 — Turning agents into SaaS revenue streams 11:30 — Agent examples: AI moderator for market research 13:13 — Keeping humans in the loop at agent scale 14:00 — AI-driven content personalization workflows 15:20 — Biggest lessons from the agent development journey 16:44 — The emotional arc of AI adoption for leaders #AIAgents #AgentGovernance #GenerativeAI #InsightOn | — | ||||||
| 5/18/26 |  AI Agents Explained: What You Might Be Getting Wrong | EP26 | AI agents are in every pitch deck and boardroom conversation — but the definition shifts depending on who's talking. In this episode, Miles Ward, CTO of AI at Insight, draws a hard line between chatbots and agents, explains what agent orchestration actually looks like in production, and gives you the three things you're "out of your mind" not doing right now. You'll learn the two-word test for whether something is actually an agent (persist and act), why headless agents cut cost and latency by eliminating the tokens you don't need, and how Mattel uses agent orchestration to move from quality control signals to supplier corrective action without human handoffs. Download the AI Agent Vocabulary Cheat Sheet: https://www.insight.com/en_US/content-and-resources/guide/the-ai-agent-cheat-sheet.html Explore Insight's Data and AI solutions because you'll see exactly how enterprises are building, governing, and scaling agentic AI in production: https://www.insight.com/en_US/what-we-do/expertise/data-and-ai.html Subscribe to Insight On for weekly conversations with the leaders building what's next. Chapters (5–12) 00:00 — Welcome and episode overview 00:57 — What is an AI agent vs a chatbot 04:33 — Where the line between chat and agent actually falls 05:34 — AI agent orchestration explained 08:12 — Mattel's agent orchestration in production 10:41 — What is an AI harness 13:07 — Headless agents and why they matter 15:31 — Which terms executives need to know now 18:10 — The question clients are too embarrassed to ask 18:30 — Three things every leader must do with AI right now 21:50 — The single most important thing to go do today #AIAgents #GenerativeAI #EnterpriseAI #InsightOn | — | ||||||
| 5/13/26 |  Lessons from GTT: Essential Moves to Learn Before Scaling Your AI Infrastructure | EP25 | Most enterprise AI factory deployments fail before they produce a single result — not because of the technology, but because of what companies skip before they build. James Karimi, CIO and CISO at GTT, shares the governance-first playbook that helped GTT stand up three AI factories across the US, EU, and UK in two months. The results? A two-week finance close reduced to one hour. Recruiters reclaimed 60% of their time in a given week. And that was just the beginning. Karimi breaks down the deliberate six-month pause GTT took after procuring infrastructure — before installing anything — and why that decision is the reason their AI operators are delivering real results today. He also gets into the combined CIO-CISO role, how GTT handled employee fear around AI job displacement with radical transparency, and what edge GPU deployment will look like in 2026 for enterprise network services. If you're evaluating AI factory infrastructure, trying to prioritize use cases, or figuring out how to get your organization to actually adopt AI — this conversation has the specifics. Take the IT Infrastructure Readiness Assessment to see where your organization stands before you build: https://www.insight.com/en_US/what-we-do/expertise/modern-infrastructure/it-infrastructure-readiness-assessment.html Explore Insight's modern infrastructure expertise: https://www.insight.com/en_US/what-we-do/expertise/modern-infrastructure.html Subscribe to Insight On for new episodes every week. Jump to… 00:00 — Introduction and the combined CIO-CISO role 02:09 — What GTT does and its global network scale 02:58 — How generative AI disrupted GTT's business 03:48 — What an AI factory actually is 05:44 — Early wins from three AI factory deployments 07:24 — The six-month data governance pause 09:58 — How GTT prioritizes AI use cases | — | ||||||
