In this excerpt from a YouTube discussion, Todd and Speaker B emphasize that artificial intelligence cannot compensate for poor data quality in CRM systems. They argue that any existing data integrity or quality problems will be amplified when AI is applied, rather than resolved. The speakers stress that leaders must first address and improve their data quality before expecting AI to deliver meaningful results, warning against the misconception that AI will automatically fix bad data.
How should leaders think about and even, you know, maybe improve their data quality before they can realistically expect AI to deliver results?
Oh, absolutely, Todd. And I would say that it starts with whatever we don't fix right now before we go full AI on things, right? And talking about a database or a CRM, right? If you got data quality or data integrity issues within your portal at the moment, those are only going to be magnified with AI. The AI is not going able to, to do any better than what's already in there. The context is actually gonna be brought from there. Right? So there's a lot of—
Sorry. I, I gotta jump in there. That, that's a really important thing that you just said there. Right? AI is not going to solve your bad data problems. It's going to magnify your bad data problems. I think that's really important. And I, I think a lot of people think, oh, we'll get AI. It'll solve it all. But it all is reliant on that data. So, yeah. I, I think that's a really important statement. So I appreciate you saying that. Sorry to interrupt you, but I just, I wanna magnify that because that's an important piece.
