Lauren Wood

What are some of the common pitfalls that you're seeing people fall into as they're implementing AI? Yeah. that we need to be aware of and kind of move away from.

I keep hearing this statement, garbage in, garbage out, when it comes to data and AI. And I really like what you're saying about clean water. We need to have clean resources in this form, data, to make sure that whatever system we're putting in place is working correctly. It's like the foundational element of how we can use AI and data. And then make great experiences from it.

I keep hearing this statement, garbage in, garbage out, when it comes to data and AI. And I really like what you're saying about clean water. We need to have clean resources in this form, data, to make sure that whatever system we're putting in place is working correctly. It's like the foundational element of how we can use AI and data. And then make great experiences from it.

I keep hearing this statement, garbage in, garbage out, when it comes to data and AI. And I really like what you're saying about clean water. We need to have clean resources in this form, data, to make sure that whatever system we're putting in place is working correctly. It's like the foundational element of how we can use AI and data. And then make great experiences from it.

I kind of want to go there right now, even though I was planning on talking about it a little bit later, but you brought it up a couple of times. And I think we just need to talk about how... Can companies, one, get the right data and know that they have the right data?

I kind of want to go there right now, even though I was planning on talking about it a little bit later, but you brought it up a couple of times. And I think we just need to talk about how... Can companies, one, get the right data and know that they have the right data?

I kind of want to go there right now, even though I was planning on talking about it a little bit later, but you brought it up a couple of times. And I think we just need to talk about how... Can companies, one, get the right data and know that they have the right data?

Because there's so much data now, it's hard to know exactly what do we do with all this information and funnel it into the right places that we can create the right outputs from our AI.

Because there's so much data now, it's hard to know exactly what do we do with all this information and funnel it into the right places that we can create the right outputs from our AI.

Because there's so much data now, it's hard to know exactly what do we do with all this information and funnel it into the right places that we can create the right outputs from our AI.

So it's thinking through, of all the information that we have in all these different places, what is ready to be used versus what do we need to go through a project of cleaning and sorting?

So it's thinking through, of all the information that we have in all these different places, what is ready to be used versus what do we need to go through a project of cleaning and sorting?

So it's thinking through, of all the information that we have in all these different places, what is ready to be used versus what do we need to go through a project of cleaning and sorting?

That's essentially kind of what organizations need to be thinking about. For example, we have all these emails that have already been sent that the customer has already received. We can use that information as a good starting point for how we're going to respond to future customers because we're just going to be saying essentially the same things in most cases.

That's essentially kind of what organizations need to be thinking about. For example, we have all these emails that have already been sent that the customer has already received. We can use that information as a good starting point for how we're going to respond to future customers because we're just going to be saying essentially the same things in most cases.

That's essentially kind of what organizations need to be thinking about. For example, we have all these emails that have already been sent that the customer has already received. We can use that information as a good starting point for how we're going to respond to future customers because we're just going to be saying essentially the same things in most cases.

And then we have information from different places. What I find organizations struggle with, some of them that I work with as a consultant myself, is even thinking that different data sources could be used.

And then we have information from different places. What I find organizations struggle with, some of them that I work with as a consultant myself, is even thinking that different data sources could be used.

And then we have information from different places. What I find organizations struggle with, some of them that I work with as a consultant myself, is even thinking that different data sources could be used.

Like, I think sometimes we're still kind of looking at things in the way that we've always done it before, where then there's opportunities in different data sources and information that maybe we hadn't thought to tap into before. Is that something that you run into? And maybe you have some examples of pieces of information that aren't maybe obvious to use, but have been beneficial?