Informatica World 2024 | Tarik Dwiek | Snowflake & Rik Tamm-Daniels | Informatica

Clips
News
More from Informatica World 2024

Tarik Dwiek

Head of Global Technology Alliances

Snowflake

Rik Tamm-Daniels

GVP, Technology Alliances

Informatica

Snowflake and Informatica strengthen partnership with generative AI and enhanced data management

The Snowflake Inc. and Informatica Inc. partnership has strengthened over the past decade and is devoted to assisting its clients with expertly managing their data. This partnership inspired a constant stream of product innovations, with the newest innovations pivoting towards artificial intelligence. One recent announcement is the blueprint for generative AI with Snowflake Cortex, establishing a roadmap for customers seeking to build AI applications on the Snowflake data cloud.Snowflake’ s Tarik Dwiek and Informatica’s Rik Tamm-Daniels talk with theCUBE about innovations in generative AI.“We’re focused on pushing down data pipelines

play_circle_outline Enhancing Data Management with Informatica and Snowflake: Unveiling Innovations, Performance, and Security

play_circle_outline Exploring the Significance of Data Readiness in the AI Era: Introducing Snowflake Cortex and Native SQLELT

play_circle_outline Empowering Organizations: Overcoming Data Readiness and Trust Challenges for Gen AI with Informatica's Governance and Security

play_circle_outline Unleashing Engineering Efficiency: Boosted Productivity, Reduced Cognitive Load, and Masterful Data Transformation Across Verticals

Info

Tarik Dwiek | Snowflake & Rik Tamm-Daniels | Informatica

Tarik Dwiek

Head of Global Technology Alliances Snowflake

Rik Tamm-Daniels

GVP, Technology Alliances Informatica

search

Rebecca Knight

>> Good afternoon, everyone, and welcome back to theCUBE's live coverage of Informatica World, here in Las Vegas, Nevada. I'm your host, Rebecca Knight. Alongside my co-host and analyst, Rob Strechay. Rob, we are really talking a lot about innovation and partnerships today, and it's about the ecosystem, as it often is in these technology shows.

>> It is, but I think, again, as we talked about a couple times, that really Informatica because it can span across and bring so many things like master data management, and catalog, and metadata to multiple different places and really kind of breaks down silos, it's really huge, especially in the cloud.

Rebecca Knight

>> Indeed. Indeed it is. Well, on that note, I would like to introduce our next two guests. We have Tarik Dwiek, he's the head of Global Technology, Alliances at Snowflake. Thank you so much for coming on Tarik, and welcome back, I should say, CUBE veteran.

Tarik Dwiek

>> Thank you. Great to be back. Thank you so much.

Rebecca Knight

>> And Rik Tamm-Daniels, who is a very recent CUBE alumni of GBP Technology Alliances at Informatica. Thank you both.

Rik Tamm-Daniels

>> Good to be here.

Rebecca Knight

>> So, Tarik, I want to start with you. Why don't you talk a little bit about the Snowflake-Informatica partnership, what it's all about? I know it's roughly almost a decade old.

Tarik Dwiek

>> Indeed. Indeed, it is. We've had a successful partnership. As you mentioned, almost a decade in the making, helping customers be very successful managing their data. One of the most important parts of our partnership and why customers have been successful is due to amazing product innovations. It always starts with product innovations. Informatica has always invested in making sure that customers get the most optimal experience in terms of performance, in terms of security. We've got hundreds of joint customers taking amazing advantage of this to solve their most complicated data needs. And now, we're seeing that move into AI where, as we all know, you can't get AI without having your data be ready in its most pristine state.

>> Yeah. And I think, again, you had an announcement today around Cortex and generative AI, and really strengthening that. Why don't you tell us a little bit more about the actual announcement?

