Ingram Micro sits down with Moses and Nick from TGIX to explore why so many AI initiatives stall out in proof-of-concept and never reach production. They break down TGIX's holistic approach to AI transformation — from infrastructure and data pipelines to security — and share real examples of helping public sector organizations modernize for the AI era.Key Takeaways🧩 Stitching it all together — Most AWS partners specialize in one lane (migration, data, security). TGIX's differentiator is a holistic view across infrastructure, data pipelines, and applications so nothing gets left disconnected.🏗️ Foundation before flash — Organizations chasing the newest AI models without solid technical foundations rarely scale past proof-of-concept; the ones that succeed invest in infrastructure first.🚗 Old architecture, new workloads — Cloud environments built pre-AI weren't designed for it (the "two-lane road" / "EV on horse-and-carriage roads" problem), so refactoring is often unavoidable, not optional.🎯 Work backwards from mission outcomes — TGIX starts every engagement by understanding the client's business/mission drivers, then identifies infrastructure and data gaps before recommending any AI buildout.Timeline00:00 – Welcome & introductions00:29 – What problems is TGIX solving?01:19 – Why AI requires a full technology overhaul02:13 – TGIX's nonprofit + GenAI competency combo03:33 – Do cloud environments need refactoring for AI?05:15 – What an AI transformation process looks like07:19 – Balancing speed vs. doing it right08:26 – Why you can't just "layer" AI onto old systems09:56 – Real transformation example: Medicare/Medicaid fraud detection11:47 – Staying ahead of AI instead of playing catch-up

What does "off the grid" actually mean — and is anyone ever truly disconnected? In this episode of the Jon Myer Podcast, JD, founder of CommandProm, breaks down what life is really like living off-grid on unzoned land in the Rocky Mountains of Montana.JD walks through how a school-bus RV "snowbirding" habit turned into a permanent, mortgage-free life off-grid: buying raw land on a whim, converting a one-room cabin into a full living space, and building a solar power system from scratch — all without giving up modern tech like Starlink internet, an Xbox, a 4K TV, or even AC.🚌 Off-grid didn't happen overnight — it started with weekend school-bus trips that grew into a full move. ⚡ Watts, not voltage, are what actually matter when sizing a solar system. 💰 Grid power quoted at $40K — solar ended up cheaper and more capable. 🔋 40,000 watts of battery storage covers overnight use, even in winter. 📡 Starlink + incoming fiber prove off-grid doesn't mean offline. 🛒 The real tradeoff is convenience — grocery runs are a half-day trip, not a quick errand. 🪓 Don't romanticize it — off-grid living is real work, so check local zoning first.YouTube Timeline (Chapters)00:00 – Introduction: What does "off the grid" really mean?00:35 – Where JD lives now: remote Montana, 5 miles from the mailbox01:44 – How it started: snowbirding in a converted school bus03:04 – Finding the land on Zillow and buying it on a whim07:34 – Life without indoor plumbing: outdoor bathroom & shower in Montana winters08:38 – Electricity reality check: $40,000 grid quote vs. DIY solar10:44 – Understanding watts: sizing a solar system that runs AC, dryer, and well pump13:49 – Battery bank capacity and surviving a week with zero sun17:11 – Staying connected: Starlink, incoming fiber, and remote work23:13 – JD's advice for anyone considering going off-grid

In this AWS Partner Spotlight, Ingram Micro sits down with Jagdish and Sunil from Prijal to unpack their AWS journey — from Kubernetes and observability solutions in production to cutting-edge Edge AI and conversational business intelligence powered by Amazon QuickSight. Hear how Prijal leveraged Ingram Micro's Accelerated Partner Program to compress their go-to-market timeline and unlock new customer opportunities.Key Takeaways🚀 Proven in production — Prijal has real, live AWS workloads (EKS-based containerized apps, observability tools) running for 1.5+ years, cutting mean time to repair by ~70%.🌐 Edge AI for disconnected environments — Prijal pushes cloud-trained ML models out to edge locations (defense, healthcare, utilities, manufacturing) so operations continue even when cloud connectivity drops, then syncs data back to keep models sharp.💬 Conversational BI with QuickSight — Instead of static dashboards, execs can ask natural-language questions on the fly and get dynamic visual answers — no waiting on the dashboard team.🤝 Ingram Micro as an accelerator — The Accelerated Partner Program gave Prijal templates, hands-on guidance, and executive access that dramatically shortened their path to AWS's next partnership tier.Timeline00:00 – Welcome & introductions00:32 – Who is Prijal?01:52 – AWS technical capabilities & certifications03:32 – Bringing "information dominance" to the cloud04:38 – What is Edge AI?06:58 – Edge AI in action: defense, utilities, manufacturing08:25 – Conversational BI with Amazon QuickSight11:41 – How Ingram Micro shaped Prijal's go-to-market strategy13:17 – "A game changer" — the partnership payoff14:06 – Closing thoughts

