How Data Management Drives AI
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
The transformative power of AI is vast. Agencies need to embrace it. There’s help available to get started.
Sooner or later, every organization needs to realize that data-driven decision-making cannot be a do-it-yourself project.
There’s no denying the benefits of big data in government. So why, then, does it feel like an aspirational goal for even the most well-intentioned organizations?
“There isn’t a big data silver bullet. You have to tie together the infrastructure, systems and security with a flexible analytical framework.”
There are five steps agencies can take so that big data delivers big value. Let’s take a look at them.
Teasing out insights from big data can seem like a daunting task, but it doesn’t have to be with a big data analytical framework.
To approach big data in a way that leads to more insight, Moore said agencies first need to commit to a data fabric concept.
As a previously neglected topic of focus, the potential for cost efficiency in printing has begun to stir agencies to action. The introduction of MPS into the workplace will create savings where they previously hadn’t been considered.
Data can be extremely valuable to the way government achieves mission goals. But to reap that value, agencies must be able to do more than collect it; they must be able to analyze it.