Rik Tamm-Daniels

>> Yeah, there were two big pieces of the announcement, and as Tarik mentioned, we have a strong history of innovation. That's a big part of how we work together and these are the latest examples of that innovation. So, the first is we announced our blueprint for generative AI with Snowflake Cortex. And so that really is kind of a roadmap for customers who are looking to build generative AI applications on the Snowflake data cloud, provide them a roadmap for how do they do so in an enterprise context? How do they bring enterprise metadata? How do they bring trusted enterprise data to bear to ultimately deliver applications that can be trusted? And the second piece of it was we announced we call a native SQLELT. That's quite a long acronym there. But basically, with Informatica, we are very focused on utilizing the compute power of the underlying platform. And so, Snowflake data cloud's an incredibly powerful platform, and so we're focused on pushing down data pipelines, so we create no-code data pipelines, but pushing them down. And this latest innovation we're dramatically expanding the range of capabilities and functionality that are natively available in Snowflake that Informatica users can just tap into in a super easy way from our user experience, but run that processing natively on the Snowflake platform.

Rebecca Knight

>> At this moment in time when so many organizations are trying to utilize gen AI, your partnership really has a special new relevance and really more important than ever before. Can you just describe for us, Tarik, the landscape of what you're seeing right now in terms of what the challenges that organizations are facing in terms of making sure their data is ready?

Tarik Dwiek

>> Definitely. I think if you look at certain surveys out there, generative AI is... 70% of executives across technology companies, across every industry actually, are looking to deploy a gen AI application within the next two years, and they see that it's truly transformative. And we see it ourselves at Snowflake in a lot of the productivity advantages in terms of engineering folks, in terms of customer service, in terms of our IT organization. And so, what we feel is very important, the areas customers are more concerned about are areas around governance of data. Do they have the right copy? Is it the single source of truth that they're going to trust in order to go ask additional questions? Or democratize into the hands of their entire enterprise organization? And so, with Informatica and Snowflake, we've focused on security from the very beginning. We focused on governance from the very beginning, to ensure that customers have the highest-quality data, ensure that they understand who has access to that data, to understand where the data sits and deeper information about that data. And that's become key, very critical to what customers are trying to do with gen AI. And we're hoping that that starts to address some of their concerns and accelerates their entrance into taking advantage of gen AI and the applications that they can go and deploy.

>> Yeah, I mean it makes so much sense because when I think of Snowflake and knowing Snowflake for quite a while, and having been partnered myself with Snowflake, when you start to look at it, one of the things that I think is great about Informatica and Snowflake together is the fact that you may have different Snowflake pods, where you have data that needs to be actually brought together and transformed to actually provide that answer or something of that nature. And that's kind of where that governance up above from Informatica comes in, right?

Rik Tamm-Daniels

>> Yeah, absolutely. And as Tarik said, governance has been a concern, but it's even bigger concern in the gen AI era. And so, a greater area of innovation. We were a launch partner for Snowflake Horizon, which is kind of their data governance capabilities and platform. So, having that assurance is really, really important. I'd say the other angle too, that customers struggle with is they know they need to bring their data to gen AI. They know they need to bring it to Snowflake, but data quality is ongoing issue that has not been solved by any means. And so, it's not all data's created equal in the gen AI world. So, you really want that high-fidelity trusted cleansed data, and Informatica plays a big role there as well.

Rebecca Knight

>> Can you share some customer stories of challenges that they were facing that they came to you and you really could help them unlock the value?

Rik Tamm-Daniels

>> Yeah, so we've had a whole range of customer success and we have a lot of customers who are looking to build just modern data in the cloud. And so, helping them assemble their data, get it from on-premise sources, get it quickly into the cloud. Informatica, we have joint programs with Snowflake to accelerate that journey, but then looking to deploy use cases, for example, think about sourcing. As someone who's analyst trying to source new products, being able to go and look out at public data and say, "I want products that fit this general criteria." An LLM is great, a public multi-trained model to help them find what they might be interested in, but then be able to say, "Well, I need to connect this back to my supplier database. Do I actually have a relationship with a supplier? How can I actually source this?" And so, that's a great example of just connecting that the public chat interface experience, but grounding it and making it highly relevant by tying it to your data assets.

