Kishan Chetan
๐ค PersonAppearances Over Time
Podcast Appearances
Yeah. I mean, that's such a fantastic question. I mean, there's like so much different types of unstructured data, right? So if you look at like unstructured data that sits in, let's say a conversation you've had with a customer, like a phone call, a live transcript of a phone call or a chat, there's like a wealth of data, right? Like
a lot of our customers have gone back and tried to do like, you know, maybe a survey with a customer to understand how they feel and think. But like you have this wealth of information that you can use to actually understand what the customer is thinking without asking them.
a lot of our customers have gone back and tried to do like, you know, maybe a survey with a customer to understand how they feel and think. But like you have this wealth of information that you can use to actually understand what the customer is thinking without asking them.
a lot of our customers have gone back and tried to do like, you know, maybe a survey with a customer to understand how they feel and think. But like you have this wealth of information that you can use to actually understand what the customer is thinking without asking them.
So imagine if you could use all of that information to understand the sentiment, understand the intent, are they looking to buy? Are they unhappy? Are they looking to return? And you can use that to like,
So imagine if you could use all of that information to understand the sentiment, understand the intent, are they looking to buy? Are they unhappy? Are they looking to return? And you can use that to like,
So imagine if you could use all of that information to understand the sentiment, understand the intent, are they looking to buy? Are they unhappy? Are they looking to return? And you can use that to like,
you know, do aggregated, like give a offer to somebody who's called in an airline because their flight was delayed or their baggage was damaged and give them an offer, give them the ability to get like a better discount on their next flight. That would be fantastic. And that's why we have this customer experience intelligence to be able to kind of look at this aggregated intent and sentiment.
you know, do aggregated, like give a offer to somebody who's called in an airline because their flight was delayed or their baggage was damaged and give them an offer, give them the ability to get like a better discount on their next flight. That would be fantastic. And that's why we have this customer experience intelligence to be able to kind of look at this aggregated intent and sentiment.
you know, do aggregated, like give a offer to somebody who's called in an airline because their flight was delayed or their baggage was damaged and give them an offer, give them the ability to get like a better discount on their next flight. That would be fantastic. And that's why we have this customer experience intelligence to be able to kind of look at this aggregated intent and sentiment.
Imagine you're having a whole bunch of like calls around something broken in a fridge. If you're a manufacturing company, there's a certain problem with like the appliance and you're seeing like 30 or 40 calls come into your contact center. What if you could take those different cases and make it like a knowledge article?
Imagine you're having a whole bunch of like calls around something broken in a fridge. If you're a manufacturing company, there's a certain problem with like the appliance and you're seeing like 30 or 40 calls come into your contact center. What if you could take those different cases and make it like a knowledge article?
Imagine you're having a whole bunch of like calls around something broken in a fridge. If you're a manufacturing company, there's a certain problem with like the appliance and you're seeing like 30 or 40 calls come into your contact center. What if you could take those different cases and make it like a knowledge article?
So people can easily find this information online, but more importantly, as you said, proactively send out like a notification to everybody who has that machine. like a washing machine or a dishwasher and ask them to go fix it. Like Fisher Paykel is a great example of like a customer of ours who was in the service cloud keynote. They can use a lot of this kind of asset-based data.
So people can easily find this information online, but more importantly, as you said, proactively send out like a notification to everybody who has that machine. like a washing machine or a dishwasher and ask them to go fix it. Like Fisher Paykel is a great example of like a customer of ours who was in the service cloud keynote. They can use a lot of this kind of asset-based data.
So people can easily find this information online, but more importantly, as you said, proactively send out like a notification to everybody who has that machine. like a washing machine or a dishwasher and ask them to go fix it. Like Fisher Paykel is a great example of like a customer of ours who was in the service cloud keynote. They can use a lot of this kind of asset-based data.
So that's another great example of like, you know, Where we're using all of this information coming into the contact center and being able to automate it, better operations, drive more knowledge or deploy more agents to focus on a specific area because that product line is getting a lot of questions and a lot of issues. So that's another great way of using data.
So that's another great example of like, you know, Where we're using all of this information coming into the contact center and being able to automate it, better operations, drive more knowledge or deploy more agents to focus on a specific area because that product line is getting a lot of questions and a lot of issues. So that's another great way of using data.
So that's another great example of like, you know, Where we're using all of this information coming into the contact center and being able to automate it, better operations, drive more knowledge or deploy more agents to focus on a specific area because that product line is getting a lot of questions and a lot of issues. So that's another great way of using data.
And finally, another place where unstructured data becomes super crucial is all of this knowledge information. Imagine if you could get knowledge and knowledge information from your SharePoints or from your OneDrives and from your files or from your websites and bring this all together and use that to ground your AI.