Lauren Wood
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Podcast Appearances
So I want to talk a little bit about some examples of customers that you have or just like ways that this technology has been used and what kinds of tasks. We talked about a couple of them, but I'm just curious to know a bit more of the breadth of the different types of things that these AI agents can do to help us.
So I want to talk a little bit about some examples of customers that you have or just like ways that this technology has been used and what kinds of tasks. We talked about a couple of them, but I'm just curious to know a bit more of the breadth of the different types of things that these AI agents can do to help us.
I love it. I want to talk about data. You mentioned data, which is a big piece of this and being able to really process lots of unstructured data. I mean, any customer experience leader I have ever spoken to has always said we are sitting on a goldmine of information about our customers. But the challenge is then actually processing it.
I love it. I want to talk about data. You mentioned data, which is a big piece of this and being able to really process lots of unstructured data. I mean, any customer experience leader I have ever spoken to has always said we are sitting on a goldmine of information about our customers. But the challenge is then actually processing it.
I love it. I want to talk about data. You mentioned data, which is a big piece of this and being able to really process lots of unstructured data. I mean, any customer experience leader I have ever spoken to has always said we are sitting on a goldmine of information about our customers. But the challenge is then actually processing it.
into insights that we can utilize to be more proactive, to understand our customers better. How does service cloud in general help organizations to really process this data to make use of it?
into insights that we can utilize to be more proactive, to understand our customers better. How does service cloud in general help organizations to really process this data to make use of it?
into insights that we can utilize to be more proactive, to understand our customers better. How does service cloud in general help organizations to really process this data to make use of it?
I think that this is one of the places that most companies struggle with a lot is actually bringing all of the information into one place so that AI can make the right decisions or guide you in the right way considering all factors. because it's not only what are the customers saying to you, right? It's what are, or what are they saying to you via your customer service channel?
I think that this is one of the places that most companies struggle with a lot is actually bringing all of the information into one place so that AI can make the right decisions or guide you in the right way considering all factors. because it's not only what are the customers saying to you, right? It's what are, or what are they saying to you via your customer service channel?
I think that this is one of the places that most companies struggle with a lot is actually bringing all of the information into one place so that AI can make the right decisions or guide you in the right way considering all factors. because it's not only what are the customers saying to you, right? It's what are, or what are they saying to you via your customer service channel?
Might also be what they're saying out there in the world on social media or in focus groups or in industry research. All of these things, we need to be taking it into consideration. And I think that that's one of the areas where, as I talk to people just in my own work about implementing AI, is we really need to look at the number one thing is what information are you training that AI on?
Might also be what they're saying out there in the world on social media or in focus groups or in industry research. All of these things, we need to be taking it into consideration. And I think that that's one of the areas where, as I talk to people just in my own work about implementing AI, is we really need to look at the number one thing is what information are you training that AI on?
Might also be what they're saying out there in the world on social media or in focus groups or in industry research. All of these things, we need to be taking it into consideration. And I think that that's one of the areas where, as I talk to people just in my own work about implementing AI, is we really need to look at the number one thing is what information are you training that AI on?
And does it have all the information? And it's one of the biggest challenges is getting all of that information into one place where it can actually be processed. And I'm so glad that Salesforce obviously is thinking about that because that's what you guys do. But it's really a holistic approach to being able to provide the best service.
And does it have all the information? And it's one of the biggest challenges is getting all of that information into one place where it can actually be processed. And I'm so glad that Salesforce obviously is thinking about that because that's what you guys do. But it's really a holistic approach to being able to provide the best service.
And does it have all the information? And it's one of the biggest challenges is getting all of that information into one place where it can actually be processed. And I'm so glad that Salesforce obviously is thinking about that because that's what you guys do. But it's really a holistic approach to being able to provide the best service.
Garbage in, garbage out. I hear this all the time as I'm talking to folks about how do you get the right data to really power your AI? What advice do you have for leaders as they look to implement AI in their customer service when it comes to really getting the right data? Any tips or tricks for our listeners?
Garbage in, garbage out. I hear this all the time as I'm talking to folks about how do you get the right data to really power your AI? What advice do you have for leaders as they look to implement AI in their customer service when it comes to really getting the right data? Any tips or tricks for our listeners?
Garbage in, garbage out. I hear this all the time as I'm talking to folks about how do you get the right data to really power your AI? What advice do you have for leaders as they look to implement AI in their customer service when it comes to really getting the right data? Any tips or tricks for our listeners?