Ray from Project Host joins Ingram Micro's AWS Partner Spotlight to discuss how their 20+ years supporting government and regulated cloud workloads has evolved into a fast, flexible path to FedRAMP and DoD authorization for ISVs. Ray shares how Project Host recently helped clients achieve full FedRAMP authorization in under four months — and what their growing AWS and Ingram Micro partnership unlocks for software vendors trying to break into the federal market.Key Takeaways🏛️ From best-kept secret to go-to partner — After 20+ years quietly serving regulated cloud workloads, Project Host recently earned AWS FedRAMP High certification and is now leaning hard into visibility through the AWS and Ingram Micro ecosystem.⏱️ 4 months, not 2–3 years — Using a reintroduced sponsorship model, Project Host took ISV clients like Siemens and Jamis through full FedRAMP authorization in under four months — a new record compared to the traditional 9–12+ month (or multi-year) timeline.🤝 An extension of your team, not a consultant — Unlike a "figure it out yourself" or pure-consulting model, Project Host takes end-to-end ownership of compliance — from kickoff through continuous monitoring and annual re-certification.💰 80% of ISV clients are already on AWS — With authorization now in hand, Project Host is positioned to capture a large share of ISVs trying to sell software into federal agencies, backed by Ingram Micro's discounting and support infrastructure.Timeline00:00 – Welcome & introduction00:35 – Project Host's 20-year journey & FedRAMP High certification01:49 – Balancing compliance requirements with business growth04:01 – Lessons learned supporting regulated cloud environments05:03 – Who Project Host's typical customers are (ISVs)05:46 – What the compliance journey looks like start to finish07:27 – Typical timelines: 9–12 months vs. a 4-month fast track08:57 – How AWS and Ingram Micro complement Project Host's platform10:51 – Trends shaping the future of government cloud compliance13:03 – What sets Project Host apart

Sanjay from CloudGov — the engineer who led the launch of AWS Control Tower — joins Ingram Micro's AWS Partner Spotlight to unpack why cloud costs spiral out of control, why AI spend behaves nothing like traditional cloud consumption, and how CloudGov's Commitment Shield and Token Shield products bring real-time financial and security governance to multi-cloud, AI-driven enterprises.Key Takeaways🏗️ Governance without killing agility — Sanjay's Control Tower work at AWS proved you can give developers fast, self-service cloud access without sacrificing security — a principle CloudGov now applies to multi-cloud and AI governance.💸 Three teams, no accountability — Engineering doesn't see cost, finance doesn't understand usage patterns, and procurement isn't in the room when technical choices are made — creating a governance gap no single team can close alone.🏎️ "There's only one minute in a minute" — Unlike fixed cloud compute, AI token consumption has no ceiling, misaligning provider incentives (sell more tokens) with customer incentives (spend wisely) — the "Ferrari to the grocery store" problem.🔒 AI needs its own security layer — Traditional endpoint security tools weren't built to catch PII/PHI/PCI leaking into AI prompts; Token Shield intercepts sensitive data at the token level before it ever reaches the model provider.Timeline00:00 – Welcome & introduction00:27 – Lessons from launching AWS Control Tower02:18 – Applying that pattern to multi-cloud & AI governance03:05 – Why cloud costs are so hard to see and control05:31 – Why disciplined teams still overpay (the commitment problem)07:47 – Why AI spend behaves differently than cloud spend09:46 – The "Ferrari to the grocery store" problem & Token Shield10:57 – The deeper risk: who's using AI, on what data13:09 – Why Ingram Micro was the right distribution partner

