Raw Data with Rob Collie breaks down the complex world of AI into practical actions for modern business leaders. With co-host Justin Mannhardt and expert guests, the show uses real stories to deliver clarity and confidence to turn your data into real business value. Catering especially to mid-market leaders who know their size isn't a limitation but a competitive advantage, Raw Data cuts through the hype with straight talk from people who've actually built, deployed, and lived with these systems in high-stakes environments. Whether you're a business leader drowning in AI noise or a data practitioner ready to get off the starting line, you'll get accessible breakdowns of technology that drives actual impact, confidence-building roadmaps for modernizing data analytics, and practical wins you can apply immediately. This isn't theoretical frameworks or jargon wallpaper; it's honest guidance from leaders who've been in your shoes and figured out what actually works, so you can too.
Raw Data with Rob Collie
Claim This Podcastby P3 Adaptive
Podcast Overview
Raw Data with Rob Collie breaks down the complex world of AI into practical actions for modern business leaders. With co-host Justin Mannhardt and expert guests, the show uses real stories to deliver clarity and confidence to turn your data into real business value. Catering especially to mid-market leaders who know their size isn't a limitation but a competitive advantage, Raw Data cuts through the hype with straight talk from people who've actually built, deployed, and lived with these systems in high-stakes environments. Whether you're a business leader drowning in AI noise or a data practitioner ready to get off the starting line, you'll get accessible breakdowns of technology that drives actual impact, confidence-building roadmaps for modernizing data analytics, and practical wins you can apply immediately. This isn't theoretical frameworks or jargon wallpaper; it's honest guidance from leaders who've been in your shoes and figured out what actually works, so you can too.
Language
🇺🇲
Publishing Since
10/13/2020
1 verified contact email on file for Raw Data with Rob Collie
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
June 16, 2026
Why Bigger AI Isn't Always Better
<p class="MsoNormal">Microsoft just unveiled a monster of a machine built for local AI. More memory. More horsepower. More everything.</p> <p class="MsoNormal">Which led Rob and Justin to a question that has almost nothing to do with the hardware.</p> <p class="MsoNormal"><strong>Are we already using more AI than the job actually requires?</strong></p> <p class="MsoNormal">This conversation starts with Microsoft's latest announcement but quickly turns into something much bigger. When do you actually need a frontier model? When is a smaller model just as good? And what happens when companies stop optimizing for the smartest AI and start optimizing for the right AI?</p> <p class="MsoNormal">It's a familiar pattern. New technology shows up, everyone assumes bigger is better, and eventually we learn that the best solution isn't the most powerful one. It's the one that's powerful enough. AI may be reaching that point faster than anyone expected.</p> <p class="MsoNormal">Along the way, Rob and Justin dig into the economics of tokens, why developers should think differently than everyday AI users, and why Microsoft's latest hardware announcement feels like it's missing a piece of the story. They don't pretend to have all the answers. Instead, they do what this podcast does best: pull on an interesting thread until a much better conversation emerges.</p> <p class="MsoNormal">If your first instinct has been to reach for the biggest model every time, this episode might convince you that the future belongs to the people who know when <strong>not</strong> to.</p>
June 9, 2026
What Happens After the AI Works?
<p class="MsoNormal">For the past few years, the conversation around AI has focused on the technology. Which model is best. Which tools to use. How fast everything is changing. But once you start building with it, a different challenge emerges. The technology is often the easy part. The hard part is everything else. The definitions that don't match. The documentation nobody trusts. The tribal knowledge living in someone's head. The processes that work only because a few key people know how to navigate around the mess. Business intelligence exposed some of these problems years ago. AI is exposing even more of them.</p> <p class="MsoNormal">For years, the people who cared about semantic models were mostly talking to each other. Everyone else had a simpler view: the dashboards worked, the BI nerds were overcomplicating things, and if a slightly different version of yesterday's question showed up, someone could always write more SQL. That worked well enough until AI agents became the ones asking the questions. Agents don't wait two weeks for a developer. They improvise. And the improvisation is different every time. That's the moment the semantic model stopped being a nice-to-have and started looking a lot more like a requirement. Every data quality problem that used to come home to roost the first time you built a dashboard is back, only now the list is longer. AI cares about policies, institutional knowledge, organizational context, and all the things that used to live quietly in people's heads. The one-version-of-the-truth problem just got a much bigger job description.</p> <p class="MsoNormal">Along the way, Rob and Justin compare notes from the front lines of building with AI, from multi-agent systems and knowledge management to the unexpected ways these tools behave once they leave the lab and meet real organizations. There's a book update in here too. Fair Game is officially available for pre-order, and Rob shares why the independent bookstore route matters more than most people realize. If you've been wondering what happens after the AI works, this episode is a pretty good place to start.</p> <p class="MsoNormal">Also in this episode:</p> <p class="MsoNormal"><a href="https://fairgamebook.ai/">Pre-order Fair Game: Customizing AI to Your Business Is Easier Than You Think</a></p> <p class="MsoNormal">Fortune: <a href= "https://fortune.com/2026/05/29/ai-developer-jobs-small-business-hiring-big-tech-layoffs/"> Big Tech is laying off developers. My company just hired its first. We're both right about AI (By Rob Collie)</a></p>
June 2, 2026
Absences, KPI Updates, Book Title and Pre-Order Bundle Reveal
<p class="MsoNormal">If you've listened to the podcast over the past several months, you've probably heard Rob mention "the book" a few times.</p> <p class="MsoNormal">Well, it's finally done.</p> <p class="MsoNormal">In this solo episode, Rob reveals the title, shares the story behind it, and talks about the question that sent him down the AI rabbit hole in the first place: what does this technology actually mean for normal businesses? Not Silicon Valley. Not billion dollar tech companies. The rest of us.</p> <p class="MsoNormal">What he found was both simpler and more surprising than expected. The farther he got from the headlines and hot takes, the clearer it became that AI isn't some magical new category of technology. It's a lot closer to the data, software, and business problems companies have been wrestling with for years. Which raises an interesting question: if AI is more approachable than most people think, why are so many organizations still standing on the sidelines waiting for someone else to go first?</p> <p class="MsoNormal">As it turns out, that question became a book. And this episode is the story of how it got there.</p> <p class="MsoNormal">Also in this episode:</p> <p class="MsoNormal"><strong><a href= "https://fairgamebook.ai/">Pre-order Fair Game: Customizing AI to Your Business Is Easier Than You Think</a></strong></p> <p class="MsoNormal">Fortune: <strong><a href= "https://fortune.com/2026/05/29/ai-developer-jobs-small-business-hiring-big-tech-layoffs/"> Big Tech is laying off developers. My company just hired its first. We're both right about AI (By Rob Collie)</a></strong></p> <p class="MsoNormal"> </p>
235 total episodes available
Deep-dive analytics for Raw Data with Rob Collie
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Raw Data with Rob Collie?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.