Read the full article in CDO Magazine
Snippet below:
We’re not waiting for the data modernization era. We’re living in it.
This isn’t about hyping modern data as the next big thing. It’s about naming what’s already changed and why it matters now.
Many organizations remain skeptical of “real-time” claims and transformation promises, and understandably so. There’s been a lot of overpromising in the past, and even well-funded efforts have struggled to deliver intelligence where and when it’s needed.
That’s because, for years, ambition has outpaced infrastructure. Teams are asking for more — more alignment, more insight, more action — than legacy systems can realistically deliver. Now, the pressure of AI is making that gap impossible to ignore. Use cases are surfacing quickly, but most systems weren’t built to support intelligence at scale.
Still, each wave of innovation has moved the ecosystem forward and laid the groundwork for what’s now possible.
And now, something fundamental really has shifted: our data infrastructure has matured. Modern platforms, modular architecture, and scalable methods have created the conditions for something new — a data environment finally capable of supporting AI and high-stakes decision-making at scale.