| 4/22/26 |  Stop Replacing Humans With Agents. It Doesn't Work That Way | EP24 | Most companies are asking the wrong question about AI — and a Stanford researcher's field work shows exactly where the returns break down. Melissa Valentine, professor at Stanford University, senior fellow at the Stanford Institute for Human-Centered AI, and co-author of Flash Teams, makes the case that AI workflow integration — not better prompting — is what separates real ROI from endless experimentation. In this conversation, Valentine shares findings from her research on why high-impact AI users think like product managers, why the org chart isn't dying but needs to be understood differently in an AI-powered organization, and why the efficiency narrative around AI may be leading organizations straight into the Turing Trap. Subscribe to Insight On for conversations with researchers, practitioners, and business leaders on the technology decisions that shape outcomes. 📖 Read Melissa's research: To Drive AI Adoption, Build Your Team's Product Management Skills: https://hbr.org/2026/02/to-drive-ai-adoption-build-your-teams-product-management-skills How to Make Enterprise Gen AI Work: https://hbr.org/2025/09/how-to-make-enterprise-gen-ai-work Flash Teams (book): https://www.amazon.com/Flash-Teams-Leading-AI-Enhanced-Demand/dp/0262049848 Jump to… 00:00 — Welcome and guest introduction 03:54 — The real reason companies aren't seeing AI ROI 05:18 — The copy-paste trap and integrated workflow problem 09:12 — The product manager mindset for AI adoption 14:18 — Overcoming resistance to workflow change 18:08 — Levels of AI maturity across organizations 25:29 — Is the org chart dying or just changing? 28:29 — Why one-to-one agent replacement is the wrong model 32:11 — What a working agentic system actually looks like 33:36 — Cognitive load and the hidden cost of AI-accelerated work 35:38 — How to bring a CFO along on AI transformation | — | ||||||
| 4/8/26 |  Why 'Good Enough' Infrastructure Fails in the AI Era | EP 23 | As AI shifts from experimentation to execution, the margin for "good enough" infrastructure disappears fast. In this episode of Insight On, Jillian Viner and Insight CMO Hilary Kerner check in on how AI sentiment has shifted over the past six months — from early experimentation to real pressure on teams, budgets, and expectations. Then, Hilary sits down with Cisco SVP Tim Coogan for a deeper conversation on infrastructure. They unpack why strategies that felt "good enough" just 18 months ago are already risky, how AI changes what scalable really means, and why infrastructure planning has become less forgiving. If you're making technology decisions that need to hold up under AI at scale, this episode is for you. Also… Is your infrastructure strategy prepared for AI? Answer these 6 questions and find out. Move your infrastructure from 'good enough for now' to 'ready for what comes next' with Insight. Jump to: 01:26 – Six months later — how AI sentiment has shifted 01:57 – From experimentation to real-world pressure 03:30 – Why optimism around AI is getting tested 05:10 – Transition to infrastructure and scale 05:40 – Why "good enough" no longer works 09:15 – AI and cloud at scale — either it works or it doesn't 14:30 – How AI changes infrastructure planning assumptions 18:50 – What leaders should rethink going forward | — | ||||||
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| 3/25/26 |  Why Canada's AI Adoption Is Slow Despite World-Class Talent (AI Sovereignty, SMBs, and Governance) — With Reem Gedeon | EP 22 | Canada produces world-class AI research talent — yet enterprise adoption still lags. In this episode of Insight On, Reem Gedeon, SVP and General Manager of Insight Canada, breaks down why that gap exists and what leaders can do next. You'll hear why 'AI sovereignty' can't be reduced to where a data center sits, why governance matters if people are already using AI personally, and why Canada's path to 'winning' runs through small and midmarket businesses. Key takeaways include a practical planning cadence (three-year direction, annual plans, quarterly check-ins) and a more useful ROI narrative that goes beyond cost reduction to quality and client impact. Subscribe for more conversations with leaders shaping technology decisions that impact people, budgets, and outcomes. | — | ||||||
