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Low-Tech Industries and High-Tech AI: a Great Match Explained Through Examples

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Manage episode 440390891 series 2798195
内容由Rob Collie and P3 Adaptive提供。所有播客内容(包括剧集、图形和播客描述)均由 Rob Collie and P3 Adaptive 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Rob and Justin explore how AI is making waves not just in tech-heavy industries but in everyday businesses like construction and manufacturing. They talk about how AI tools can help streamline processes, create custom solutions, and make even the most hands-on industries run smoother and more efficiently.

They dive into the common worry that AI will replace jobs, but they quickly turn that idea around. Instead of taking jobs away, AI is stepping in to handle repetitive tasks, allowing employees to focus on the big-picture work that sparks innovation and growth. It's not about replacing people—it’s about enhancing what they do best.

Rob and Justin also make the case that AI isn’t out of reach, even for companies that don’t see themselves as tech-savvy. With tools like Power BI and the rise of generative AI, businesses of all sizes can use AI to improve their operations without a major overhaul. AI is becoming more accessible, and it's something that can make a real difference no matter your industry.

Be sure to leave us a review on your favorite podcast platform to help new listeners find us!

  continue reading

189集单集

Artwork
icon分享
 
Manage episode 440390891 series 2798195
内容由Rob Collie and P3 Adaptive提供。所有播客内容(包括剧集、图形和播客描述)均由 Rob Collie and P3 Adaptive 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Rob and Justin explore how AI is making waves not just in tech-heavy industries but in everyday businesses like construction and manufacturing. They talk about how AI tools can help streamline processes, create custom solutions, and make even the most hands-on industries run smoother and more efficiently.

They dive into the common worry that AI will replace jobs, but they quickly turn that idea around. Instead of taking jobs away, AI is stepping in to handle repetitive tasks, allowing employees to focus on the big-picture work that sparks innovation and growth. It's not about replacing people—it’s about enhancing what they do best.

Rob and Justin also make the case that AI isn’t out of reach, even for companies that don’t see themselves as tech-savvy. With tools like Power BI and the rise of generative AI, businesses of all sizes can use AI to improve their operations without a major overhaul. AI is becoming more accessible, and it's something that can make a real difference no matter your industry.

Be sure to leave us a review on your favorite podcast platform to help new listeners find us!

  continue reading

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What happens when you hand off your Power BI output to ChatGPT and ask it to make sense of your world? You might be surprised. This week, Rob shares a deeply personal use case. One that ties together two major themes we've been exploring: Gen AI is reshaping the way we think about dashboards. To get real value out of AI, you need more than just data. You need metadata. And yes, that kind of metadata—the kind you create in Power BI when you translate raw data into something meaningful. Along the way, we revisit the old guard of data warehousing. The mighty (and now dusty?) ETL priesthood. And we uncover a delicious little irony about how the future of data looks a lot like its past, just with better tools and smarter questions. The big twist? We're all ETL now. But the "T" might not mean what you think it does anymore. Listen now to find out how a few rows of carefully modeled data, a table visual, and one really good AI assistant changed the game. For Rob and, just possibly, for all of us. Also in this episode: Blind Melon – Change (YouTube) The Data Warehouse Toolkit Raw Data Episode - The Human Side of Data: Using Analytics for Personal Well-Being…
 
AI agents are making big waves, but are they the future of business or just another passing trend? In this episode, Rob Collie and Justin Mannhardt explore the rise of AI agents, what they actually do, and why the excitement might be a little premature. They unpack the risks, the rewards, and how leaders can navigate the hype with a bit of caution and a lot of curiosity. Rob and Justin discuss the fine balance between automation and human oversight, tackling questions about when it's smart to embrace AI and when it might be better to pause. They also share thoughts on the current SaaS landscape, where new AI tools are popping up fast and why it pays to be thoughtful before jumping in. Ultimately, this episode is about finding clarity in a fast-moving space. It's about understanding where AI agents can add real value, where they might introduce unnecessary risk, and why critical thinking still matters. Rob and Justin reflect on the challenges of trusting AI, the dangers of locking into technology too early, and how the best decisions come from balancing curiosity with skepticism. If you're wondering how to separate the genuine innovations from the passing fads and how to be strategic about adopting AI in your business, this conversation is for you.…
 
Listener John sent in a classic question: should you build one all-encompassing data model, or should each part of your business have its own? If you think the answer is black and white, well, welcome to the world of data modeling, where nuance reigns supreme. Rob and Justin dive deep into the pros, cons, and inevitable mistakes of both approaches. Along the way, they call out the biggest modeling traps, expose the myths that make projects stall, and introduce a revolutionary new acronym: JGS (Just Get Started). Because, spoiler alert, the best data model is the one that actually gets built. This is an episode you won’t want to miss!…
 
Ever find yourself overthinking a problem until you’ve thought yourself right into a corner? Yeah, we’ve been there too. But what if there was a way to cut through the noise and just know when something is a good idea? Enter Miller’s Theorem, a simple but sneaky-effective thought experiment that’s been kicking around in our conversations for years. It’s the kind of thing that sounds like nonsense at first until it doesn’t. In this episode, we unpack how a casual visit to a bougie home décor store in Seattle turned into an existential crisis over tariffs, pricing psychology, and whether customers actually care if their overpriced alpaca throw just got 25% more expensive. But it’s not just about economics. It’s about how we make decisions, avoid self-inflicted complexity, and maybe stop outsmarting ourselves into bad choices. Also on the table: the contrapositive, the dangers of taking political soundbites at face value, and why abolishing the IRS is an idea so catastrophically bad it might actually make the Great Depression look like a mild inconvenience. It’s a wild ride through logic, business, and just enough existential dread to keep things interesting. Listen now, then hope over to LinkedIn and tell us what you think! Got a topic you would like to have Rob and Justin cover? Join our Raw Data by P3 Adaptive Steering Committee and let us know! Also in this episode: Pokerbots, Adware, and Burning Man, w/ Brad Miller & Kai Hankinson…
 
