Snowflake Data Cloud Summit 2024 | Mukesh Kumar | Slalom Consulting & Amy Kodl | Snowflake

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Mukesh Kumar

President, Global Technology

Slalom

Amy Hirst-Kodl

Head of GSI & Americas Alliances

Snowflake

Customer-centric AI: How Snowflake and Slalom are shaping the future of AI

The technology landscape is rapidly evolving, with innovative companies such as Snowflake Inc. leading the charge in artificial intelligence integration and pushing the boundaries of what’s possible.Central to these advancements are the transformative roles of artificial intelligence, strategic partnerships and customer-centric approaches that drive significant value and competitive advantage, according to Mukesh Kumar (pictured, right), president of global technology at Slalom.Snowflake’s Amy Hirst-Kodl and Slalom’s Mukesh Kumar talk to theCUBE about Snowflake AI integration.“I believe Slalom is the most customer-obsessed company on the planet,” he said

play_circle_outline Slalom's collaboration with Snowflake in the Snowflake focused business unit

play_circle_outline Industry-first approach in Snowflake's go-to-market strategy

play_circle_outline Co-investment and collaboration between Slalom and Snowflake

play_circle_outline Driving Innovation and Customer Obsession: Snowflake's Partnered Approach with Slalom for AI Adoption and Scalable Solutions

Info

Mukesh Kumar | Slalom Consulting & Amy Kodl | Snowflake

Mukesh Kumar

President, Global Technology Slalom

Amy Hirst-Kodl

Head of GSI & Americas Alliances Snowflake

search

Rebecca Knight

>> Hello everyone, and welcome back to theCUBE's Live coverage of Snowflake Data Cloud Summit here in San Francisco, California. I'm your host, Rebecca Knight, sitting alongside my co-host and analyst, Dave Vellante. Dave, what's really coming through being here on the show floor is the vast ecosystem of partners that Snowflake has.

>> Not withstanding COVID because it made it hard to follow the trajectory, but we've seen many companies, Rebecca, start out like Snowflake did with a smaller ecosystem, then it grows. And a sign of that growth and vibrancy is when the global system integrators get involved because they have such depth of capabilities within industries and global reach, and that is a sign of momentum.

Rebecca Knight

>> Well, a terrific segue to introduce our next two guests. I'd like to welcome Mukesh Kumar. He is the President Global Technology at Slalom Consultant. Welcome, Mukesh.

Mukesh Kumar

>> Thank you, Rebecca. Thank you.

Rebecca Knight

>> And Amy Kodl. She is the Head of GSI in America's Alliances at Snowflake. Welcome, Amy.

>> Thanks for having me.

Rebecca Knight

>> Both of your first time on theCUBE, so this is a very exciting,

>> Exciting.

Rebecca Knight

>> Exciting segment.

Mukesh Kumar

>> Exciting good stuff.

Rebecca Knight

>> Yeah. Mukesh, we've had many people from Slalom on the show before, but I'd love you to start by talking a little bit about Slalom Consulting, what you do, and where you are.

Mukesh Kumar

>> Slalom is a modern technology firm. By modern, I mean we focus a hundred percent on things that are present and future and we don't focus on the past. We work very closely with our clients. Our service portfolio is very broad, from strategy to business to technology to AI. We're end-to-end consulting company that believes in co-creation with our clients.

>> What does that mean? It means you're not maintaining COBOL code. Is that it

Mukesh Kumar

>> That's exactly .

>> Is that an example?

Mukesh Kumar

>> Yeah. The big 500% teams that are doing ERP implementations, were not that. We're really developing solutions with our clients, with teams that are very, very nimble, driving outcomes, driving transformations.

>> So you would essentially walk away from that job shop type of business and say, "Hey, there's other people that are better at that than we are." But sometimes those projects are on the fence. How do you handle that? Do you say, "Hey, there maybe is another way," and do you have much success with that?

Mukesh Kumar

>> We do. So listen, that's a fantastic question. I believe Slalom is the most customer-obsessed company on the planet. As we work with our clients, we really look at how can we best support them, best help them. We don't hire people that have desire to work on legacy COBOL code or things that are 25 years past. What we really look for is, how can we still support them through say, developing partnerships with companies that try on doing that type of work? We've done a lot of that type of work where we partner and we own the whole transformation, own the whole program on behalf of the client, executing on the more modern pieces and more legacy pieces, really manage on behalf of clients through some of our partnerships we're doing.

>> Thank you. Rebecca, you know there's nothing wrong with that legacy code maintenance, it's just not as interesting for CUBE interviews.

Rebecca Knight

>> No, indeed, indeed it's not. But you're here to talk about the new Snowflake business unit. Can you tell us a little bit about the impetus for it?

Mukesh Kumar

>> Yeah. Snowflake business is not new for us. We've been Snowflake's partner of the year for five plus years, and what we did recently is we created a Snowflake focused business unit. As I talked about customer obsession, when customers are coming to us and we're looking at their use cases, they're talking about Snowflake as a platform, as an anchor, as a starting point, we are seeing that Snowflake's value and our values are aligned in terms of customer obsession. It is a no-brainer for us to create a focus team with a depth of expertise of client's need and desire, so that's the impetus behind us standing up that business unit.

>> Amy, I was walking over here through the industry section and I remember when you guys really started to focus on different industries. I saw manufacturing and entertainment and media, et cetera. Financial services obviously has been a big one. Could you describe that evolution of Snowflake and how you've come to this point and where you're headed?

>> Sure, sure. I think industry is how we're going to market now, and you really see that, obviously, physically instantiated here in the booths and in our village, our vertical village. But really in terms of how our teams are organized, we're really taking an industry-first approach, which is we need to be able to speak the language of our customers and so we count on partners like Slalom, who is excellent at this, to really translate our technology and to industry-specific use cases. And we see Slalom across all industries, financial services for sure, healthcare, life sciences. Really media and entertainment though is a strength as well. In fact, they won the partner of the year award for our media and entertainment industry. And they really are a partner that leads industry first. And so our go-to-market is about not only industry-specific use cases, but industry solutions that we invest jointly in with our partners to build. Those can be toolkits or accelerators, but sometimes they're full-blown industry applications. And so we have a whole set of marketplace and product partners that are building industry-specific solutions that augment what our services partners do.

>> What were you doing with AI before the AI heard around the world and how has that evolved and what are some of the more interesting activities going on today?

Mukesh Kumar

>> We've always had strong AI practice. We were focused on a lot of what technology could provide before Generative AI, a lot of use cases around risk analysis, identification, recommendation engines and things like that. With GenAI, the whole new landscape opened up as you know. When GenAI's with OpenAI's announcements, et cetera came out, our clients were confused. They were thinking, "Okay, what do we do with this?" So we ran a very targeted program, we called it Project 1K, where we created 1,000 demos for a hundred clients in a hundred days to show them what GenAI could do. You can talk until the cows come home and not be able to explain to somebody who's new to Generative AI, especially a year ago, but when you show them to say, "You can do this," that was a game changer. Now, obviously a lot of our clients, most of our clients, understand the power of Generative AI, and now our focus is on, "How do you provide business value? What use cases are investable? How do you really organize your team and create that flywheel effect? How do you create the data readiness in your organization?" Now, our next program is we're calling Project 10 billion, is to bring 10 billion of investable use cases, the value to our clients in next six months.

>> I love this conversation because right now it's like ROI's elusive a little bit, in the enterprise anyway, not in consumer. Selling ads, you're in good shape. What was those thousand projects? Was it a lot of doing a lot of RAG fun demos? Maybe orchestration? Can you describe what that portfolio looked like?

Mukesh Kumar

>> Yeah. The portfolio really was a spectrum, but I would say most of the use cases was taking a business problem and really identifying how do you apply Generative AI? I'll give you an example or two. How do you use GenAI in customer service scenario? What is it ready for and what is it not ready for? How can you help a customer service agent with this new Generative AI? So, that was one example. Intelligent search. I won't name the client, but a client, a cruise company where you go on their website, you're looking for cruise options, and there's just so many options their customers got lost. If you could have the power of Generative AI do that search for you where you say, "I want to go on a vacation this summer, my budget is $2,000 to $3,000 and I really get seasick, so bigger ships are better for me." All of those things, if you can say that in natural language and you get three options back, that was transformative experience and that particular client actually saw four times the conversion after they put that in production. So those are the use cases, but going to the other end of the spectrum, you asked about RAG, et cetera. We have helped clients really set up their GenAI foundation, really think about... Because they're a large enough client, does it make sense for them to train their own LLM or really use existing LLM and use vector databases? How do they combine their own proprietary data with these foundational models? So there were those proof of concepts as well.

>> You must be loving this conversation.

Mukesh Kumar

>> I do.

>> Because...

Mukesh Kumar

>> This is where we're headed....

>> This just feeds right into your GenAI strategy. A lot of the stuff you guys announced today dovetails nicely and makes your life easier that you don't have to do all that heavy lifting anymore and just up the stack. I wonder if you could comment.

>> Yeah, absolutely. I think it was really clear with what Mukesh said that they've always taken an AI first approach and we've seen an incredible amount of investment that they're making with us around helping clients advance in their journey with Snowflake and really taking advantage of the data as a platform and being able to build the house of AI on top. We are actually investing co-investing in some solutions that they're building that are going to showcase Cortex and our Arctic LLM and a couple other parts of our Generative AI offerings to take out to our clients and one of them is around helping state agencies actually place folks who are experiencing homelessness. So we're seeing a lot of traction in the public public sector space. And so I think partners like Slalom and Slalom specifically are really diving into our innovation. It's moving so fast, but they're getting in with us when our products are still in private preview or public preview and really testing it and trying it out with clients and giving us feedback along the way, and they're really helping make sure we launch GA with really durable great products. So, hats off to Slalom. Thank you.

Rebecca Knight

>> I'm really fascinated to hear this because it really is about this cultural fit between Slalom and Snowflake in terms of this customer-centric focus and also the idea that experimentation and letting people get to play with this stuff to really understand, number one, how it works and two, how powerful it can be. Can you talk a little bit about the ways in which you work together, giving each other feedback along the way, to make sure that this partnership is a success and that you both do continue to invest resources and time and effort into it?

Mukesh Kumar

>> Sure. I'll start Amy.

>> Yeah, sure. Please go.

Mukesh Kumar

>> We at Slalom have this concept of relentless focus on teams and our definition of team is not people that live within Slalom. It is amazing partners like Snowflake that have that shared value. It is our customers that we partner with to deliver those solutions. It is an amazing partnership we have with Snowflake and we are embarking on this strategic collaboration, so we're not collaborating on an ad hoc level and we have three key pillars. Amy, you talked about how do we have Slalom people really be trained on private previews, public previews, so our customers are ready to implement those technologies when they come out. We're co-investing in that we're creating solutions together, and Snowflake is kindly providing funding for customers where they're stuck. They don't know what to do to really get to that answer, and then they can be on that journey. So, I'm really grateful for the partnership. Amy, thank you.

>> Same. Thank you. And I think this collaboration agreement is really just formalizing a lot of what our partnership has already been about, which is jointly investing to make sure customers are taking advantage of all of Snowflake's offerings. And so putting this collaboration agreement in place and really formalizing it around these areas of the training investment, the innovation, and the asset building or the solution building, I think it's really going to just take our partnership to the next level.

>> The pace is obvious. We always talk about how fast the pace is.

>> Yes.

>> We really in our industry have never seen this before, but so it's a hard question to answer in the sense that, what do you want to be able to say next year based on the roadmap that you have together and your priorities? Which are probably going to change next week.

Mukesh Kumar

>> Yeah.

>> But given where they are today coming out of Snowflake Summit, where do your priorities?

Mukesh Kumar

>> I believe Snowflake is one of the most innovative companies on the planet, so it is... Like I tuned into announcements today, you probably saw those too. It is just amazing the rate at which Snowflake is innovating and what I would be proud to be able to say that Slalom is Snowflake's most innovative partner. We are in lock steps with each other driving real customer value. You can do a lot of experimentation, create a lot of toys that go nowhere, but if you're driving real customer value, providing improving human lives, providing that cost advantage, competitive advantages to enterprises, that's what will make me proud.

Mukesh Kumar

>> I'd love to be standing here next year on stage with Mukesh showcasing a real example where you've done exactly what you shared and then doing it at scale. Slalom's a great partner, and they will be with us. I know we will next year.

>> Yeah, it's going to be interesting to see how it plays out because I think enterprises, I always say hitting a lot of singles right now with AI, a lot of experimentation going on, some of the really big hard to solve problems. It feels like it's going to take a while, but who knows at this pace that we're going?

Mukesh Kumar

>> Yeah, I agree. I would say good, 50 to 70% of the client I talked to, you said it very well, that they are trying to figure out how do they go from singles to really turning that into a flying a machine where they have a way of prioritizing the use cases grounded in ROI. They need to figure out what is the right structure for it, how do they really think about safety and trust, because there's tons of risk associated, and Snowflake has that trust and safety built into the platform. So, we're really helping our clients figure that out to really accelerate their adoption of AI and Generative AI.

>> Right. And the Mike Scarpelli's of the world aren't just going to open up the checkbook and say, "Here you go. Let's get a one in 10 hit rate." No, they're going to want a business case and they're going to want a high probability and it's like I said. It's easy in consumer. If you're Facebook, you're going to sell more ads. I get it. But those enterprise use cases, there's dozens and thousands and hundreds. Right?

Mukesh Kumar

>> Exactly.

>> Well, I think that's why we're talking about this as the enterprise AI era and that Snowflake as a platform being easy, efficient, and trusted is really going to be a platform that customers can really build the house of AI on top of. We hear there's risk and maybe has some hesitation at times and really going full speed ahead, but I think Snowflake's the platform to do it with because of our inherent security and governance models and the really this trusted nature of our platform that customers have relied on for years in the data space that they can now rely on in the AI space.

>> Yeah, the early days of big data, you saw a lot of shadow big data, and nobody was even thinking about governance back then. Then a couple of years later, somebody said, "Well, wait a minute. We better reel this stuff in." That's really not happening today. There might be some experiments going on outside of the purview of legal and compliance, but organizations are much more focused on the risks, and so they do need a partner like Snowflake and Slalom to help hold their hand through that. But that's where that's table stakes. The innovation on top of that is what's really exciting. That tens of billions of dollars of value got my attention.

Mukesh Kumar

>> Exactly. That's where the real business is and real human impact is. We are really passionate together on what is the impact on customer's customers. It's one thing for you to be our customers and knowing about you want to increase efficiency by X percent, Y percent, but what is the impact? How much time are we seeing our customer's customers sifting through that mountains of data that is presented to them, those options and choices, and really putting the smile on their face through those experiences. That just keeps me going every day.

Rebecca Knight

>> Well, a terrific note to end on. Mukesh and Amy, thank you both so much for coming on theCUBE. Your first time. Well done.

>> Thank you guys.

Mukesh Kumar

>> You bet.

Rebecca Knight

>> I'm Rebecca Knight for Dave Vellante. Stay tuned for more of theCUBE's live coverage of Snowflake's Data Cloud Summit. You're watching theCUBE, the leader in enterprise tech news and analysis.

Mukesh Kumar | Slalom Consulting & Amy Kodl | Snowflake

search

Rebecca Knight

>> Hello everyone, and welcome back to theCUBE's Live coverage of Snowflake Data Cloud Summit here in San Francisco, California. I'm your host, Rebecca Knight, sitting alongside my co-host and analyst, Dave Vellante. Dave, what's really coming through being here on the show floor is the vast ecosystem of partners that Snowflake has.

>> Not withstanding COVID because it made it hard to follow the trajectory, but we've seen many companies, Rebecca, start out like Snowflake did with a smaller ecosystem, then it grows. And a sign of that growth and vibrancy is when the global system integrators get involved because they have such depth of capabilities within industries and global reach, and that is a sign of momentum.

Rebecca Knight

>> Well, a terrific segue to introduce our next two guests. I'd like to welcome Mukesh Kumar. He is the President Global Technology at Slalom Consultant. Welcome, Mukesh.

Mukesh Kumar

>> Thank you, Rebecca. Thank you.

Rebecca Knight

>> And Amy Kodl. She is the Head of GSI in America's Alliances at Snowflake. Welcome, Amy.

>> Thanks for having me.

Rebecca Knight

>> Both of your first time on theCUBE, so this is a very exciting,

>> Exciting.

Rebecca Knight

>> Exciting segment.

Mukesh Kumar

>> Exciting good stuff.

Rebecca Knight

>> Yeah. Mukesh, we've had many people from Slalom on the show before, but I'd love you to start by talking a little bit about Slalom Consulting, what you do, and where you are.

Mukesh Kumar

>> Slalom is a modern technology firm. By modern, I mean we focus a hundred percent on things that are present and future and we don't focus on the past. We work very closely with our clients. Our service portfolio is very broad, from strategy to business to technology to AI. We're end-to-end consulting company that believes in co-creation with our clients.

>> What does that mean? It means you're not maintaining COBOL code. Is that it

Mukesh Kumar

>> That's exactly .

>> Is that an example?

Mukesh Kumar

>> Yeah. The big 500% teams that are doing ERP implementations, were not that. We're really developing solutions with our clients, with teams that are very, very nimble, driving outcomes, driving transformations.

>> So you would essentially walk away from that job shop type of business and say, "Hey, there's other people that are better at that than we are." But sometimes those projects are on the fence. How do you handle that? Do you say, "Hey, there maybe is another way," and do you have much success with that?

Mukesh Kumar

>> We do. So listen, that's a fantastic question. I believe Slalom is the most customer-obsessed company on the planet. As we work with our clients, we really look at how can we best support them, best help them. We don't hire people that have desire to work on legacy COBOL code or things that are 25 years past. What we really look for is, how can we still support them through say, developing partnerships with companies that try on doing that type of work? We've done a lot of that type of work where we partner and we own the whole transformation, own the whole program on behalf of the client, executing on the more modern pieces and more legacy pieces, really manage on behalf of clients through some of our partnerships we're doing.

>> Thank you. Rebecca, you know there's nothing wrong with that legacy code maintenance, it's just not as interesting for CUBE interviews.

Rebecca Knight

>> No, indeed, indeed it's not. But you're here to talk about the new Snowflake business unit. Can you tell us a little bit about the impetus for it?

Mukesh Kumar

>> Yeah. Snowflake business is not new for us. We've been Snowflake's partner of the year for five plus years, and what we did recently is we created a Snowflake focused business unit. As I talked about customer obsession, when customers are coming to us and we're looking at their use cases, they're talking about Snowflake as a platform, as an anchor, as a starting point, we are seeing that Snowflake's value and our values are aligned in terms of customer obsession. It is a no-brainer for us to create a focus team with a depth of expertise of client's need and desire, so that's the impetus behind us standing up that business unit.

>> Amy, I was walking over here through the industry section and I remember when you guys really started to focus on different industries. I saw manufacturing and entertainment and media, et cetera. Financial services obviously has been a big one. Could you describe that evolution of Snowflake and how you've come to this point and where you're headed?

>> Sure, sure. I think industry is how we're going to market now, and you really see that, obviously, physically instantiated here in the booths and in our village, our vertical village. But really in terms of how our teams are organized, we're really taking an industry-first approach, which is we need to be able to speak the language of our customers and so we count on partners like Slalom, who is excellent at this, to really translate our technology and to industry-specific use cases. And we see Slalom across all industries, financial services for sure, healthcare, life sciences. Really media and entertainment though is a strength as well. In fact, they won the partner of the year award for our media and entertainment industry. And they really are a partner that leads industry first. And so our go-to-market is about not only industry-specific use cases, but industry solutions that we invest jointly in with our partners to build. Those can be toolkits or accelerators, but sometimes they're full-blown industry applications. And so we have a whole set of marketplace and product partners that are building industry-specific solutions that augment what our services partners do.

>> What were you doing with AI before the AI heard around the world and how has that evolved and what are some of the more interesting activities going on today?

Mukesh Kumar

>> We've always had strong AI practice. We were focused on a lot of what technology could provide before Generative AI, a lot of use cases around risk analysis, identification, recommendation engines and things like that. With GenAI, the whole new landscape opened up as you know. When GenAI's with OpenAI's announcements, et cetera came out, our clients were confused. They were thinking, "Okay, what do we do with this?" So we ran a very targeted program, we called it Project 1K, where we created 1,000 demos for a hundred clients in a hundred days to show them what GenAI could do. You can talk until the cows come home and not be able to explain to somebody who's new to Generative AI, especially a year ago, but when you show them to say, "You can do this," that was a game changer. Now, obviously a lot of our clients, most of our clients, understand the power of Generative AI, and now our focus is on, "How do you provide business value? What use cases are investable? How do you really organize your team and create that flywheel effect? How do you create the data readiness in your organization?" Now, our next program is we're calling Project 10 billion, is to bring 10 billion of investable use cases, the value to our clients in next six months.

>> I love this conversation because right now it's like ROI's elusive a little bit, in the enterprise anyway, not in consumer. Selling ads, you're in good shape. What was those thousand projects? Was it a lot of doing a lot of RAG fun demos? Maybe orchestration? Can you describe what that portfolio looked like?

Mukesh Kumar

>> Yeah. The portfolio really was a spectrum, but I would say most of the use cases was taking a business problem and really identifying how do you apply Generative AI? I'll give you an example or two. How do you use GenAI in customer service scenario? What is it ready for and what is it not ready for? How can you help a customer service agent with this new Generative AI? So, that was one example. Intelligent search. I won't name the client, but a client, a cruise company where you go on their website, you're looking for cruise options, and there's just so many options their customers got lost. If you could have the power of Generative AI do that search for you where you say, "I want to go on a vacation this summer, my budget is $2,000 to $3,000 and I really get seasick, so bigger ships are better for me." All of those things, if you can say that in natural language and you get three options back, that was transformative experience and that particular client actually saw four times the conversion after they put that in production. So those are the use cases, but going to the other end of the spectrum, you asked about RAG, et cetera. We have helped clients really set up their GenAI foundation, really think about... Because they're a large enough client, does it make sense for them to train their own LLM or really use existing LLM and use vector databases? How do they combine their own proprietary data with these foundational models? So there were those proof of concepts as well.

>> You must be loving this conversation.

Mukesh Kumar

>> I do.

>> Because...

Mukesh Kumar

>> This is where we're headed....

>> This just feeds right into your GenAI strategy. A lot of the stuff you guys announced today dovetails nicely and makes your life easier that you don't have to do all that heavy lifting anymore and just up the stack. I wonder if you could comment.

>> Yeah, absolutely. I think it was really clear with what Mukesh said that they've always taken an AI first approach and we've seen an incredible amount of investment that they're making with us around helping clients advance in their journey with Snowflake and really taking advantage of the data as a platform and being able to build the house of AI on top. We are actually investing co-investing in some solutions that they're building that are going to showcase Cortex and our Arctic LLM and a couple other parts of our Generative AI offerings to take out to our clients and one of them is around helping state agencies actually place folks who are experiencing homelessness. So we're seeing a lot of traction in the public public sector space. And so I think partners like Slalom and Slalom specifically are really diving into our innovation. It's moving so fast, but they're getting in with us when our products are still in private preview or public preview and really testing it and trying it out with clients and giving us feedback along the way, and they're really helping make sure we launch GA with really durable great products. So, hats off to Slalom. Thank you.

Rebecca Knight

>> I'm really fascinated to hear this because it really is about this cultural fit between Slalom and Snowflake in terms of this customer-centric focus and also the idea that experimentation and letting people get to play with this stuff to really understand, number one, how it works and two, how powerful it can be. Can you talk a little bit about the ways in which you work together, giving each other feedback along the way, to make sure that this partnership is a success and that you both do continue to invest resources and time and effort into it?

Mukesh Kumar

>> Sure. I'll start Amy.

>> Yeah, sure. Please go.

Mukesh Kumar

>> We at Slalom have this concept of relentless focus on teams and our definition of team is not people that live within Slalom. It is amazing partners like Snowflake that have that shared value. It is our customers that we partner with to deliver those solutions. It is an amazing partnership we have with Snowflake and we are embarking on this strategic collaboration, so we're not collaborating on an ad hoc level and we have three key pillars. Amy, you talked about how do we have Slalom people really be trained on private previews, public previews, so our customers are ready to implement those technologies when they come out. We're co-investing in that we're creating solutions together, and Snowflake is kindly providing funding for customers where they're stuck. They don't know what to do to really get to that answer, and then they can be on that journey. So, I'm really grateful for the partnership. Amy, thank you.

>> Same. Thank you. And I think this collaboration agreement is really just formalizing a lot of what our partnership has already been about, which is jointly investing to make sure customers are taking advantage of all of Snowflake's offerings. And so putting this collaboration agreement in place and really formalizing it around these areas of the training investment, the innovation, and the asset building or the solution building, I think it's really going to just take our partnership to the next level.

>> The pace is obvious. We always talk about how fast the pace is.

>> Yes.

>> We really in our industry have never seen this before, but so it's a hard question to answer in the sense that, what do you want to be able to say next year based on the roadmap that you have together and your priorities? Which are probably going to change next week.

Mukesh Kumar

>> Yeah.

>> But given where they are today coming out of Snowflake Summit, where do your priorities?

Mukesh Kumar

>> I believe Snowflake is one of the most innovative companies on the planet, so it is... Like I tuned into announcements today, you probably saw those too. It is just amazing the rate at which Snowflake is innovating and what I would be proud to be able to say that Slalom is Snowflake's most innovative partner. We are in lock steps with each other driving real customer value. You can do a lot of experimentation, create a lot of toys that go nowhere, but if you're driving real customer value, providing improving human lives, providing that cost advantage, competitive advantages to enterprises, that's what will make me proud.

Mukesh Kumar

>> I'd love to be standing here next year on stage with Mukesh showcasing a real example where you've done exactly what you shared and then doing it at scale. Slalom's a great partner, and they will be with us. I know we will next year.

>> Yeah, it's going to be interesting to see how it plays out because I think enterprises, I always say hitting a lot of singles right now with AI, a lot of experimentation going on, some of the really big hard to solve problems. It feels like it's going to take a while, but who knows at this pace that we're going?

Mukesh Kumar

>> Yeah, I agree. I would say good, 50 to 70% of the client I talked to, you said it very well, that they are trying to figure out how do they go from singles to really turning that into a flying a machine where they have a way of prioritizing the use cases grounded in ROI. They need to figure out what is the right structure for it, how do they really think about safety and trust, because there's tons of risk associated, and Snowflake has that trust and safety built into the platform. So, we're really helping our clients figure that out to really accelerate their adoption of AI and Generative AI.

>> Right. And the Mike Scarpelli's of the world aren't just going to open up the checkbook and say, "Here you go. Let's get a one in 10 hit rate." No, they're going to want a business case and they're going to want a high probability and it's like I said. It's easy in consumer. If you're Facebook, you're going to sell more ads. I get it. But those enterprise use cases, there's dozens and thousands and hundreds. Right?

Mukesh Kumar

>> Exactly.

>> Well, I think that's why we're talking about this as the enterprise AI era and that Snowflake as a platform being easy, efficient, and trusted is really going to be a platform that customers can really build the house of AI on top of. We hear there's risk and maybe has some hesitation at times and really going full speed ahead, but I think Snowflake's the platform to do it with because of our inherent security and governance models and the really this trusted nature of our platform that customers have relied on for years in the data space that they can now rely on in the AI space.

>> Yeah, the early days of big data, you saw a lot of shadow big data, and nobody was even thinking about governance back then. Then a couple of years later, somebody said, "Well, wait a minute. We better reel this stuff in." That's really not happening today. There might be some experiments going on outside of the purview of legal and compliance, but organizations are much more focused on the risks, and so they do need a partner like Snowflake and Slalom to help hold their hand through that. But that's where that's table stakes. The innovation on top of that is what's really exciting. That tens of billions of dollars of value got my attention.

Mukesh Kumar

>> Exactly. That's where the real business is and real human impact is. We are really passionate together on what is the impact on customer's customers. It's one thing for you to be our customers and knowing about you want to increase efficiency by X percent, Y percent, but what is the impact? How much time are we seeing our customer's customers sifting through that mountains of data that is presented to them, those options and choices, and really putting the smile on their face through those experiences. That just keeps me going every day.

Rebecca Knight

>> Well, a terrific note to end on. Mukesh and Amy, thank you both so much for coming on theCUBE. Your first time. Well done.

>> Thank you guys.

Mukesh Kumar

>> You bet.

Rebecca Knight

>> I'm Rebecca Knight for Dave Vellante. Stay tuned for more of theCUBE's live coverage of Snowflake's Data Cloud Summit. You're watching theCUBE, the leader in enterprise tech news and analysis.