Sasan Goodarzi

Eventually, that could be two years from now, five years from now, I think everybody's going to end up being in the cloud.

Eventually, that could be two years from now, five years from now, I think everybody's going to end up being in the cloud.

Primarily only in the cloud. Only in the cloud. In fact, everything that we're building in the cloud and have building in the cloud is just powered by our data and AI platform capabilities.

Primarily only in the cloud. Only in the cloud. In fact, everything that we're building in the cloud and have building in the cloud is just powered by our data and AI platform capabilities.

Primarily only in the cloud. Only in the cloud. In fact, everything that we're building in the cloud and have building in the cloud is just powered by our data and AI platform capabilities.

Let me say two things in context of your question. The first one is we're not launching AI features. Our entire platform is fueled by data and AI. And in fact, our goal is not to ship a bunch of plugin features that do stuff for you, but to create a platform where Marketing is done for you. Quote to cash is done for you. Books, taxes are all done for you.

Let me say two things in context of your question. The first one is we're not launching AI features. Our entire platform is fueled by data and AI. And in fact, our goal is not to ship a bunch of plugin features that do stuff for you, but to create a platform where Marketing is done for you. Quote to cash is done for you. Books, taxes are all done for you.

Let me say two things in context of your question. The first one is we're not launching AI features. Our entire platform is fueled by data and AI. And in fact, our goal is not to ship a bunch of plugin features that do stuff for you, but to create a platform where Marketing is done for you. Quote to cash is done for you. Books, taxes are all done for you.

And please still think about it from what we're trying to achieve as the whole platform is fueled by data and AI. That's the first thing. The second thing is when we declared AI core to our strategy, our investments were in machine learning. and knowledge engineering. Knowledge engineering is very particular to us. We have patents around it.

And please still think about it from what we're trying to achieve as the whole platform is fueled by data and AI. That's the first thing. The second thing is when we declared AI core to our strategy, our investments were in machine learning. and knowledge engineering. Knowledge engineering is very particular to us. We have patents around it.

And please still think about it from what we're trying to achieve as the whole platform is fueled by data and AI. That's the first thing. The second thing is when we declared AI core to our strategy, our investments were in machine learning. and knowledge engineering. Knowledge engineering is very particular to us. We have patents around it.

It takes rules and the relationship of rules and code, turns it into code. And the power of it is accuracy. And a lot of what we do has to be accurate. That's really been the premise of all of our AI investments has been machine learning, knowledge engineering. About three to four years ago, we started investing in Gen AI and specifically in our own Intuit financial large language models.

It takes rules and the relationship of rules and code, turns it into code. And the power of it is accuracy. And a lot of what we do has to be accurate. That's really been the premise of all of our AI investments has been machine learning, knowledge engineering. About three to four years ago, we started investing in Gen AI and specifically in our own Intuit financial large language models.

It takes rules and the relationship of rules and code, turns it into code. And the power of it is accuracy. And a lot of what we do has to be accurate. That's really been the premise of all of our AI investments has been machine learning, knowledge engineering. About three to four years ago, we started investing in Gen AI and specifically in our own Intuit financial large language models.

Our models are the only models that are trained by the customer data. I set that context to say, to answer your question, we're in the very, very early days of what LLMs can do. I mean, I would tell you that we work a lot with the majority of the companies that are out there. And the progress that's being made month to month is incredible.

Our models are the only models that are trained by the customer data. I set that context to say, to answer your question, we're in the very, very early days of what LLMs can do. I mean, I would tell you that we work a lot with the majority of the companies that are out there. And the progress that's being made month to month is incredible.

Our models are the only models that are trained by the customer data. I set that context to say, to answer your question, we're in the very, very early days of what LLMs can do. I mean, I would tell you that we work a lot with the majority of the companies that are out there. And the progress that's being made month to month is incredible.

So in terms of, will it do most of what we need sometime in the near future, medium future? Absolutely. And I believe AI will one day be as smart as humans, if not smarter. But I think humans are always going to be a critical part of the picture for us in our industry. But it's still very early days. I don't want to at all suggest that Everything can be achieved with AI today.

So in terms of, will it do most of what we need sometime in the near future, medium future? Absolutely. And I believe AI will one day be as smart as humans, if not smarter. But I think humans are always going to be a critical part of the picture for us in our industry. But it's still very early days. I don't want to at all suggest that Everything can be achieved with AI today.

So in terms of, will it do most of what we need sometime in the near future, medium future? Absolutely. And I believe AI will one day be as smart as humans, if not smarter. But I think humans are always going to be a critical part of the picture for us in our industry. But it's still very early days. I don't want to at all suggest that Everything can be achieved with AI today.