Bernard Slowey
๐ค PersonAppearances Over Time
Podcast Appearances
So today, like with our implementation of agent force, it's Q&A conversational. You ask it a question and it comes back with an answer. And that's kind of how most of us have experienced ChatGPT. But where we're moving to is the agent can actually do action on your behalf. And that's super powerful. So if you think about the example where you ask it, how do I reset a password, right?
Generally, it will come back where you do steps A, B, C, and D. But imagine when we can actually do that on your behalf. Right. So there's information we can get just to verify you are who you are. And then we reset the password for you. That's just a very simple example. Like in banking worlds, it's like issuing a refund on your behalf. A retailer could be as well.
Generally, it will come back where you do steps A, B, C, and D. But imagine when we can actually do that on your behalf. Right. So there's information we can get just to verify you are who you are. And then we reset the password for you. That's just a very simple example. Like in banking worlds, it's like issuing a refund on your behalf. A retailer could be as well.
Generally, it will come back where you do steps A, B, C, and D. But imagine when we can actually do that on your behalf. Right. So there's information we can get just to verify you are who you are. And then we reset the password for you. That's just a very simple example. Like in banking worlds, it's like issuing a refund on your behalf. A retailer could be as well.
So they can actually do action as well as just conversational Q&A. And that's a game changer.
So they can actually do action as well as just conversational Q&A. And that's a game changer.
So they can actually do action as well as just conversational Q&A. And that's a game changer.
Yeah. Yeah, we think about it a lot as like it's a digital employee. Just the way that we have human employees, we now have a digital workforce that we need to empower and that will augment our human workforce, right? It allows us like a good example as well is these models have language capabilities in them. Right.
Yeah. Yeah, we think about it a lot as like it's a digital employee. Just the way that we have human employees, we now have a digital workforce that we need to empower and that will augment our human workforce, right? It allows us like a good example as well is these models have language capabilities in them. Right.
Yeah. Yeah, we think about it a lot as like it's a digital employee. Just the way that we have human employees, we now have a digital workforce that we need to empower and that will augment our human workforce, right? It allows us like a good example as well is these models have language capabilities in them. Right.
So suddenly we can go to all of these other languages that we might not be in today because we just wouldn't have the budget to invest in headcount to do support in these languages. Now you have it in English and you can use these large learning models to do real time translation. So, you know, Lauren could be in Japan as an example, that's gone back and forth with our agent.
So suddenly we can go to all of these other languages that we might not be in today because we just wouldn't have the budget to invest in headcount to do support in these languages. Now you have it in English and you can use these large learning models to do real time translation. So, you know, Lauren could be in Japan as an example, that's gone back and forth with our agent.
So suddenly we can go to all of these other languages that we might not be in today because we just wouldn't have the budget to invest in headcount to do support in these languages. Now you have it in English and you can use these large learning models to do real time translation. So, you know, Lauren could be in Japan as an example, that's gone back and forth with our agent.
That agent was trained in English, but it's able to translate and go back and forth with you and you know no difference. you know? So, so that's pretty incredible as well as these real, these language translation models just open up so many avenues for companies.
That agent was trained in English, but it's able to translate and go back and forth with you and you know no difference. you know? So, so that's pretty incredible as well as these real, these language translation models just open up so many avenues for companies.
That agent was trained in English, but it's able to translate and go back and forth with you and you know no difference. you know? So, so that's pretty incredible as well as these real, these language translation models just open up so many avenues for companies.
It's interesting that I meet with companies a lot to talk about what we're doing and like everyone's really interested and everyone wants to get started. But in a lot of cases, companies are afraid to get started. A lot of cases, they want to do internal implementations before external.
It's interesting that I meet with companies a lot to talk about what we're doing and like everyone's really interested and everyone wants to get started. But in a lot of cases, companies are afraid to get started. A lot of cases, they want to do internal implementations before external.
It's interesting that I meet with companies a lot to talk about what we're doing and like everyone's really interested and everyone wants to get started. But in a lot of cases, companies are afraid to get started. A lot of cases, they want to do internal implementations before external.
When I say internal, what I mean by that is like maybe you have an agent beside your support rep that's helping your support rep, which is a great use case, right? But They're nervous to go external because they're worried about things like hallucinations or is it going to say something that like, oh, no, my company is going to be associated with this.