New look but still the same mix of business-serious insights and party-worthy takes on data, exposing the raw, unfiltered thinking behind real data wins.
The "How Long Has Rob Been Sick?" KPI has officially retired.
The "How Many Pages Has Rob Written?" KPI has retired too.
Which means there's finally a book title to reveal, a pre-order bundle to announce, and a few stories to tell along the way.
🔗https://t.co/UVrXw4bURJ
For years, semantic models were treated like backend plumbing.
Necessary. Kinda boring. Definitely not the star of the show.
Now AI shows up and people are suddenly realizing those models might be the only reason any of this works at scale.
🔗https://t.co/F8PaS5JQ7R
Leadership keeps saying the same thing: spend more on AI.
No target. No use case. Just go do something.
Meanwhile, the real wins are coming from people fixing the annoying Tuesday afternoon problems nobody else touched.
🔗https://t.co/zb6mpr1bJW
We changed the podcast handle.
We're now @RawDataWithRobCollie
Same podcast. Same conversations. Business, AI, leadership, and the occasional topic nobody expected to matter until it did.
See you there.
This episode isn’t really about healthcare.
It’s about what happens when AI stops waiting for systems to cooperate.
And just goes around them.
🔗https://t.co/zlvVslVONT
Same example. Completely different reactions.
One person sees real work getting done. Another thinks it’s overhyped nonsense.
They’re not arguing about the same thing. They’re operating with different context.
🎧https://t.co/FKoafrs5BX
This starts as a job hunt story.
It doesn’t stay one.
Because once the system is in place, the use case stops mattering.
Search
Filter
Verify
Track
Adjust
And that pattern is everywhere.
This is the shift from "help me think" to "handle the busy work."
🔗https://t.co/VHN6pUrwmm
If AI still feels like a toy in your world, you’re not wrong.
But that’s not the whole story anymore.
Some teams are getting real work out of this stuff.
If you missed this episode over spring break, listen now.
🔗https://t.co/T2LXERwgjY
There’s a moment when AI stops feeling like a toy
and starts doing real work.
Not a demo. Not a trick.
Actual progress while you’re still thinking.
If you haven’t hit that moment yet,
you might think all of this is overhyped.
🔗https://t.co/bzbwlSWSbw
Most AI still feels like it’s performing.
Looks & sounds good, but not actually that useful.
Then you hit something that hands you work you can use, and it resets your expectations.
That’s the shift we’re seeing. It came up in a big way this week.
🔗https://t.co/T2LXERwgjY
You can tell pretty quickly if an AI tool is the real deal.
If your first instinct is to rewrite it, it’s still a demo.
If your first instinct is to keep going, now we’re getting somewhere.
That line is moving. Not everywhere. But enough to notice.
🔗https://t.co/T2LXERwgjY
AI that lives off to the side: useful.
AI that lives inside your OneDrive, Teams, SharePoint, Outlook: different animal.
That's what we're talking about. New Raw Data episode.
🔗 https://t.co/kOsDx5th5K
AI can generate thousands of lines of code.
It can also chase the wrong answer for ten minutes straight.
Both things are true at the same time.
🔗https://t.co/i4MkVdrFhN
AI doesn’t create its own gravity.
You can’t drop a smart tool into orbit and expect behavior to reorganize around it.
We tried.
It drifted.
Raw Data this week is about sequencing, incentives, and why “technically correct” isn’t enough.
🔗https://t.co/gnP2ec5DHb
The future of knowledge work isn’t human vs machine. It’s human + machine.
Judgment drives.
AI accelerates.
That pairing is ridiculous.
🔗https://t.co/jncexT9qKQ
There’s an easy button for hard conversations now.
It’s called AI.
It writes the email.
It frames the argument.
It sounds smart.
And 95% of the time, nothing breaks.
This week’s episode is about the 5% that does and why that matters more than the 95.
🔗https://t.co/jncexT9qKQ
Agent frameworks everywhere. Every AI player's got one; some have more than one.
The companies moving fastest? They picked one and started building.
While others evaluate, they're learning what actually works.
🔗https://t.co/MxzF6niZ4a
Claude can update its own instructions when it spots problems. Live today.
But companies are waiting for the "right" framework to emerge.
Gap between capability and usage keeps growing..
🔗https://t.co/MxzF6niZ4a
Nobody learned to use Google by sitting through a training session.
You just... Googled stuff. And figured it out.
AI adoption works the same way. Exposure beats instruction every single time.
This week, Rob and Justin dig into why.
🔗https://t.co/VNLG4uZL8t
For the next generation, AI isn't a tool rollout. It's how you make things. Explore ideas. Plan a date.
They didn't need training. They just started using it.
This week, Rob & Justin dig into why exposure beats instruction & what that means for your teams.
https://t.co/VNLG4uZL8t