Abhii Parakh

You might have an agentic AI system that may be able to go through that, answer questions, but also then connect you with the right people autonomously and maybe even ask you questions and give you some answers around financial calculations, all of that being in the realm of guidance and not advice, that could be an interesting one where you can do it with low risk.

You might have an agentic AI system that may be able to go through that, answer questions, but also then connect you with the right people autonomously and maybe even ask you questions and give you some answers around financial calculations, all of that being in the realm of guidance and not advice, that could be an interesting one where you can do it with low risk.

But I think anything that has to do with real money moving and transactions happening can be really risky for where we are right now, if there is no human in the loop.

But I think anything that has to do with real money moving and transactions happening can be really risky for where we are right now, if there is no human in the loop.

But I think anything that has to do with real money moving and transactions happening can be really risky for where we are right now, if there is no human in the loop.

So I'm not sure if this answer is going to make it in your podcast or not. But because it might be a little controversial, but look, I think AI is not the answer to every problem. I think when it comes to data, there's two things I would say. One, to understand your customers better, to segment them and to house all that data. That technology has been available to us for a very long time, right?

So I'm not sure if this answer is going to make it in your podcast or not. But because it might be a little controversial, but look, I think AI is not the answer to every problem. I think when it comes to data, there's two things I would say. One, to understand your customers better, to segment them and to house all that data. That technology has been available to us for a very long time, right?

So I'm not sure if this answer is going to make it in your podcast or not. But because it might be a little controversial, but look, I think AI is not the answer to every problem. I think when it comes to data, there's two things I would say. One, to understand your customers better, to segment them and to house all that data. That technology has been available to us for a very long time, right?

But the problem with, especially with companies who've been around for a very long time is that the kind of systems we have and the number of systems we have and the number of places where that data exists has been the issue. But there are existing solutions for defragmenting that data and housing it in domains to make it more useful.

But the problem with, especially with companies who've been around for a very long time is that the kind of systems we have and the number of systems we have and the number of places where that data exists has been the issue. But there are existing solutions for defragmenting that data and housing it in domains to make it more useful.

But the problem with, especially with companies who've been around for a very long time is that the kind of systems we have and the number of systems we have and the number of places where that data exists has been the issue. But there are existing solutions for defragmenting that data and housing it in domains to make it more useful.

So I think even it's as a precursor to AI for AI to be more meaningful instead of AI solving that problem, getting your data problem sorted out is really important. I don't think you need AI to do that. You have existing tools to be able to do that. So you're ready for AI because then the AI will be much more powerful on top of that data. Now, I do think that being said, that problem is so big.

So I think even it's as a precursor to AI for AI to be more meaningful instead of AI solving that problem, getting your data problem sorted out is really important. I don't think you need AI to do that. You have existing tools to be able to do that. So you're ready for AI because then the AI will be much more powerful on top of that data. Now, I do think that being said, that problem is so big.

So I think even it's as a precursor to AI for AI to be more meaningful instead of AI solving that problem, getting your data problem sorted out is really important. I don't think you need AI to do that. You have existing tools to be able to do that. So you're ready for AI because then the AI will be much more powerful on top of that data. Now, I do think that being said, that problem is so big.

And when I talk to peers outside of Prudential, everybody struggles with that. And nobody has cracked it, right? Because the data is so much and it's in so many different places. So if there is a company that can actually make sense of that data without huge multi-year projects for data to be sorted out and that layer to be all perfect, because perfect data is... maybe just a pipe dream, right?

And when I talk to peers outside of Prudential, everybody struggles with that. And nobody has cracked it, right? Because the data is so much and it's in so many different places. So if there is a company that can actually make sense of that data without huge multi-year projects for data to be sorted out and that layer to be all perfect, because perfect data is... maybe just a pipe dream, right?

And when I talk to peers outside of Prudential, everybody struggles with that. And nobody has cracked it, right? Because the data is so much and it's in so many different places. So if there is a company that can actually make sense of that data without huge multi-year projects for data to be sorted out and that layer to be all perfect, because perfect data is... maybe just a pipe dream, right?

So if you could use AI to actually be that layer so that you don't have to go through those multi-year, huge millions of dollars spent to make that data better, I think that could be really cool and a really good use case for AI to help with data.

So if you could use AI to actually be that layer so that you don't have to go through those multi-year, huge millions of dollars spent to make that data better, I think that could be really cool and a really good use case for AI to help with data.

So if you could use AI to actually be that layer so that you don't have to go through those multi-year, huge millions of dollars spent to make that data better, I think that could be really cool and a really good use case for AI to help with data.