The gap between what companies want to do with their data and what they can do with it gets bigger every day.
The reason? A complex and chaotic data landscape.
Data infrastructure is siloed, and cross-organizational visibility, access and policies are disjointed across different clouds, apps and data stores. And as many have found out — at their peril — applying corporate policies consistently across a data landscape this tangled is near impossible.
Worse still, this fragmentation leaves businesses unable to realize the full value of their data investments — especially when that comes to de-risking AI initiatives needed to compete in a rapidly changing world.
In short, the time to prepare for AI is here, and the businesses that can’t empower every user with access to the data they need while maintaining safety will be left behind.
