Kerry Bodine

Data is going to be one of the biggest areas that organizations need to focus on. And I don't think most organizations are understanding data. just how big the data lift is going to be in order for them to create all of these magical AI systems that they are envisioning.

First of all, you've just got to understand what it means for data to be AI ready. You've got to understand all the different characteristics that that entails. You've got to look at your data management processes. governance, how you're dealing with privacy. I mean, there's all types of issues. How often are you updating your data that you're feeding into your AI? How often do you need to?

First of all, you've just got to understand what it means for data to be AI ready. You've got to understand all the different characteristics that that entails. You've got to look at your data management processes. governance, how you're dealing with privacy. I mean, there's all types of issues. How often are you updating your data that you're feeding into your AI? How often do you need to?

First of all, you've just got to understand what it means for data to be AI ready. You've got to understand all the different characteristics that that entails. You've got to look at your data management processes. governance, how you're dealing with privacy. I mean, there's all types of issues. How often are you updating your data that you're feeding into your AI? How often do you need to?

I mean, there's AI systems that can run on data from a couple of years ago, and then there's AI systems that require real-time data. Which type of system are you looking to build? And And then you've got to start doing an inventory of all of the different data that you've got in your organization. Where is data housed?

I mean, there's AI systems that can run on data from a couple of years ago, and then there's AI systems that require real-time data. Which type of system are you looking to build? And And then you've got to start doing an inventory of all of the different data that you've got in your organization. Where is data housed?

I mean, there's AI systems that can run on data from a couple of years ago, and then there's AI systems that require real-time data. Which type of system are you looking to build? And And then you've got to start doing an inventory of all of the different data that you've got in your organization. Where is data housed?

Not only within systems, but within business units, within different silos, functional units within an organization. And really what we need to have is much more collaboration between the business side of the organization and the IT side.

Not only within systems, but within business units, within different silos, functional units within an organization. And really what we need to have is much more collaboration between the business side of the organization and the IT side.

Not only within systems, but within business units, within different silos, functional units within an organization. And really what we need to have is much more collaboration between the business side of the organization and the IT side.

And we've got to have people and, you know, and we have people in these roles, business analysts and, you know, but their role, I think it's just going to get so much more important. We're going to need people who can translate from database language into, you know, what marketers are trying to achieve, you know, on the website or their mobile app.

And we've got to have people and, you know, and we have people in these roles, business analysts and, you know, but their role, I think it's just going to get so much more important. We're going to need people who can translate from database language into, you know, what marketers are trying to achieve, you know, on the website or their mobile app.

And we've got to have people and, you know, and we have people in these roles, business analysts and, you know, but their role, I think it's just going to get so much more important. We're going to need people who can translate from database language into, you know, what marketers are trying to achieve, you know, on the website or their mobile app.

So we've just got to start collaborating and connecting those silos. This has been a message that we've been trying to get across for the past couple of decades with customer experience. And the organizations that heeded that call a while ago are going to be in a better place. But for organizations that still really are working in silos, you got to start working on that right now.

So we've just got to start collaborating and connecting those silos. This has been a message that we've been trying to get across for the past couple of decades with customer experience. And the organizations that heeded that call a while ago are going to be in a better place. But for organizations that still really are working in silos, you got to start working on that right now.

So we've just got to start collaborating and connecting those silos. This has been a message that we've been trying to get across for the past couple of decades with customer experience. And the organizations that heeded that call a while ago are going to be in a better place. But for organizations that still really are working in silos, you got to start working on that right now.

It's both. So again, I think that role of, you know, akin to what is the business analyst today that typically sits in IT and can kind of be that glue, that translator. I think that role is going to be important. It may even morph into a very specific AI focused business analyst role. So I wouldn't be surprised to see that happen in this year and beyond. Yep.

It's both. So again, I think that role of, you know, akin to what is the business analyst today that typically sits in IT and can kind of be that glue, that translator. I think that role is going to be important. It may even morph into a very specific AI focused business analyst role. So I wouldn't be surprised to see that happen in this year and beyond. Yep.

It's both. So again, I think that role of, you know, akin to what is the business analyst today that typically sits in IT and can kind of be that glue, that translator. I think that role is going to be important. It may even morph into a very specific AI focused business analyst role. So I wouldn't be surprised to see that happen in this year and beyond. Yep.

And yeah, and there's also a technology piece that you can put into place that is going to help connect all of those different parts of your data ecosystem.