Die KI-Revolution ist eine Datenrevolution: Warum Speicherung wichtiger ist als je zuvor

The Human Story Behind the AI Data Boom

If you’ve been following the explosion of artificial intelligence, you know that data isn’t just another ingredient—it’s the entire kitchen. Globally, the AI industry is now worth nearly $400 billion, with experts projecting it will soar to an incredible $826 billion by the end of this decade. That kind of growth doesn’t happen in a vacuum; it rides on a tidal wave of data being produced, collected, and put to work in ways that would have sounded like science fiction only a few years ago. (read more)

Think about this: in just 2024 alone, organizations across the world generated around 7.2 zettabytes of data. For perspective, if each byte were a drop of water, you’d fill entire oceans. And this is only the beginning. By 2027, the world’s digital footprint is expected to reach a staggering 15.1 zettabytes—more than double today’s volume. Tech companies and IT departments everywhere are scrambling to keep up, searching for smarter, more robust ways to store and manage all of this information because data, in essence, is now their lifeblood. (read more)

It’s Not Just About Having Data—Quality is King

Yet, more data doesn’t automatically mean better AI. The real secret sauce? Quality. AI systems—from the ones predicting your next online purchase to those diagnosing diseases—need data that’s not only massive in scale, but also accurate and organized. That means cleaning up messy records, filling in gaps, and ensuring the information stays usable as needs evolve. For every bright breakthrough, there’s a whole lot of invisible hard work happening behind the scenes to maintain these vast, ever-changing data reserves.

The pace of growth is dizzying. When OpenAI released GPT-2 in 2019, it was trained on about 3 billion words. Fast forward just four years and GPT-4 was trained on nearly 10 trillion words. That’s a leap so significant you can barely compare the two. But with all this information flying around, an obvious question emerges: How do you safely and affordably store monumental stacks of data, especially when you need to access it instantly—and sometimes after years of storage? (read more)

Storage—The Often-Overlooked Foundation of AI Progress

Behind every AI innovation, there’s an unsung hero: data storage. The way organizations save, retrieve, and secure data is fast becoming a decisive factor in who will lead the next wave of digital transformation. As more attacks and ransomware target digital systems, some companies are doubling down on classic yet highly effective solutions, like tape storage. Unlike data stored in always-online clouds, tapes can be kept offline, providing a surprisingly strong barrier against cyber threats. It gets even better: tape systems can safely hold onto petabytes of data for over 30 years and tend to be friendlier on both wallets and the environment when compared to high-powered, always-on server farms.

The truth is, what we’re seeing isn’t just a revolution in artificial intelligence—it’s a revolution in data itself. For organizations dreaming of making their mark with new AI technologies, the first step isn’t simply creating new algorithms. It’s about respecting and investing in the history they’ve already written, ensuring their data is available, organized, and secure for whatever comes next.

Lesen Sie den Originalartikel unter Unite.AI.