Kishan Chetan

and making sure that you use the right part of that data to essentially power your AI, because otherwise it just won't be able to do much.

and making sure that you use the right part of that data to essentially power your AI, because otherwise it just won't be able to do much.

and making sure that you use the right part of that data to essentially power your AI, because otherwise it just won't be able to do much.

Yeah, no, I mean, listen, when I have AI discussions and I've had like AI discussions over the last several years across different industries, it always first comes back to a data discussion, which is, do you have the right data? Do you have the right things in place in order to do that? So I think that definitely becomes a huge part of that discussion.

Yeah, no, I mean, listen, when I have AI discussions and I've had like AI discussions over the last several years across different industries, it always first comes back to a data discussion, which is, do you have the right data? Do you have the right things in place in order to do that? So I think that definitely becomes a huge part of that discussion.

Yeah, no, I mean, listen, when I have AI discussions and I've had like AI discussions over the last several years across different industries, it always first comes back to a data discussion, which is, do you have the right data? Do you have the right things in place in order to do that? So I think that definitely becomes a huge part of that discussion.

So that's one thing that I always kind of start people with, which is like, you know, do you have the right data? What are the right set of data that you kind of want to take? But while I say that, I also am mindful of the fact that you don't want to make this a massive data project because there's a lot of value that you can get right now with AI.

So that's one thing that I always kind of start people with, which is like, you know, do you have the right data? What are the right set of data that you kind of want to take? But while I say that, I also am mindful of the fact that you don't want to make this a massive data project because there's a lot of value that you can get right now with AI.

So that's one thing that I always kind of start people with, which is like, you know, do you have the right data? What are the right set of data that you kind of want to take? But while I say that, I also am mindful of the fact that you don't want to make this a massive data project because there's a lot of value that you can get right now with AI.

So it's essentially about figuring out what are the use cases that you can immediately turn on that you can get value. Can I... Like, you know, make it very easy to find like answers about a set of knowledge articles. Can I turn on an agent to answer a set of questions? Can I turn on an agent for like scheduling something?

So it's essentially about figuring out what are the use cases that you can immediately turn on that you can get value. Can I... Like, you know, make it very easy to find like answers about a set of knowledge articles. Can I turn on an agent to answer a set of questions? Can I turn on an agent for like scheduling something?

So it's essentially about figuring out what are the use cases that you can immediately turn on that you can get value. Can I... Like, you know, make it very easy to find like answers about a set of knowledge articles. Can I turn on an agent to answer a set of questions? Can I turn on an agent for like scheduling something?

So data is super crucial, but like if you identify the right use cases, you can already figure out the right data that you need to get for that use cases. So be pragmatic. Figure out where you have the highest value, the highest pain point that you can immediately address customers' needs. And more than that, delight the customers and get the right data for that.

So data is super crucial, but like if you identify the right use cases, you can already figure out the right data that you need to get for that use cases. So be pragmatic. Figure out where you have the highest value, the highest pain point that you can immediately address customers' needs. And more than that, delight the customers and get the right data for that.

So data is super crucial, but like if you identify the right use cases, you can already figure out the right data that you need to get for that use cases. So be pragmatic. Figure out where you have the highest value, the highest pain point that you can immediately address customers' needs. And more than that, delight the customers and get the right data for that.

The other part of agent strategy and AI strategy very quickly becomes about channels. How are customers trying to reach you? If I'm trying to go turn on a project in Latin America, maybe I have some fantastic retailers, really great telco companies who are our customers. And for that, WhatsApp is absolutely crucial.

The other part of agent strategy and AI strategy very quickly becomes about channels. How are customers trying to reach you? If I'm trying to go turn on a project in Latin America, maybe I have some fantastic retailers, really great telco companies who are our customers. And for that, WhatsApp is absolutely crucial.

The other part of agent strategy and AI strategy very quickly becomes about channels. How are customers trying to reach you? If I'm trying to go turn on a project in Latin America, maybe I have some fantastic retailers, really great telco companies who are our customers. And for that, WhatsApp is absolutely crucial.

like business is conducted on WhatsApp in like Brazil and Latin America or in India. So having that channel on is super crucial. If you're a much more complicated high-tech company, like I was speaking to, not just a high-tech, I was speaking to like a healthcare company, which has a fairly complex product and they do patient services with their patient.

like business is conducted on WhatsApp in like Brazil and Latin America or in India. So having that channel on is super crucial. If you're a much more complicated high-tech company, like I was speaking to, not just a high-tech, I was speaking to like a healthcare company, which has a fairly complex product and they do patient services with their patient.