>> Yeah, I think, again, part of it is also that there's different verticals that you both go after, and there's the tie-in. And we saw some of it in the demo earlier today about how do you ground things in certain and understand, okay, this is my claims data and things of that nature from the insurance. And we talked about it, it's like, hey, most of these companies data is really what their companies are built on, it's their IP. Are you seeing Informatica bringing that cross vertical, but having some vertical specificity is really helping with Snowflake as well?

Tarik Dwiek

>> Indeed, if you look across our joint customer base, the great thing is we're in these large enterprises across every industry, whether it's financial services, whether it's healthcare life sciences, manufacturing. And because we've been working with these customers for a very long time, we have an intimate understanding of the use cases that are most relevant for them. And we've taken those use cases and we've packaged them up so other customers can see, "Oh, I have a supply chain optimization problem. This is how Informatica and Snowflake have solved it for other large firms like myself. I can take full advantage." So, just taking advantage of expertise and making sure we can replicate across all of our customers to have equal success is of the ultimate importance for us.

Rebecca Knight

>> Well, that sharing of best practices, as you're talking about, and bringing together companies that are facing similar obstacles in their way and then saying, "Hey, we've dealt with that before. We can fix that." Can you just describe the approach that that takes? Because I mean it's not just the technology, it really is about the mindset and the strategy behind it too.

Tarik Dwiek

>> That's right.

Rik Tamm-Daniels

>> Yeah. I'd say it's definitely analytics, generative AI. There is a people process angle for sure to all of this. And it's fantastic we have a rich partner ecosystem here who helps customers on that journey and figure that out. But there is a certain amount of adoption that needs to go with it. So, a lot of my customer discussions this week have been talking about how do you incentivize the organization so that everyone's invested in having a data-centric culture? And they're actually incentivized, they're measured, and really create this idea of not just am I serving requests, but I actually I want to drive consumption of my data as an asset in the broader enterprise. And that is a people process thing that goes hand-in-hand with the technology, but you also have to have the right technology foundation to enable that as well, right? So, it is this kind of meeting in the middle of the organizational change management with a strong technical foundation that gives you all those core services you need.

>> I think, again, with the announcement around SQL and the native aspect of that, you're helping with over 250 different Snowflake-specific functions that actually the cognitive load that must take off of data engineers has to be huge.

Tarik Dwiek

>> And that's a key point there because if you look at our partnership and how we've helped customers and how we're taking that to AI, they're really three key pillars. First is just make it easy and simple, right? Remove all the complexities that are bogging down all these customers from actually getting to the business problems that they're trying to solve. Make it efficient, make sure the TCO makes sense, and then finally make it secure. We talked about security. So, it's trusted and they can continue to move on to innovate it, continue to move on to being leaders in their respective industries.

Rebecca Knight

>> We talk about cognitive load on this show a lot and toil. Are they really feeling it yet already? Are they feeling the increased productivity? Are they feeling the decreased mental load of all that they have to do to make sure the data is, as you say, private and secure and ready? Do you think that already, that is transforming the job of an engineer, or are we still not quite there yet?

Rik Tamm-Daniels

>> No, I mean I think it definitely makes a difference. Informatica, we've been very much focused on the no-code experience, configuration-driven experience, and we talked with Snowflake, we talked with the joint customers. We're focused on two big elements. So, one is speed is of the essence, getting started quickly. And so, for example, last year we announced we call our Superpipe for Snowflake, which is our three and a half times faster versus legacy change data capture approaches to get data replicated in. But then, we are focused on the scaling of consumption side as well. And that's where security, governance, all those trusts comes in. And when you put something like IDMC as the foundation, when is it happening, is that those engineers are actually more productive because the governance is there. The work they're doing is getting captured. We're getting lineage, we're getting transparency and traceability, which ultimately means that they can deploy more faster. So, I think those benefits are definitely being realized across the portfolio when in terms of the Snowflake data cloud.