Sam Price of GlobalMed joins Ingram Micro's Public Sector Partner Spotlight to discuss how satellite connectivity, portable telehealth clinics, and AWS-powered technology are closing the healthcare access gap for rural and underserved communities. Sam shares how GlobalMed partners with providers, government agencies, and acquisition platforms like SourceWell to get care moving fast — without the red tape.Key Takeaways🛰️ Technology finally caught up — Satellite connectivity, $50B in federal funding, and post-COVID telehealth adoption are converging at the same moment to make rural care access possible at scale.🚐 Clinics that come to you — GlobalMed's portable, trailer-deployed telehealth clinics can be set up in a parking lot in days, offering audiology, cardiology, dermatology and more without waiting on brick-and-mortar construction.🤝 Augmentation, not replacement — The tech is designed to make nurses, doctors, and PAs more effective — turning an on-site nurse into the "hands, eyes, and ears" of a remote specialist — not to replace clinical staff.📝 Procurement is the hidden barrier — Funding alone doesn't solve access; GlobalMed put its solution on the SourceWell nationwide contract so states can buy in without a lengthy RFP process and risk losing their funding window.Timeline00:00 – Welcome & introduction00:26 – What is rural health transformation, and why does it matter?02:30 – Satellite connectivity + $50B in federal funding03:40 – Bringing specialty care into the home06:03 – Are patients more honest with AI/telemedicine than in-person?07:52 – What is GlobalMed doing to drive rural health access?09:29 – Biggest barriers rural communities face10:20 – Inside the portable pop-up telehealth clinic11:35 – Making procurement easier via the SourceWell contract13:19 – How tech, partnerships & funding create sustainable solutions

On this episode of the Jon Myer Podcast, Will Horn — founder, CEO, and Managing Technologist at GDNA — explains why enterprise-grade AI has historically been out of reach for startups and SMBs, and how agentic AI is finally leveling the playing field. Will breaks down GDNA's "listening first" philosophy, the maturity curve businesses move through when adopting AI, and where he sees agentic B2B automation heading next.Key Takeaways🚪 The gap is closing, not gone — Enterprise AI capability used to require dedicated teams and budgets SMBs didn't have; agentic AI now lets small businesses attach directly to their own "ground truth" data and compete on the same level.👂 Listening is creation — GDNA's core philosophy: if you miss foundational alignment in the first 10–15% of a project, no amount of technical execution will fix a misdiagnosed problem.📈 AI adoption has a maturity curve — Most SMBs move from general tools (ChatGPT/Claude) → platform solutions (like Amazon Q) → fully bespoke builds, and the right fit depends on where a business actually is, not where they wish they were.🤝 Trust is the real transformation — The hardest part of adopting agentic AI isn't the tech, it's the behavioral shift of letting an agent take over logic work a person used to do themselves.Timeline00:00 – Intro: why enterprise AI has missed SMBs00:58 – Why enterprise AI keeps missing the companies that need it most02:20 – Attaching directly to "ground truth" data sources04:13 – Why listening first matters more than implementation07:19 – Meeting a business where it actually is09:29 – When companies think they need agentic AI (but don't)10:33 – Cutting through AI tool hype and noise12:09 – What a successful manual-to-agentic transformation looks like14:07 – Inside a typical GDNA strategy session15:30 – Where agentic AI and B2B automation are headed next🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

AI doesn't have a conscience - WE do! Jon Myer sits down with JD, founder of Command Prompt, to discuss the hard truths about AI accountability, open source survival, and why developers must OWN their code, regardless of whether AI wrote it!We explore the elephant in the room: all major AI models are trained on stolen intellectual property. But is that acceptable if it solves bigger problems? JD breaks down AI hallucinations, the concept of "AI slop," why business doesn't care about code quality (only product quality), and how legal contracts will hold developers liable for AI-written code!Plus: The future of open source requires chain of evidence, digital signatures, and human accountability. Students using AI for theses should FAIL. Gen X will never retire because we'll need to validate all this AI-generated garbage. And yes, AI will never truly CREATE - it only regurgitates and responds!🎙️ TIMELINE:0:00 - AI Accountability & Stolen IP Problem2:14 - AI Hallucinations & Code Review Required4:21 - Bad Actors & AI Slop6:36 - Validation Problem (AI Reviewing AI)7:29 - Business Doesn't Care About Code Quality10:31 - Open Source Role & Chain of Evidence13:10 - Power Structure & Who's Accountable14:40 - Assistance vs Dependence Explained15:03 - 20-Year Veterans Can Spot Problems16:01 - Students Using AI Should FAIL18:04 - Gen X Never Retiring (Validation Burden)19:55 - Screen Bans & Critical Thinking23:20 - AI Regurgitates, Never Creates24:35 - AI Can't Have Independent Ideas25:20 - Final Truth: Only Humans Build or Destroy🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization