AWS Summit NYC 2026 | Dennis Climent, Moody's

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Dennis Climent

Managing Director of Engineering & Architecture

Moody's Analytics

play_circle_outline Moody's and AWS partnership integrating Moody's intelligence into Amazon Q via MCP agents

play_circle_outline Accelerating AI Adoption in Financial Services: Embedding Intelligence into Workflows, Desktops, IDEs, and Apps

play_circle_outline AI-Driven KYC and Compliance: Priorities for Small Banks and Long-Term Customer Transitions

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Dennis Climent, Moody's

Dennis Climent

Managing Director of Engineering & Architecture Moody's Analytics

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Gemma Allen

>> Welcome back to theCUBE coverage here live on the ground at the AWS Summit in New York 2026. I'm Gemma Allen and we are bringing you all the action of some of the key players in the AWS ecosystem. Join me now for a conversation on AI and financial services. It's Dennis Climent, Managing Director of Technology at Moody's. Welcome, Dennis.

Dennis Climent

>> Thank you. Thank you for having me.

Gemma Allen

>> So AI and financial tech, financial services, right? It's an interesting time in the space. There is a lot happening very quickly, but to set out the stall, talk to us a little bit about Moody's, again, a huge organization and your relationship with AWS and this moment that we're in right now.

Dennis Climent

>> Excellent. So I can give you a litle bit of backstory. So Moody's is 100 plus year old company and we have been providing, I think, financial intelligence for years now. And I think one of the most interesting kind of switches that has happened in the last few years has definitely been in the age of AI. And what can the Moody's brand and what can the Moody's name and what can the Moody's technology and intelligence kind of bring to our customers? So today we're actually announcing with AWS a feature inside of Amazon Quick where we are providing our connected intelligence, our understanding to our customers where they are working. So that is including MCP's agents inside of Quick directly.

Gemma Allen

>> Wow, that's a big development for I'm sure some very enthusiastic customers. Because the expectation around data and what is required in a kind of instantaneous fashion in financial services has obviously shifted extremely quickly. Talk to me, Dennis, about the world four or five years ago and the world now in your organization, like how those expectations are continually moving.

Dennis Climent

>> It's interesting because I think our expectations have almost been kind of the same. We are the bringers of knowledge to our customers and our customers have been using us to do research for decades. I think the thing that truly has changed now is the expectation that we're not just providing a rating about a specific company. We are doing analytics. We are truly processing the data that is coming to us and providing that to our customers. So outside of the ratings and research that everybody knows that Moody's does, we have 600 million private and public entities, a lot of macro and microeconomic trends and our customers are truly needing that in their day-to-day. And so I think the big shift though that's happening now is most of the time people were coming to a website to do their research. And I think now in the age of AI, they should be sitting on their desktop in their clients, in their IDEs, where they are working on a day-to-day basis and they want that same kind of intelligence there. And so that's, I think, one of the most interesting things that we're able to provide now with our Agentic Solutions as a whole.

Gemma Allen

>> I mean, one of the reasons you might argue that we were not able to create data in as quick pace of fashion three years ago outside of just generative AI was also security, right? Security is a huge deal for some of your key customers. And with partnerships like AWS and Moody's, it's kind of like a double stamp of validation from the perspective of who the buck stops with as well. Talk to me a little bit about that, about what you're seeing from the perspective of the innovation meets secure, well guardrailed futures for the kind of financial technology space.

Dennis Climent

>> Absolutely. I think people would think of Moody's as a company that shouldn't be moving nearly as fast as it is and it shouldn't be innovating as fast as it is, but because of our partnerships with AWS, we're able to provide truly secure and concrete places for us to store our data, for customers to store theirs. And I think that trust is just intrinsic to what we are able to provide. And we hear it day in and day out. How do we serve our customers where they can marry their data and ours? And the only way to truly do that is to understand that the trust in the Moody's name, the trust in AWS, the trust in what we are able to provide is the stamp of approval that they need to kind of do their work efficiently and securely in our space.

Gemma Allen

>> And when you think of some of the new customers that you're working with in 2026, the new solutions that you're building, some of it too is a race to meet and ask in a very short space of time, right? It's about speed. And AWS and Moody's, you enable a certain level of data security that perhaps folks can't build alone. Talk about that kind of world. Help me visualize what the life or day looks like in a customer who's availing from this technology.

