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POV: exec thinks AI + ☁️ will magically fix 20 years of 🗑️ data

@kylercheatham

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Why it worked

The video uses a highly relatable 'POV' format that taps into common workplace frustrations, making it shareable for professionals in data and tech roles.

Summary

A corporate employee performs a skit illustrating the frustration of executives who believe that migrating to the cloud and using AI will automatically fix long-standing data quality issues. The video highlights the disconnect between high-level promises of 'built-in' data solutions and the reality of technical debt.

Structure

1Introduction of the executive's naive perspective
2The employee questions the feasibility of the claim
3The executive explains the 'magic' of the cloud
4The employee expresses skepticism about the 'Brita filter' analogy
5The employee concludes with the reality of running a business on bad data

On-screen text

POV: exec thinks AI + ☁️ will magically fix 20 years of 🗑️ data

Transcript

Huge news team. Okay? We are now an AI native, fully cloud enabled organization. I know, it's exciting. I clicked one button with our cloud partner, so we're basically done. Wait, so what about the master data, management, and cleansing initiative we've been working on for 60 hours a week for the last six months that we had to do prior to the cloud migration? That's the exciting part, right? This cloud, our cloud makes that completely unnecessary. So the vendor said just go ahead and pop it in there and their platform has that built in data quality. Um, okay, well that's not at all how that works but what do you mean by built in data quality? Because it's in the cloud, okay? It goes through our special cloud, it gets all cleaned, and then it comes out AI ready. It's like a Brita filter for numbers. They even showed me a slide, right? They proved it. The messy data went in, and the clean data came out with sparkles. It's literally built in to the architecture. So cool, right? Oh yeah, so cool for, I mean their quota. But for us, that means we're about to run an entire business on trash data because you trusted a slide with sparkles.