Tarik Dwiek

>> And to add to that, are these customers starting to take advantage and see the benefits? And what we're seeing today at least is on the productivity gains, definitely. For instance, software engineers and the ability to take advantage of autocompleting code. I think what they're saying now is 30% of what they do in terms of writing code can be automated through things like gen AI. We're seeing in chatbot examples, like a manufacturing company we were talking to last week was able to upload all of these service manuals, which are huge, like multi-hundred page documents that normally you'd have to dig through and you can do a simple search. But what if you're trying to say, "I need to troubleshoot a certain problem on a certain airplane," as an example? Well, now with gen AI, I have a complicated prompt to ask a question and I can feed all my different manuals that are company specific, and it'll come back with a very relevant result. So, people are seeing the power of that. I think they're not unlocking larger enterprise problems until they're comfortable with the trust and security factor, and this is where we think our partnership is going to be critical to that.

>> Yeah, I mean, I think the trust, the governance, also the repeatability. Because I think part of governance and doing it is doing it once really well, standardizing on that. That has to be a big piece of, especially with the ELT and being native and stuff of that nature, you want to do it the same way each time. It gets also to the fact that you also want the same answers when you get to gen AI and won't go that deep into it. But that has to be one of the thinking of why Informatica went down this path.

Rik Tamm-Daniels

>> Absolutely. And I think one thing that your comment kind of resonated with me is that the other thing we're talking about here is how we're using generative AI to actually accelerate as well within the product experience. So, we've just been talking about how customers can deploy generative AI applications, but at the same time with our ClearGPT, Clear Copilot, we have a lot of great demos here, a lot of great conversations just showcasing how those assistive technologies, how we deploy gen AI in the service of data management. So, in that case, the end user and the data engineer is comfortable the data pipeline, but we're also making it faster to build the data pipeline as well, right?

>> Right.

Rebecca Knight

>> So, I know we're at an Informatica show, but I'm going to see you in a couple of weeks at the Snowflake Summit, where Informatica is of course a Black Diamond sponsor. More announcements will be made there. I mean, can you give us a little sneak preview?

Tarik Dwiek

>> I think the main thing is just you'll see more and more innovation to help drive customer value, and so please come and check it out.

Rebecca Knight

>> Okay. And then, you're also giving a keynote address this evening.

Tarik Dwiek

>> You'll see our CEO, Sridhar Ramaswamy, later this evening at the 5:00 PM keynote, so we're excited to also attend that. So, please don't miss it.

Rebecca Knight

>> So much going on. Excellent. It was a great conversation both of you, Tarik and Rik, thank you so much for coming on theCUBE.

Tarik Dwiek

>> Thank you for having us.

Rebecca Knight

>> I'm Rebecca Knight for Rob Strechay. Stay tuned for more of theCUBE's live coverage of Informatica World. You are watching theCUBE, the leader in enterprise tech news and analysis.

Tarik Dwiek | Snowflake & Rik Tamm-Daniels | Informatica

search

Rebecca Knight

>> Good afternoon, everyone, and welcome back to theCUBE's live coverage of Informatica World, here in Las Vegas, Nevada. I'm your host, Rebecca Knight. Alongside my co-host and analyst, Rob Strechay. Rob, we are really talking a lot about innovation and partnerships today, and it's about the ecosystem, as it often is in these technology shows.

>> It is, but I think, again, as we talked about a couple times, that really Informatica because it can span across and bring so many things like master data management, and catalog, and metadata to multiple different places and really kind of breaks down silos, it's really huge, especially in the cloud.

Rebecca Knight

>> Indeed. Indeed it is. Well, on that note, I would like to introduce our next two guests. We have Tarik Dwiek, he's the head of Global Technology, Alliances at Snowflake. Thank you so much for coming on Tarik, and welcome back, I should say, CUBE veteran.

Tarik Dwiek

>> Thank you. Great to be back. Thank you so much.

Rebecca Knight

>> And Rik Tamm-Daniels, who is a very recent CUBE alumni of GBP Technology Alliances at Informatica. Thank you both.