Dennis Climent

>> Oh God, yeah. I think you see it in multiple ways, right? Not only are we able to produce solutions a lot faster than we have ever been able to before. And we get those mandates from everybody. We are expected to be able to produce what a client wants quickly, efficiently and securely. And you're now seeing customers who are always kind of second guessing a little bit of where their data sources are coming from. The internet is full of a lot of things. And I think one of the things that we're able to provide kind of in our solutions is the understanding that when we are sharing with somebody our connected intelligence and our understanding, they are able to understand that through Moody's everything is cited, everything is understood, every data point is traced back to where they need to be. So the first few times I feel like everybody is always testing and judging and seeing if we're doing what we need to do, but the second they look at it and the second they see what we are offering, it gives them again that stamp of approval that, "Oh, this is Moody's. Of course, they've done the work they've need to do to provide the solutions that they need."

Gemma Allen

>> And when you announce these new innovations, these new partnerships with AWS, what sort of new or longer tail opportunities or profiles of customers are you also seeing in the space that perhaps you wouldn't have seen three, four years ago before we had this mass race for generative AI and data now, data yesterday. Talk to us about what's kind of new and even some new examples or virtuals of spaces you guys are working in together that you might not have been before this chaos began.

Dennis Climent

>> I think we're seeing a big trend actually where our biggest customers that have been our customers for endless amount of years, they are I think now finally truly transitioning into the age of AI. But leading up to that, we have seen a lot of smaller initiatives, a lot of smaller banks, a lot of smaller firms taking charge and sitting there and being like, "Oh, I see this space. I understand that bringing AI into a financial service is always a little troublesome." And I think a little scary, right? Are you going to trust what's going to come out of an agent? And I think that's shifting. I think that's shifting because technology is just moving at a pace that is, it's exponential and it's actually really, truly exciting and a little scary, but we can get to that later. But I think truly the shift of seeing everybody kind of embrace AI and understanding that at some point you really, truly need Moody's in your space. So some of the examples, and I think a lot of our push recently has been inside of the KYC space, right? That's where knowing your customer is important and Moody's has always kind of dabbled there, but we have really doubled down and we've really understood that that compliance area is where we can thrive and where our understanding and how we've connected all of our data is really providing the solutions to our customers.

Gemma Allen

>> And we think about the fundamentals to optimize solutions like this. We hear a lot about data, fragmented data, dirty data per se, which we know has been a problem in the industry for a long time. What are the others? What other, I guess, key asks would you have to folks in the field who are looking to avail of more innovative solutions like the one with Moody's and AWS? What sort of housekeeping needs to happen across the board, do you think, to enable this opportunity in the quickest way possible?

Dennis Climent

>> Oh God, data is definitely, I think, the biggest hurdle. And we're getting data from every source humanly possible. And many people have spoken that at some point an agent could aggregate some of this data. It might be true, but the future is about being able to clean that, is about being able to bring the Moody's understanding of how to take that connected and move that forward. So in all honesty, I think in our space, our speed of developing our solutions, and this I think comes from the individual interactions that we are understanding from our customers and how we're able to drive those solutions a lot faster than I think we've ever been able to do. And I think pairing that with data that's like truly and properly curated. And I think that's one of the things that I get asked a ton is like, "What makes our data different than somebody else's?" And disregarding the suite of agents that are constantly looking, validating and curating our things and evaluating is a very cute term that we've tried to coin where it's evalidation. It's that evaluation plus validation and that's something that is intrinsic to every step in our journey and that is not reproducible by anybody, not yet anyway.

Gemma Allen

>> So Dennis, we're here. It's going to be some great sessions later on. What other innovations are you listening out for today? What else is kind of on the agenda for this day here in New York?

Dennis Climent

>> So I am truly interested in the agentic memory space. I think that has the most amount of possibilities for how we can interact with customers in the future. And you see it now anytime you're interacting with an LLM, it will know your job, it'll know your partner. But thinking about this from a customer side, somebody doing financial analysis, somebody doing research, we are able to truly pull out kind of the signal and noise and be very targeted towards our customers. And so we've been utilizing a ton of the AWS services kind of to push that stuff forward. So I'm really interested to see what they're doing, how we take the mounds of impressions that we are getting from our customers and be able to tailor that now not only to a specific user, right, but also to specific personas. But I think that's the future is that tailoring option because we are not just providing one large attentive solution to somebody. We are trying to really just solve your individual problem.

Gemma Allen

>> I think that's so important, right? You need to meet customers where they're at. And I think AWS, and I'm sure Moody's do a great job at that. So Dennis Climent, thank you so much for joining us on theCUBE.

