AI Data Prep Isn’t One and Done — Here’s How Aparavi Keeps You Ready

Good AI Requires Great Data. Continuously.

If you’ve read Gartner’s recent article, “You Need a Data-Centric AI Strategy — and It Starts With Data Prep”, you probably nodded your way through the entire thing. We did too. Because at Aparavi, we live and breathe data prep and we know firsthand how messy, complicated, and ongoing it actually is. 

Gartner nails it when they say: 

“Most data used in AI initiatives is not ready for AI. It needs to be enriched, cleansed and transformed before it can be fed into an AI model.” 

Yes. A thousand times, yes. 

But what we really want to talk about is what happens after that initial transformation. Because data prep isn’t a set-it-and-forget-it process. Your data landscape is constantly shifting – new files are created, old ones are archived, formats change, duplicates multiply, and suddenly the “clean” dataset you trained your model on… isn’t so clean anymore. 

And here’s the problem: AI doesn’t just need prepared data. It needs continuously prepared data. 

 

The Data Problem Behind the AI Problem 

We see companies invest millions in building and training large language models or integrating GenAI tools, only to find the results underwhelming. Why? Because the data was either irrelevant, outdated, poorly classified, or flat-out inaccessible. 

Gartner puts it bluntly: 

“Without data-centricity, enterprises risk wasting time and money building models that don’t work in the real world.” 

As Gartner references, 60% of AI projects will be abandoned due to this problem. That’s why the Aparavi Data Suite exists: to make sure your data does work in the real world AND for your AI. 

 

Data Readiness, Not Just Data Preparation 

The truth is, data prep isn’t just a phase in your AI lifecycle. It’s the foundation. And like any foundation, it needs upkeep. 

“AI data prep is a process — not a project,” as Gartner wisely notes. 

That’s exactly how we approach it. 

Aparavi isn’t here to give you a one-time fix. We’re here to give you a reliable, scalable, and intelligent way to manage your unstructured data, so you can trust what goes into your AI and trust what comes out of it. 

 

Ready When Your AI Is 

If you’re building, deploying, or scaling AI across your business, ask yourself: Is your data really ready?  If it’s not, we should talk. Because at Aparavi, we don’t just prep data for AI, we keep it ready. 

 

Let’s make your data work for your AI, not against it.

 

Reference: Gartner (2025)