| 3/11/26 | Inside the New Reality of AI at Work With Ethan Mollick | EP 21 | What if the real barrier to AI success in your organization is not the technology — it is how you lead it? In this Insight On episode, host Rob Green sits down with Ethan Mollick, author of Co-Intelligence, to examine the hard truths about AI adoption in the enterprise. They unpack why individual productivity gains can be significant while organizational results lag — and what leaders can do differently today. You will hear Ethan's take on the jagged frontier of AI capabilities, why co-intelligence beats replacement, and how cyborg and centaur models of work are already changing how teams operate. The conversation gets into security, ROI, and the organizational structures that either support or limit real outcomes. If you are making technology decisions that affect people, budgets, and outcomes, this is a conversation you cannot afford to sit out. Jump right to… 00:00: Welcome and why this episode matters 01:35: Meet Ethan Mollick and co-intelligence 03:18: How AI fills skill gaps and boosts output 04:40: The jagged frontier and edge experimentation 06:01: The ROI debate and what leaders miss 07:28: How AI quietly changes how work gets done 12:30: Security, privacy, and real risk shifts 18:10: Shadow AI, policy debt, and constraints 24:45: From pilots to transformation at scale 30:20: Why you need leadership, crowd, and lab 38:00: Closing thoughts and what to do now | — | ||||||
| 3/4/26 |  Inside Texans Credit Union's Bet on Cloud and AI at Scale | EP 20 | What does it take for a long‑standing financial institution to bet big on cloud and AI — and do it securely, at scale, in a highly regulated environment? In this episode of Insight On, host Jillian Viner talks with Ian Beirnes, VP of IT Systems at Texans Credit Union, about their multi‑year journey from aging, on‑premise systems to a cloud‑first, digital workplace built on Microsoft Azure and Microsoft 365. Texans Credit Union is targeting near‑total cloud adoption by mid‑2027, shifting time and energy away from maintenance and toward innovation and automation. Ian shares how the team expanded from serving the Dallas–Fort Worth metroplex to reaching members in all 254 Texas counties, supported by standardized, agile cloud infrastructure and full‑scale access to Microsoft Copilot. He explains why executive buy‑in was non‑negotiable, how the organization addressed long‑held assumptions about on‑prem security, and why Copilot's integration with Microsoft Purview gave them confidence to move forward on AI without introducing unnecessary risk. Jump right to… 00:00: Welcome/intro 13:35: Getting started with AI in financial services 14:37: Addressing security and data leakage concerns 14:59: Why Copilot made sense for Texans Credit Union 16:11: Redefining the role of IT partners 16:42: How Insight became a strategic partner 17:53: Measuring transformation outcomes and impact 18:19: Scaling innovation to serve every Texan You'll hear: How Texans Credit Union is planning for nearly 100% cloud‑based operations by mid‑2027 What changed when they shifted from maintaining hardware to designing for scale, standardization, and member experience How a crawl‑walk‑run approach to Copilot adoption created real "hours to minutes" wins for employees Why security and permissions were the deciding factors in choosing Copilot over other AI tools Listen now to hear how Texans Credit Union is betting on cloud and AI to serve every Texan, in every county — and what other financial leaders can take from their playbook. Is your infrastructure up for the job? Take the assessment: https://www.insight.com/en_US/what-we-do/expertise/modern-infrastructure.html 👉 Learn more: https://www.insight.com/en_US/campaigns/insight/2026-ram-shortage 📩 Have a topic you'd like us to cover? Let us know in the comments. | — | ||||||
| 2/25/26 |  What Charles Schwab Figured Out About AI Adoption That Most Companies Skip | EP 19 | There are two things most organizations skip when deploying Microsoft Copilot — and they happen to be the same two things that made Charles Schwab's rollout work. The first: structured discovery work done before a single license goes wide. Not assumptions about what employees need — actual conversations across the business about what's broken, what's too manual, and what no tool has ever fixed. The second: getting IT and security in the room first, not last. Howard Hecht, managing director of workplace technology at Charles Schwab, led the Microsoft Copilot rollout. He explains the discovery process Insight guided them through, how they structured training in deliberate layers, how they handled the "AI is taking my job" anxiety with data instead of talking points, and the real employee wins that made the case across the organization — including a marketing campaign that went from four weeks to 30 minutes, and a team member with dyslexia who described Copilot as brightening up her day. If you're planning a Copilot deployment or trying to get more out of one that hasn't landed the way you hoped, this is the blueprint. JUMP RIGHT TO… – 00:00 Welcome + cold open: Why the security team got the first Copilot licenses – 00:47 Introduction and episode overview – 02:19 The scale: where Schwab is today and where they're headed – 02:36 What drove the decision to move forward with Copilot – 04:42 Why Schwab partnered with Insight instead of going direct to Microsoft – 05:32 The homework no one does — mapping real problems before a single license goes out – 06:33 Early win: from a four-week campaign to 30 minutes – 08:10 A second early win: Copilot and accessibility – 08:48 Addressing the "AI is taking my job" anxiety – 11:51 The move Howard is most glad they made upfront – 13:21 What this rollout would have looked like without Insight – 17:47 Where Copilot puts Schwab ahead of competitors YOU'LL HEAR ABOUT: • Why the security team got the first 20 Copilot licenses — and how that single decision changed the entire rollout trajectory • The discovery process Insight guided Schwab through before any broad deployment • How they structured training so it built real capability instead of just checking a box • How to address the "AI is taking my job" anxiety with aggregate data instead of reassurances • What Howard says he would never skip if he had to do it all over again 🔗 See how Insight can you deploy AI that sticks: Microsoft 365 Copilot 🔗 Explore Insight's Data + AI practice: insight.com/data-and-ai 🎧 Subscribe to Insight On on Spotify, Apple Podcasts, and Amazon Music 🔔 Follow for new episodes every week | — | ||||||
| 2/18/26 |  VMware by Broadcom: Are You Getting What You're Paying For? | EP 18 | Your VMware renewal is coming. Are you ready? It's been about a year since Broadcom's pricing changes took effect, and for many organizations, the dust has not settled. In this episode of Insight On, host Jillian Viner sits down with Juan Orlandini — Insight's Chief Technology Officer — to get the straight talk on what's working, what's not, and what your team needs to know before you sign anything. Juan has spent the last year and a half helping clients navigate this transition. He breaks down why knee-jerk migrations are backfiring, what it actually means to unlock the full value of VCF, and how VMware fits into an AI-ready infrastructure strategy. He also walks through what's changed in the partner ecosystem and the one thing you should be doing right now if your renewal is on the horizon. JUMP RIGHT TO… 00:00 Welcome + intro 00:34 Still reaching for a stiff drink — sticker shock a year later 02:13 From à la carte to a Lego kit: what actually changed 03:46 The knee-jerk migrations that almost universally became painful 04:50 Don't be this person: the costliest mistake organizations are making 05:17 Buy into the vision or keep struggling: Broadcom's true private cloud 06:22 NSX, Aria, vSAN — what's sitting untapped and why 08:32 What orgs getting full value are actually doing differently 09:49 How VMware fits into AI-ready infrastructure 12:33 The partner ecosystem shrank — what to look for now 16:05 How to arm yourself before your next renewal YOU'LL HEAR ABOUT: • Why moving from VMware without a real architecture review almost always ends in pain • The shift from à la carte to the full VCF bundle — and how to make it work for you • Capabilities most teams aren't using yet — including the AI and GPU fleet management built into the suite • What a credible VMware partner actually looks like now (and what to stop tolerating) • The assessment Insight offers — and why Juan says do it even if it's not with us If your organization is still figuring out whether VMware by Broadcom is the right call, this episode is a must-listen. 🔗 Learn how Insight helps clients navigate VMware strategy: https://www.insight.com 🎧 Subscribe to Insight On on Spotify, Apple Podcasts, and Amazon Music 🔔 Follow for new episodes every week #InsightOn #VMware #Broadcom #VCF #PrivateCloud #ITInfrastructure #TechDecisions #CloudStrategy #AI #EnterpriseIT #InsightEnterprises | — | ||||||
