5 Levels of AI Assistants
Hi everyone. My name is Alex from rasa and actually have been here now the third time in a row, so, I was here two years ago very first conference, which was great up in the Presidio last year as well and this is the third time in SF. We also, had a great event in New York. so, I'm a big fan of this conference and al so, because it's bit smaller and like actually allows for a lot of conversations in between. so, I'm happy that you're all here and I really want to talk a bit about like expectation setting.
In conversationally I and the title of the presentation is like between super damn and super intelligent and you're going to hear more about like what I actually mean with it, but maybe just really quick on Raza and like what we do and so, we an open source framework for building conversationally.
I would say most teams not right. That's why they didn't call in on your phone. And so, I think a lot of companies are still afraid and I wish not many and I think it's more and more changing al so, through the success stories that we see in the market and but it's still something where people are cautious about Okay. See you at mention a few different ways in which level 3 is hard. How do you see those being easy as in what are the similarities amongst the different companies who have actually achieved it already that you see consistently and so, you mean what makes it easier to do it? Yeah. Yeah. so, there's a few different examples of companies that have achieved level 3. What do you see as the similarities amongst those companies that consistently allow them to achieve that level while other companies have been able to do that yet? Yeah, so, I think the Main similarity is that they have more than one person and it's usually more like 5 to 15 people and they have different roles. so, there's a product designer. There's a ux designer that or conversational designer and you have a product manager you have developers you have data scientists who then like improve the models over time, right? so, that's definitely consistency that we see and then those teams tend to usually work with something open source, and it was you have a bias on what they should be using. Razza open source framework, but and it is I think that's kind of bull sound. I mean the same way as like the most successful mobile applications are al so, not shipped by one developer right there. I mean a B&B al so, is a great example of like tons of different product teams working on that. Yeah. Let's get a round of applause for Alex. Thank you.