For years, dashboards have been the go-to for business intelligence. Built with the best intentions, loaded with visuals, and meant to empower decision-makers. But are they actually delivering? A recent Reddit thread raised a tough question: "Has anyone here moved away from dashboards as their main source of insights?" It’s not the usual “Dashboards are dead” hype. It’s a real challenge from BI pros who build them. The problem? Analysts say dashboards can’t keep up with how they really explore data. Executives and business users aren’t using them as intended, leading to more ad hoc requests, not fewer. The result? Dashboards end up underused, misused, or worse, ignored. In this episode of Raw Data , Rob and Justin cut through the noise and get to the heart of the issue. Are dashboards the problem, or is it how we’re designing and using them? And more importantly, what’s the right way forward? Also in this episode: Reddit discussion…
 
Ever sat in a meeting, watching a decision unfold that makes zero sense—bad for business, bad for employees—while the data that should be guiding the way is ignored? You’re not alone. In this solo episode, Rob Collie takes on a question that’s been circling for years: why aren’t more people with a data-driven mindset in leadership positions? The answer isn’t as simple as “because they should be.” There are deep-rooted reasons why persuasion often wins over precision and why data folks get stuck in support roles instead of calling the shots. But here’s the thing, change is possible. Whether you’re an analyst looking to break into leadership or a decision-maker wondering how to get the most from your data-savvy team, this episode is for you. Tune in as Rob unpacks the hidden forces at play, the skills that can help data professionals move up the ladder, and why learning the art of influence might be just as important as mastering the numbers.…
 
What happens when you mix fantasy football, data analytics, and a little bit of chaos? You get a conversation that refuses to follow a straight line—but somehow lands exactly where it needs to. Rob Collie welcomes back fantasy football guru Adam Harstad for his third appearance on Raw Data , alongside first-time guests Heather Zimmer and Molly Ferguson, two self-proclaimed newcomers who are anything but casual. They dive into the unexpected ways fantasy football rewires your brain, from strategic obsession to the unshakable belief that your lucky jersey actually controls the game. Adam breaks down the numbers behind the game—how expected points added (EPA) became the gold standard of football analytics and why your gut feeling about a "bad matchup" might just be a statistical illusion. Meanwhile, Heather and Molly prove that fantasy football isn’t just a game; it’s a full-blown data-driven lifestyle. Whether it’s crunching Power BI models for next season or convincing family members to clear out during game time, they’ve gone all-in—and they’re not looking back. But beyond the spreadsheets and the smack talk, this episode is about something bigger: the sheer joy of unexpected obsessions. Whether you’re in it for the data, the competition, or just the chance to prove someone wrong (we see you, Heather), fantasy football is a reminder that the best things in life are the ones you never saw coming. Also in this episode: Guide to EPA Protect the Spots with NO Bulletholes, w/ Adam Harstad Epistemic Path Dependency, w/ Adam Harstad…
 
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The world’s moving fast, sometimes too fast. Whether it’s AI taking over ad campaigns, fake LinkedIn profiles popping up, or the healthcare system extracting more than it gives, the threads connecting our modern chaos are all too clear. Misaligned incentives and unchecked technologies are reshaping industries, culture, and even how we trust each other. Progress can be exciting, but it’s also raising some tough questions: Are we losing our humanity in the race to optimize everything? Take Coca-Cola, the apex predator of branding. This holiday season, they swapped their usual creative mastery for AI-generated ads, and people noticed. The results weren’t just underwhelming; they were unsettling. It’s a perfect example of what happens when we try to replicate the human touch with machines that aren’t there yet. But this isn’t just about Coke. It’s about a broader trend of trading quality for convenience and innovation for cost-cutting—and the ripple effects it has on culture, trust, and livelihoods. This week, we’re unpacking the tension between innovation and integrity, exploring how businesses, governments, and individuals can find a better balance. From the rise of fake AI personas to headlights designed to cheat brightness tests, we’ll dig into what these examples say about the systems we rely on and what happens when those systems fail us. It’s a wild ride, but one thing’s for sure: the way forward has to be more thoughtful than the path that got us here.…
 
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Rob and Justin are back, catching up after a short break with an episode that’s part big ideas, part funny stories, and full of surprises. They kick things off with the Crutches Paradox. Their take on why we hang onto things we’ll probably never use, “just in case.” From there, the conversation moves into all kinds of unexpected territory: why politeness might not matter when working with ChatGPT, the infamous New Coke conspiracy theory from the 80s, and why some of the world’s top software engineers just don’t seem too concerned about AI. Rob even shares a few personal moments, including how his old Pontiac Bonneville managed to become a legend among tow truck drivers. Between the laughs and the thought-provoking moments, this grab bag episode has a little something for everyone. Whether you’re here to explore big questions or just enjoy a good story, this one will keep you hooked from start to finish. As always, if you enjoyed the episode, be sure to leave us a review on your favorite podcast platform.…
 
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