| 2/11/26 |  Device Prices Are Rising. Here's How to Refresh Without Overspending | EP 17 | The RAM shortage is here — and device prices are climbing. OEMs are warning of increases that could hit 30% this year alone. So what do you do if you're the one managing the budget, the fleet, and the refresh timeline? In this episode of Insight On, host Jillian Viner sits down with Ian Murray, a devices strategist who works with IT leaders every week to build smarter procurement and refresh strategies. Ian breaks down what's actually driving the price increases, how long they're likely to last, and what you can do right now to avoid overspending without putting your workforce at risk. In this conversation, you'll hear: Why the 3-year refresh cycle is dead and what's replacing it How to use device telemetry and persona mapping to make data-driven refresh decisions instead of calendar-based ones How to extend the life of your current fleet without tanking productivity or security Whether a mixed PC and Mac environment could actually save you money Whether you're preparing for a budget meeting, rethinking your device lifecycle, or just trying to figure out what's hype and what's real about RAM-ageddon — this episode gives you a grounded, practical game plan. Ready to get ahead of the shortage with a smarter device strategy? 👉 Learn more: https://www.insight.com/en_US/campaigns/insight/2026-ram-shortage.html 📩 Have a topic you'd like us to cover? Let us know in the comments. | — | ||||||
| 1/28/26 |  How One Program Can Boost Enrollment, Attendance, and GPAs Simultaneously EP | 16 | What if one program could measurably improve enrollment, attendance, and GPAs — especially for the students your other initiatives aren't reaching? In this episode of Insight On, host Jillian Viner sits down with Joe McAllister, senior business development manager at Insight and former high school math teacher, to talk about how esports in schools do exactly that. Joe explains why a small investment — often around $5K — can scale into campus-wide impact, and why esports labs become multipurpose spaces for CAD, VR, graphic design, and more. You'll hear: How structured esports programs drive social-emotional learning, communication. and teamwork Why research shows no link between violent games and violent behavior — and what games schools actually choose to play How esports create equity for students of all abilities, including those in wheelchairs or with learning differences Where esports provide opportunities for college scholarships and unexpected career pathways (broadcast, marketing, IT, management) Practical steps to start small, justify the spend to your board, and grow from a $5K pilot to a campus-wide program Jump right to… 00:00: Welcome and why this topic now 02:10: From gamer to educator to esports leader 04:37: What esports really are in education 05:13: Busting the "isolated gamer" stereotype 06:29: Social-emotional learning in the esports arena 07:41: Health, fitness, and performance in gaming 10:32: Violence in games — what research actually shows 12:53: The most surprising benefit: student equity 16:47: Do esports end after high school? 17:01: Scholarships, college programs, and career paths 22:40: Making the budget case — especially in low-income schools 28:26: The minimum viable esports program (starting around $5K) 33:04: How to launch, measure impact, and scale campus-wide | — | ||||||
| 1/14/26 |  From 150,000 Failures to a 2030 Vision: How One Fire Chief Sparked Change EP | 15 | Chief Dan Munsey leads San Bernardino County Fire — one of the largest fire departments in the U.S. — and he's on a mission to make it the most innovative. In this episode of Insight On, Chief Munsey joins CEO Joyce Mullen to discuss why the fire service is the second slowest adopter of technology (behind only construction), how his team is building toward a 2030 standard instead of settling for today's baseline, and how public-private partnerships with companies like Insight and Microsoft are reshaping what's possible. You'll hear about: • Why there's no wildfire crisis — there's a wildland management crisis • The lie fire chiefs tell themselves about technology • How robotics, drones, and AI can keep firefighters out of harm's way • Building the public safety cloud to unify fragmented agencies • Leadership lessons on putting people first and having a bold vision