Dennis Climent

>> I really appreciate it. Thank you so much.

Gemma Allen

>> I'm Gemma Allen here at theCUBE. We are live from AWS Summit in 2026 in New York. We are bringing you all the action on the ground, talking to some of the key builders and innovators shaping this next step of the AWS journey. Don't go anywhere.

Dennis Climent, Moody's

search

Gemma Allen

>> Welcome back to theCUBE coverage here live on the ground at the AWS Summit in New York 2026. I'm Gemma Allen and we are bringing you all the action of some of the key players in the AWS ecosystem. Join me now for a conversation on AI and financial services. It's Dennis Climent, Managing Director of Technology at Moody's. Welcome, Dennis.

Dennis Climent

>> Thank you. Thank you for having me.

Gemma Allen

>> So AI and financial tech, financial services, right? It's an interesting time in the space. There is a lot happening very quickly, but to set out the stall, talk to us a little bit about Moody's, again, a huge organization and your relationship with AWS and this moment that we're in right now.

Dennis Climent

>> Excellent. So I can give you a litle bit of backstory. So Moody's is 100 plus year old company and we have been providing, I think, financial intelligence for years now. And I think one of the most interesting kind of switches that has happened in the last few years has definitely been in the age of AI. And what can the Moody's brand and what can the Moody's name and what can the Moody's technology and intelligence kind of bring to our customers? So today we're actually announcing with AWS a feature inside of Amazon Quick where we are providing our connected intelligence, our understanding to our customers where they are working. So that is including MCP's agents inside of Quick directly.

Gemma Allen

>> Wow, that's a big development for I'm sure some very enthusiastic customers. Because the expectation around data and what is required in a kind of instantaneous fashion in financial services has obviously shifted extremely quickly. Talk to me, Dennis, about the world four or five years ago and the world now in your organization, like how those expectations are continually moving.

Dennis Climent

>> It's interesting because I think our expectations have almost been kind of the same. We are the bringers of knowledge to our customers and our customers have been using us to do research for decades. I think the thing that truly has changed now is the expectation that we're not just providing a rating about a specific company. We are doing analytics. We are truly processing the data that is coming to us and providing that to our customers. So outside of the ratings and research that everybody knows that Moody's does, we have 600 million private and public entities, a lot of macro and microeconomic trends and our customers are truly needing that in their day-to-day. And so I think the big shift though that's happening now is most of the time people were coming to a website to do their research. And I think now in the age of AI, they should be sitting on their desktop in their clients, in their IDEs, where they are working on a day-to-day basis and they want that same kind of intelligence there. And so that's, I think, one of the most interesting things that we're able to provide now with our Agentic Solutions as a whole.

Gemma Allen

>> I mean, one of the reasons you might argue that we were not able to create data in as quick pace of fashion three years ago outside of just generative AI was also security, right? Security is a huge deal for some of your key customers. And with partnerships like AWS and Moody's, it's kind of like a double stamp of validation from the perspective of who the buck stops with as well. Talk to me a little bit about that, about what you're seeing from the perspective of the innovation meets secure, well guardrailed futures for the kind of financial technology space.

Dennis Climent

>> Absolutely. I think people would think of Moody's as a company that shouldn't be moving nearly as fast as it is and it shouldn't be innovating as fast as it is, but because of our partnerships with AWS, we're able to provide truly secure and concrete places for us to store our data, for customers to store theirs. And I think that trust is just intrinsic to what we are able to provide. And we hear it day in and day out. How do we serve our customers where they can marry their data and ours? And the only way to truly do that is to understand that the trust in the Moody's name, the trust in AWS, the trust in what we are able to provide is the stamp of approval that they need to kind of do their work efficiently and securely in our space.

Gemma Allen

>> And when you think of some of the new customers that you're working with in 2026, the new solutions that you're building, some of it too is a race to meet and ask in a very short space of time, right? It's about speed. And AWS and Moody's, you enable a certain level of data security that perhaps folks can't build alone. Talk about that kind of world. Help me visualize what the life or day looks like in a customer who's availing from this technology.

Dennis Climent

>> Oh God, yeah. I think you see it in multiple ways, right? Not only are we able to produce solutions a lot faster than we have ever been able to before. And we get those mandates from everybody. We are expected to be able to produce what a client wants quickly, efficiently and securely. And you're now seeing customers who are always kind of second guessing a little bit of where their data sources are coming from. The internet is full of a lot of things. And I think one of the things that we're able to provide kind of in our solutions is the understanding that when we are sharing with somebody our connected intelligence and our understanding, they are able to understand that through Moody's everything is cited, everything is understood, every data point is traced back to where they need to be. So the first few times I feel like everybody is always testing and judging and seeing if we're doing what we need to do, but the second they look at it and the second they see what we are offering, it gives them again that stamp of approval that, "Oh, this is Moody's. Of course, they've done the work they've need to do to provide the solutions that they need."