Rik Tamm-Daniels

>> Good to be here.

Rebecca Knight

>> So, Tarik, I want to start with you. Why don't you talk a little bit about the Snowflake-Informatica partnership, what it's all about? I know it's roughly almost a decade old.

Tarik Dwiek

>> Indeed. Indeed, it is. We've had a successful partnership. As you mentioned, almost a decade in the making, helping customers be very successful managing their data. One of the most important parts of our partnership and why customers have been successful is due to amazing product innovations. It always starts with product innovations. Informatica has always invested in making sure that customers get the most optimal experience in terms of performance, in terms of security. We've got hundreds of joint customers taking amazing advantage of this to solve their most complicated data needs. And now, we're seeing that move into AI where, as we all know, you can't get AI without having your data be ready in its most pristine state.

>> Yeah. And I think, again, you had an announcement today around Cortex and generative AI, and really strengthening that. Why don't you tell us a little bit more about the actual announcement?

Rik Tamm-Daniels

>> Yeah, there were two big pieces of the announcement, and as Tarik mentioned, we have a strong history of innovation. That's a big part of how we work together and these are the latest examples of that innovation. So, the first is we announced our blueprint for generative AI with Snowflake Cortex. And so that really is kind of a roadmap for customers who are looking to build generative AI applications on the Snowflake data cloud, provide them a roadmap for how do they do so in an enterprise context? How do they bring enterprise metadata? How do they bring trusted enterprise data to bear to ultimately deliver applications that can be trusted? And the second piece of it was we announced we call a native SQLELT. That's quite a long acronym there. But basically, with Informatica, we are very focused on utilizing the compute power of the underlying platform. And so, Snowflake data cloud's an incredibly powerful platform, and so we're focused on pushing down data pipelines, so we create no-code data pipelines, but pushing them down. And this latest innovation we're dramatically expanding the range of capabilities and functionality that are natively available in Snowflake that Informatica users can just tap into in a super easy way from our user experience, but run that processing natively on the Snowflake platform.

Rebecca Knight

>> At this moment in time when so many organizations are trying to utilize gen AI, your partnership really has a special new relevance and really more important than ever before. Can you just describe for us, Tarik, the landscape of what you're seeing right now in terms of what the challenges that organizations are facing in terms of making sure their data is ready?

Tarik Dwiek

>> Definitely. I think if you look at certain surveys out there, generative AI is... 70% of executives across technology companies, across every industry actually, are looking to deploy a gen AI application within the next two years, and they see that it's truly transformative. And we see it ourselves at Snowflake in a lot of the productivity advantages in terms of engineering folks, in terms of customer service, in terms of our IT organization. And so, what we feel is very important, the areas customers are more concerned about are areas around governance of data. Do they have the right copy? Is it the single source of truth that they're going to trust in order to go ask additional questions? Or democratize into the hands of their entire enterprise organization? And so, with Informatica and Snowflake, we've focused on security from the very beginning. We focused on governance from the very beginning, to ensure that customers have the highest-quality data, ensure that they understand who has access to that data, to understand where the data sits and deeper information about that data. And that's become key, very critical to what customers are trying to do with gen AI. And we're hoping that that starts to address some of their concerns and accelerates their entrance into taking advantage of gen AI and the applications that they can go and deploy.

>> Yeah, I mean it makes so much sense because when I think of Snowflake and knowing Snowflake for quite a while, and having been partnered myself with Snowflake, when you start to look at it, one of the things that I think is great about Informatica and Snowflake together is the fact that you may have different Snowflake pods, where you have data that needs to be actually brought together and transformed to actually provide that answer or something of that nature. And that's kind of where that governance up above from Informatica comes in, right?

Rik Tamm-Daniels

>> Yeah, absolutely. And as Tarik said, governance has been a concern, but it's even bigger concern in the gen AI era. And so, a greater area of innovation. We were a launch partner for Snowflake Horizon, which is kind of their data governance capabilities and platform. So, having that assurance is really, really important. I'd say the other angle too, that customers struggle with is they know they need to bring their data to gen AI. They know they need to bring it to Snowflake, but data quality is ongoing issue that has not been solved by any means. And so, it's not all data's created equal in the gen AI world. So, you really want that high-fidelity trusted cleansed data, and Informatica plays a big role there as well.

Rebecca Knight

>> Can you share some customer stories of challenges that they were facing that they came to you and you really could help them unlock the value?

Rik Tamm-Daniels

>> Yeah, so we've had a whole range of customer success and we have a lot of customers who are looking to build just modern data in the cloud. And so, helping them assemble their data, get it from on-premise sources, get it quickly into the cloud. Informatica, we have joint programs with Snowflake to accelerate that journey, but then looking to deploy use cases, for example, think about sourcing. As someone who's analyst trying to source new products, being able to go and look out at public data and say, "I want products that fit this general criteria." An LLM is great, a public multi-trained model to help them find what they might be interested in, but then be able to say, "Well, I need to connect this back to my supplier database. Do I actually have a relationship with a supplier? How can I actually source this?" And so, that's a great example of just connecting that the public chat interface experience, but grounding it and making it highly relevant by tying it to your data assets.

>> Yeah, I think, again, part of it is also that there's different verticals that you both go after, and there's the tie-in. And we saw some of it in the demo earlier today about how do you ground things in certain and understand, okay, this is my claims data and things of that nature from the insurance. And we talked about it, it's like, hey, most of these companies data is really what their companies are built on, it's their IP. Are you seeing Informatica bringing that cross vertical, but having some vertical specificity is really helping with Snowflake as well?

Tarik Dwiek

>> Indeed, if you look across our joint customer base, the great thing is we're in these large enterprises across every industry, whether it's financial services, whether it's healthcare life sciences, manufacturing. And because we've been working with these customers for a very long time, we have an intimate understanding of the use cases that are most relevant for them. And we've taken those use cases and we've packaged them up so other customers can see, "Oh, I have a supply chain optimization problem. This is how Informatica and Snowflake have solved it for other large firms like myself. I can take full advantage." So, just taking advantage of expertise and making sure we can replicate across all of our customers to have equal success is of the ultimate importance for us.

Rebecca Knight

>> Well, that sharing of best practices, as you're talking about, and bringing together companies that are facing similar obstacles in their way and then saying, "Hey, we've dealt with that before. We can fix that." Can you just describe the approach that that takes? Because I mean it's not just the technology, it really is about the mindset and the strategy behind it too.

Tarik Dwiek

>> That's right.

Rik Tamm-Daniels

>> Yeah. I'd say it's definitely analytics, generative AI. There is a people process angle for sure to all of this. And it's fantastic we have a rich partner ecosystem here who helps customers on that journey and figure that out. But there is a certain amount of adoption that needs to go with it. So, a lot of my customer discussions this week have been talking about how do you incentivize the organization so that everyone's invested in having a data-centric culture? And they're actually incentivized, they're measured, and really create this idea of not just am I serving requests, but I actually I want to drive consumption of my data as an asset in the broader enterprise. And that is a people process thing that goes hand-in-hand with the technology, but you also have to have the right technology foundation to enable that as well, right? So, it is this kind of meeting in the middle of the organizational change management with a strong technical foundation that gives you all those core services you need.

>> I think, again, with the announcement around SQL and the native aspect of that, you're helping with over 250 different Snowflake-specific functions that actually the cognitive load that must take off of data engineers has to be huge.

Tarik Dwiek

>> And that's a key point there because if you look at our partnership and how we've helped customers and how we're taking that to AI, they're really three key pillars. First is just make it easy and simple, right? Remove all the complexities that are bogging down all these customers from actually getting to the business problems that they're trying to solve. Make it efficient, make sure the TCO makes sense, and then finally make it secure. We talked about security. So, it's trusted and they can continue to move on to innovate it, continue to move on to being leaders in their respective industries.