Whether you're in public safety, enterprise IT, or any sector wrestling with legacy systems and cultural change, this conversation delivers practical insight on leading transformation at scale. Jump right to… 00:00: Welcome/intro 00:31: The fire service's technology adoption problem 02:42: Why jealousy is the greatest catalyst for innovation 07:23: Root causes behind the wildland management crisis 11:22: Redefining the fire chief's number one job 14:52: Building a 2030 technology roadmap 19:05: Creating the public safety cloud with Insight 28:23: Vision, partners, and the operational plan 30:56: Bold goals — fires at 10 square feet or less 37:20: Robotics wins and drone-first response 43:11: Three leadership principles for driving change 48:09: How firefighters learned to embrace robots | — | ||||||
| 12/17/25 |  Why AI Governance Isn't Compliance — It's Your Competitive Strategy EP | 14 | AI isn't just a compliance checkbox — it's a competitive advantage. In this episode, leaders from Insight and Commvault unpack why governance is critical for innovation, how to mitigate AI-driven cyber threats, and what "agentic AI" means for identity and security. Jump right to… 00:00 – Welcome and intro 00:46 – Why AI governance matters now 01:48 – Alan Atkinson on AI-driven cyber threats 05:26 – The rise of AI-powered attacks 06:20 – Jeremy Nelson: banning AI vs. embracing it 09:16 – Guardrails for safe AI adoption 11:11 – Mike Morgan on agile governance 14:05 – Securing experimentation with Microsoft Copilot 15:04 – Agentic AI and identity challenges 19:45 – Key takeaways and future outlook🎧 Listen now and subscribe for more tech leadership insights. Learn more: https://www.insight.com/en_US/what-we-do/expertise/cybersecurity/grc.html | — | ||||||
| 12/10/25 |  The Truth About AI Hype — And How Leaders Are Turning It Into ROI | EP 13 | AI is everywhere — but most leaders are still stuck between hype and hesitation. In this episode, Insight and Microsoft execs share how they're moving from experimentation to ROI. Hear how internal use cases and agents are improving sales prospecting, how an airline used AI to optimize staffing during weather disruptions, and why empowering non-technical teams is key to scale. Plus, Logitech's Alex Mooney explains how AI is transforming device interactions, and Insight's Agentic Field Lead Sunny Wang breaks down the three tiers of agentic AI. Jump right to… 00:00 – Welcome and intro 03:04 – Hilary Kerner (Insight) on why AI results don't match the hype 05:47 – Jeremy Nelson (Insight) on building the right AI team 07:46 – Mike Morgan (Insight) on culture, skills, and experimentation 12:02 – Julie Sanford (Microsoft) on being "Customer Zero" 16:43 – Julie Sanford (Microsoft) on culture and change management 19:17 – Bijah Gibson (Insight) on empowering non-technical teams 21:17 – Bijah Gibson (Insight) on airline staffing optimization with AI 23:07 – Alex Mooney (Logitech) on AI and device interactions 25:56 – Sunny Wang (Insight) on agentic AI and autonomous workflows 27:42 – Sunny Wang (Insight) on why humans still matter in AI workflows 30:02 – Closing thoughts and what's next 🎧 Listen now and subscribe: https://www.insight.com/en_US/content-and-resources/article/getting-ai-unstuck-how-to-win-over-your-cfo-and-scale-with-confidence.html https://www.insight.com/en_US/content-and-resources/case-studies/petai-an-ai-assistant-providing-personalised-pet-care-advice.html https://www.insight.com/en_US/content-and-resources/case-studies/the-sherlock-company-automates-creative-content-at-scale-with-vertex-ai-and-sada-services.html | — | ||||||
| 11/26/25 |  The Hidden Factors That Determine AI Success | EP11 | Adrian Gregory, President of Insight EMEA, shares what separates AI leaders from laggards — and it's not the tech. From internal prototyping to bold operating model shifts, Adrian explains why success starts with business outcomes, not algorithms. Learn why change management is the real differentiator, how to avoid "AI washing," and why bravery beats protectionism. Jump right to… 00:00:00 – Welcome/intro 02:14 – Why tech isn't the AI bottleneck 05:47 – The real role of change management 09:32 – Being your own client zero 13:05 – Why bravery beats protectionism 17:40 – Rethinking operating models for AI 21:18 – Rapid prototyping and internal testing 25:03 – What laggards get wrong 28:45 – Final thoughts and CTA 🎧 Explore more: • https://www.insight.com/en_US/content-and-resources/blog/real-world-ai-use-cases-delivering-roi-across-industries.html • https://www.insight.com/en_US/content-and-resources/blog/ai-agents-wont-replace-your-team-theyll-unleash-it.html • https://www.insight.com/en_US/content-and-resources/blog/why-your-organization-needs-model-context-protocol.html • https://www.insight.com/en_US/what-we-do/methodology/insight-prism.html | — | ||||||
