Conversation on Data Intelligence – A Fireside Chat

Tell me about this data intelligence. How do you define data intelligence? So Let me take a step back and explain Actian's point of view on this.

So, Actian for the longest time has provided data stack components to our customers. So databases, data analytics solutions, data integration solutions to enable our customers to connect, manage and analyze data. What we found since the AI revolution has happened is a data quality is front of mind for all of our customers and our prospects.

So we started building out a data quality solution so that customers could bet their business on their data.

Providing that quality data to AI was only one part of the solution. Our customers actually wanted to be able to provide governance around it, and we didn't have a governance platform. So a year ago we embarked on a search for a data governance platform.

And what we've seen over the course of that year is that governance is component of something much bigger, which is data intelligence. And the way I think of data intelligence, it really is understanding the data about your data and being able to do something about it. It's fascinating.

We hear this every day. I don't have my data in the right place. I don't even where my data is.

I don't know who owns my data. I don't know whether I'm even allowed to use the data that my company owns. So it's a much bigger problem and especially with the rise of AI and companies wanting to accelerate their timeline in how they actually want to adopt ai.

Uh, having data in the right place with the right quality, with the right access is the biggest problem. That's what we are seeing. But that is slowing down most AI projects.

It's not so much the technology, not so much the infrastructure, but the underlying structure, which is I need to have my data at the right place.