Rebecca Knight

>> We talk about cognitive load on this show a lot and toil. Are they really feeling it yet already? Are they feeling the increased productivity? Are they feeling the decreased mental load of all that they have to do to make sure the data is, as you say, private and secure and ready? Do you think that already, that is transforming the job of an engineer, or are we still not quite there yet?

Rik Tamm-Daniels

>> No, I mean I think it definitely makes a difference. Informatica, we've been very much focused on the no-code experience, configuration-driven experience, and we talked with Snowflake, we talked with the joint customers. We're focused on two big elements. So, one is speed is of the essence, getting started quickly. And so, for example, last year we announced we call our Superpipe for Snowflake, which is our three and a half times faster versus legacy change data capture approaches to get data replicated in. But then, we are focused on the scaling of consumption side as well. And that's where security, governance, all those trusts comes in. And when you put something like IDMC as the foundation, when is it happening, is that those engineers are actually more productive because the governance is there. The work they're doing is getting captured. We're getting lineage, we're getting transparency and traceability, which ultimately means that they can deploy more faster. So, I think those benefits are definitely being realized across the portfolio when in terms of the Snowflake data cloud.

Tarik Dwiek

>> And to add to that, are these customers starting to take advantage and see the benefits? And what we're seeing today at least is on the productivity gains, definitely. For instance, software engineers and the ability to take advantage of autocompleting code. I think what they're saying now is 30% of what they do in terms of writing code can be automated through things like gen AI. We're seeing in chatbot examples, like a manufacturing company we were talking to last week was able to upload all of these service manuals, which are huge, like multi-hundred page documents that normally you'd have to dig through and you can do a simple search. But what if you're trying to say, "I need to troubleshoot a certain problem on a certain airplane," as an example? Well, now with gen AI, I have a complicated prompt to ask a question and I can feed all my different manuals that are company specific, and it'll come back with a very relevant result. So, people are seeing the power of that. I think they're not unlocking larger enterprise problems until they're comfortable with the trust and security factor, and this is where we think our partnership is going to be critical to that.

>> Yeah, I mean, I think the trust, the governance, also the repeatability. Because I think part of governance and doing it is doing it once really well, standardizing on that. That has to be a big piece of, especially with the ELT and being native and stuff of that nature, you want to do it the same way each time. It gets also to the fact that you also want the same answers when you get to gen AI and won't go that deep into it. But that has to be one of the thinking of why Informatica went down this path.

Rik Tamm-Daniels

>> Absolutely. And I think one thing that your comment kind of resonated with me is that the other thing we're talking about here is how we're using generative AI to actually accelerate as well within the product experience. So, we've just been talking about how customers can deploy generative AI applications, but at the same time with our ClearGPT, Clear Copilot, we have a lot of great demos here, a lot of great conversations just showcasing how those assistive technologies, how we deploy gen AI in the service of data management. So, in that case, the end user and the data engineer is comfortable the data pipeline, but we're also making it faster to build the data pipeline as well, right?

>> Right.

Rebecca Knight

>> So, I know we're at an Informatica show, but I'm going to see you in a couple of weeks at the Snowflake Summit, where Informatica is of course a Black Diamond sponsor. More announcements will be made there. I mean, can you give us a little sneak preview?

Tarik Dwiek

>> I think the main thing is just you'll see more and more innovation to help drive customer value, and so please come and check it out.

Rebecca Knight

>> Okay. And then, you're also giving a keynote address this evening.

Tarik Dwiek

>> You'll see our CEO, Sridhar Ramaswamy, later this evening at the 5:00 PM keynote, so we're excited to also attend that. So, please don't miss it.

Rebecca Knight

>> So much going on. Excellent. It was a great conversation both of you, Tarik and Rik, thank you so much for coming on theCUBE.

Tarik Dwiek

>> Thank you for having us.

Rebecca Knight

>> I'm Rebecca Knight for Rob Strechay. Stay tuned for more of theCUBE's live coverage of Informatica World. You are watching theCUBE, the leader in enterprise tech news and analysis.