| 11/24/25 |  Bonus from Microsoft Ignite: Frontier Firms, AI Adoption & Agentic Future EP | 12 | Live from Microsoft Ignite, this bonus episode features Alysa Taylor, Microsoft CMO for Commercial Cloud & AI, and Parker Johnston, Insight Agentic Field CTO, sharing what leaders need to know about AI adoption today. Jump right to… 00:00 – Welcome and intro 03:00 – Alysa Taylor: What is a Frontier Firm? 03:53 – Study insights: 3X ROI from AI 06:07 – The evolving role of partners 09:38 – AI in healthcare: Dragon Copilot 11:20 – Parker Johnston: Day two highlights and big announcements 12:32 – Agent 365 and security control plane 14:16 – Why failure is part of success 15:15 – Copilot and the future of work 17:40 – Misconceptions about Copilot adoption 19:20 – State of AI adoption: reality check 23:00 – Foundry and Model Router explained 24:11 – Closing thoughts and next steps You'll learn: • Why companies embedding AI into daily operations see three times higher ROI • What "Frontier Firms" are doing differently — and why it matters • How Microsoft's new Agent 365 and Foundry updates improve security and reduce costs • Practical steps for aligning Copilot with workflows instead of just buying licenses If you want real strategies for moving beyond pilots and hype to measurable outcomes, this episode is for you. 🎧 Watch now and subscribe for more business-focused tech insights. Resources: https://www.insight.com/en_US/what-we-do/methodology/insight-prism.html | — | ||||||
| 11/5/25 |  High-Performing Teams Aren't Using AI — They're Working With It | EP 10 | Agentic AI isn't just a buzzword — it's the next evolution of how high-performing teams work. In this episode, Michael Nardone, Cloud Solutions Director and Distinguished Technologist at Insight, joins Jillian Viner to explore how agentic AI is reshaping workflows, empowering employees, and driving business outcomes. From vibe coding to strategic imperatives for the C-suite, this is a must-listen for leaders navigating the AI era. Jump right to… 00:00:00 – Welcome/intro 00:00:03 – Why Agentic AI now – Urgency & tech adoption curve 00:00:29 – Tech eras – Internet → Cloud → Mobile → AI 00:01:36 – Defining Agentic AI – AI with decision-making power 00:03:58 – Ideas to execution – Agents completing tasks autonomously 00:05:00 – Workflow example – Automating onboarding with AI 00:06:58 – Game-changer – AI doing the legwork for you 00:09:39 – Human oversight – People enrich AI outputs 00:12:38 – Adoption reality – 48% use AI, maturity varies 00:15:01 – Enterprise use cases – Copilot, Azure AI, ServiceNow 00:17:01 – Healthcare example – AI fixing patient workflow errors 00:24:00 – Vibe coding – Creative coding flow with AI 00:26:38 – Accessibility – Lowering barriers for non-developers 00:31:18 – Agentic SDLC – Integrating AI into dev lifecycle 00:36:02 – Governance & risk – Guardrails and AI gateways 00:39:59 – Leaders' playbook – Key questions before starting 00:47:20 – Choosing platforms – Avoid lock-in, ensure flexibility 🎧 Watch now and subscribe for more Insight On: https://www.insight.com/en_US/content-and-resources/insight-on Explore more: https://www.insight.com/en_US/content-and-resources/case-studies/the-sherlock-company-automates-creative-content-at-scale-with-vertex-ai-and-sada-services.html https://www.insight.com/en_US/content-and-resources/article/getting-ai-unstuck-how-to-win-over-your-cfo-and-scale-with-confidence.html https://www.insight.com/en_US/content-and-resources/insight-on/why-pilots-fail-and-what-pragmatic-leaders-do-differently.html https://www.insight.com/en_US/content-and-resources/blog/a-cisos-guide-to-agentic-ai.html https://www.insight.com/en_US/what-we-do/expertise/data-and-ai.html | — | ||||||