Gemma Allen

>> And when you announce these new innovations, these new partnerships with AWS, what sort of new or longer tail opportunities or profiles of customers are you also seeing in the space that perhaps you wouldn't have seen three, four years ago before we had this mass race for generative AI and data now, data yesterday. Talk to us about what's kind of new and even some new examples or virtuals of spaces you guys are working in together that you might not have been before this chaos began.

Dennis Climent

>> I think we're seeing a big trend actually where our biggest customers that have been our customers for endless amount of years, they are I think now finally truly transitioning into the age of AI. But leading up to that, we have seen a lot of smaller initiatives, a lot of smaller banks, a lot of smaller firms taking charge and sitting there and being like, "Oh, I see this space. I understand that bringing AI into a financial service is always a little troublesome." And I think a little scary, right? Are you going to trust what's going to come out of an agent? And I think that's shifting. I think that's shifting because technology is just moving at a pace that is, it's exponential and it's actually really, truly exciting and a little scary, but we can get to that later. But I think truly the shift of seeing everybody kind of embrace AI and understanding that at some point you really, truly need Moody's in your space. So some of the examples, and I think a lot of our push recently has been inside of the KYC space, right? That's where knowing your customer is important and Moody's has always kind of dabbled there, but we have really doubled down and we've really understood that that compliance area is where we can thrive and where our understanding and how we've connected all of our data is really providing the solutions to our customers.

Gemma Allen

>> And we think about the fundamentals to optimize solutions like this. We hear a lot about data, fragmented data, dirty data per se, which we know has been a problem in the industry for a long time. What are the others? What other, I guess, key asks would you have to folks in the field who are looking to avail of more innovative solutions like the one with Moody's and AWS? What sort of housekeeping needs to happen across the board, do you think, to enable this opportunity in the quickest way possible?

Dennis Climent

>> Oh God, data is definitely, I think, the biggest hurdle. And we're getting data from every source humanly possible. And many people have spoken that at some point an agent could aggregate some of this data. It might be true, but the future is about being able to clean that, is about being able to bring the Moody's understanding of how to take that connected and move that forward. So in all honesty, I think in our space, our speed of developing our solutions, and this I think comes from the individual interactions that we are understanding from our customers and how we're able to drive those solutions a lot faster than I think we've ever been able to do. And I think pairing that with data that's like truly and properly curated. And I think that's one of the things that I get asked a ton is like, "What makes our data different than somebody else's?" And disregarding the suite of agents that are constantly looking, validating and curating our things and evaluating is a very cute term that we've tried to coin where it's evalidation. It's that evaluation plus validation and that's something that is intrinsic to every step in our journey and that is not reproducible by anybody, not yet anyway.

Gemma Allen

>> So Dennis, we're here. It's going to be some great sessions later on. What other innovations are you listening out for today? What else is kind of on the agenda for this day here in New York?

Dennis Climent

>> So I am truly interested in the agentic memory space. I think that has the most amount of possibilities for how we can interact with customers in the future. And you see it now anytime you're interacting with an LLM, it will know your job, it'll know your partner. But thinking about this from a customer side, somebody doing financial analysis, somebody doing research, we are able to truly pull out kind of the signal and noise and be very targeted towards our customers. And so we've been utilizing a ton of the AWS services kind of to push that stuff forward. So I'm really interested to see what they're doing, how we take the mounds of impressions that we are getting from our customers and be able to tailor that now not only to a specific user, right, but also to specific personas. But I think that's the future is that tailoring option because we are not just providing one large attentive solution to somebody. We are trying to really just solve your individual problem.

Gemma Allen

>> I think that's so important, right? You need to meet customers where they're at. And I think AWS, and I'm sure Moody's do a great job at that. So Dennis Climent, thank you so much for joining us on theCUBE.

Dennis Climent

>> I really appreciate it. Thank you so much.

Gemma Allen

>> I'm Gemma Allen here at theCUBE. We are live from AWS Summit in 2026 in New York. We are bringing you all the action on the ground, talking to some of the key builders and innovators shaping this next step of the AWS journey. Don't go anywhere.