เกี่ยวกับพอดแคสต์นี้ 🔗
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.
ผู้จัด:
ความถี่ในการอัพเดต:
every 9 days
ความยาวเสียงโดยเฉลี่ย:
58 minutes
สัมภาษณ์แขก
ภาษาอังกฤษ
สหรัฐอเมริกา
246 ตอน
ตั้งแต่ 13 ตุลาคม 2020
episodic
AUDIENCE OF THIS PODCAST 🔗
~92.45% of listeners are from United States.
🇺🇸
US
92.45%
🇬🇧
GB
1.22%
🇫🇷
FR
1.22%
🇺🇦
UA
0.87%
🇮🇳
IN
0.70%
🇧🇷
BR
0.52%
🇦🇷
AR
0.35%
🇩🇪
DE
0.35%
🇨🇦
CA
0.35%
🇯🇵
JP
0.35%
🇷🇴
RO
0.17%
🇵🇰
PK
0.17%
🇸🇬
SG
0.17%
🇨🇴
CO
0.17%
🇵🇹
PT
0.17%
🇸🇨
SC
0.17%
🇲🇽
MX
0.17%
🇦🇿
AZ
0.17%
🇪🇬
EG
0.17%
Others
0.09%
* Data source: directly measured on Listen Notes. แบบเรียลไทม์
ตอนล่าสุด 🔗
There are two ways to build backwards. One starts with the answer you actually want and works its way toward the plumbing. The other starts with the plumbing and hopes the answer is in there somewhere. Consulting has historically been awfully fond of option two.
AI makes that harder to defend. Whe…
ตอนก่อนหน้านี้ 🔗
Rob has a lot of Claude folders now.
One knows the book. Another knows the company planning. Others have picked up meeting notes, briefing docs, LinkedIn ideas, strategy work, and whatever else was useful enough to save at the time. None of this felt like a problem while it was happening. Quite th…
For a minute there, it looked like the AI wars would come down to who built the smartest model. Rob's not buying that anymore.
Take Claude. Rob's increasingly convinced that what makes Anthropic so sticky isn't Claude itself. It's Claude Code. It's Cowork. It's the software wrapped around the mode…
For years, businesses learned that having data and being able to use it are two very different things. We cleaned it, structured it, modeled it, argued about which version was the truth, and built entire careers around making messy information useful. Now AI is creating the same problem all over ag…
There's a new word for what your team is doing with the AI you bought them. You're not going to love it.
"Botsitting." Babysitting, but for bots. Journalists are suddenly all over it, and not one of the AI people Rob asked had ever heard of it. New name, familiar burn. Turns out mandating AI usage…
For most of tech history, the new thing belonged to the new people.
Then AI showed up and ruined a perfectly good pattern.
Because the smartest model on the planet can know darn near everything and still have no idea how your company works. It doesn't know which rules matter, which ones everyone …
There have always been people who can't help themselves. Give them a clunky process, a messy spreadsheet, or a problem nobody owns, and they're already halfway to building something better. Rob calls them crafters. They were valuable before AI. They're becoming indispensable because AI rewards exac…
AI can write code faster than most of us can describe the problem. That's the good news.
The catch is that building software has never just been about writing code. It's about making decisions today that won't come back to haunt you six months from now. In this episode, Rob and Justin unpack what …
AI headlines have already moved on to the deep end. Most businesses haven't.
Every week brings another headline about what's next for AI. Build your own model. Train your own LLM. Customize everything. It's exciting, unless you're one of the thousands of companies still trying to answer a much sim…
For about two years, we've all been reaching for the biggest hammer on the wall because someone else was paying for the nails. If you were on a subscription, you grabbed the biggest, baddest model on the menu and used the crap out of it. Two hundred dollars a month for work that would have cost tho…
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