| 10/22/25 |  20 Security Tips for Leaders Who Hate Surprises | EP 9 | Sensitive data in public AI prompts. Thousands of AI agents operating without oversight. An incident response plan that's just a PDF. These are the kinds of surprises security leaders hate — and Insight CISO Jason Rader has 20 ways to help you avoid them. Jump right to… 00:00 – Welcome/intro 02:58 – Tip 1: Use governance to enable innovation 04:20 – Tip 2: Treat AI agents like human users 05:42 – Tip 3: Apply Zero Trust to AI workflows 07:03 – Tip 4: Use segmentation to reduce blast radius 08:15 – Tip 5: Monitor AI behavior with telemetry 09:30 – Tip 6: Build layered identity controls 10:42 – Tip 7: Use frameworks even without AI standards 12:05 – Tip 8: Avoid hoarding data for "future AI" 13:18 – Tip 9: Reduce residual risk with retention policies 14:30 – Tip 10: Align security with business goals 15:45 – Tip 11: Run tabletop exercises for AI threats 17:00 – Tip 12: Focus on real incident response 18:12 – Tip 13: Avoid "incident theater" 19:25 – Tip 14: Build cross-functional security teams 20:40 – Tip 15: Use compliance as a strategic advantage 21:52 – Tip 16: Don't block tools — build guardrails 23:05 – Tip 17: Treat governance as a growth enabler 24:18 – Tip 18: Use AI to improve security operations 25:30 – Tip 19: Prioritize developer accountability 26:42 – Tip 20: Keep security programs flexible 28:00 – Wrap-up and CTA This episode is a holistic review of security best practices — from governance and identity to incident response and AI-specific threats. Insight CISO Jason Rader joins host Jillian Viner to share 20 practical tips for building resilient programs that support innovation without compromising control. Whether you're a security leader, IT architect, or business exec exploring AI, you'll walk away with clear, actionable insights you can apply today. Jason explains why governance is the real enabler of innovation, and how treating AI agents like human users helps teams apply Zero Trust principles to emerging workflows. He shares how Insight uses segmentation, telemetry, and layered identity controls to reduce risk — and why frameworks like NIST still apply, even without formal AI standards. The conversation also covers common missteps, like hoarding data for "future AI use," and how retention policies reduce residual risk. Jason dives into incident response readiness, sharing how tabletop exercises help teams prepare for threats like prompt injection, model manipulation, and unauthorized agent behavior. 🔗 Additional resources: Client Story: https://www.insight.com/en_US/content-and-resources/case-studies/mobile-gaming-leader-kabam-levels-up-defenses-with-security-deep-dive.html Ransomware readiness guide: https://www.insight.com/en_US/content-and-resources/gated/a-modern-approach-to-ransomware-readiness-ac1370.html | — | ||||||
| 10/15/25 |  Inside Man: What Threat Actors Know About Your Recovery Plan That You Don't | EP 8 | Insight CISO Jeremy Nelson walks through what smart cyber recovery looks like when your environment is already compromised. From executive missteps to AI-powered DeepFakes, Jeremy shares how to recover without making things worse — and how to spot the signs that your response plan isn't working. 🎯 Key takeaways: • How threat actors infiltrate response calls • Why rushing to restore backups can backfire • What "clean room" recovery really means • Why separating executive and technical bridges is critical Watch now to learn how to build a response plan that works — even when the worst has already happened. Does your security need backup? We've got you covered: https://www.insight.com/en_US/what-we-do/expertise/cybersecurity.html Related resources: • https://www.insight.com/en_US/content-and-resources/gated/a-modern-approach-to-ransomware-readiness-ac1370.html • https://www.insight.com/en_US/content-and-resources/solution-briefs/disaster-recovery-solutions.html • https://www.insight.com/en_US/content-and-resources/insight-on/ransom-attacks-are-the-new-heist-and-theyre-easier-than-you-think.html Jump right to… 00:00: Welcome/intro 07:45: First call after a breach 08:40: Tools for threat hunting 09:29: The three tiers of cyber incidents 10:24: When the business goes offline 11:06: Why a response plan matters 15:43: Leadership missteps during recovery 17:02: The danger of executive overreach 18:15: AI and DeepFakes in cyberattacks 20:10: Threat actors on the response call 25:44: The risk of rushing to restore 27:19: Why forensics must come first | — | ||||||
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