This episode features an interview with Didier Le Tien, Vice President of App Development at US Foods. Didier has nearly 20 years of experience strategizing and executing digital and Big Data transformations. On this episode Didier talks about integrating data into US Foods’ business process and innovation strategy, COVID-19’s impact on the restaurant industry, the new technology landscape the cloud provides, and much more.
This episode features an interview with Didier Le Tien, Vice President of App Development at US Foods. Didier has nearly 20 years of experience strategizing and executing digital and Big Data transformations.
In this episode Didier talks about integrating data into US Foods’ business process and innovation strategy, COVID-19’s impact on the restaurant industry, the new technology landscape the cloud provides, and much more.
--------
How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning.
Attend Snowflake Summit 2023 in Las Vegas June 26-29 to learn how to access, build, and monetize data, tools, models, and applications in ways that were previously unimaginable. Enable seamless alignment and collaboration across these crucial functions in the Data Cloud to transform nearly every aspect of your organization.
Learn more and register at www.snowflake.com/summit
RODC005
Steve Hamm: [00:00:00] . [00:00:00] Nice to meet you, dude. Yeah. I think a lot of our listeners probably aren't familiar with us foods and what it does. Can you start off by describing the company and its business?
Didier Le Tien: [00:00:12] Sure. Absolutely. well, us foods, is a national food distributor. we partner with approximately, 300,000, restaurants and food service operators across the country, to help their businesses succeed. you know, we are mostly known, by our, U S foods, trucks, that you can. See all across the countries, delivering food and supplies to restaurants.
we have about 28,000 employees and about, 70 locations and we provide the customers with a broad, innovative food offering and a comprehensive suite of eCommerce technology and business solutions. So that's who we are.
Steve Hamm: [00:00:54] Yeah, and this is all across North America, Canada, U S or even broader.
[00:01:00] Didier Le Tien: [00:00:59] not, it's just a us.
Steve Hamm: [00:01:01] the U S okay. so I I've looked a little bit at your bio and it's, it's very interesting. You straddle the worlds of technology and business leadership. I see you have a PhD in computer science. You have an MBA, you have experience at management consultancies, and then eight years at U S foods.
And you're overseeing it. Digital transformation and innovation. So that's kind of how your, your resume defines you. How do you define yourself and what role do you play in the digital transformation and the innovation at U S foods?
Didier Le Tien: [00:01:39] Yeah. You know, what I would say is that a. I'm more defining myself as a technology and to the, I have to say, we like, you know, you know, to see how technology is making a difference, both from a business and, you know, Day to day perspective. it's really amazing, frankly, to see what we have been able to [00:02:00] do with what technology has to offer.
So this is really my passion. and you know, at us foods, you know, I'm really, you know, my role is really, around collaborating with many stakeholders, to really identify how we can actually leverage technology in a better way. you know, frankly, to enable our customers, partners and associates to be successful.
So, Oh, this is a great time, I think, to be in technology.
Steve Hamm: [00:02:26] Yeah. Well, I know digital transformation is one of the things you're focusing on. Let's, kind of, hold on a second. I know that digital transformation is one of the things you're focusing on that suggests something really kind of an integration of the technology and the business process in the business, and really kind of a, a journey that you're going on.
If you could describe what the journey is that us foods is going on and your role in it. I think that would be really interesting.
Didier Le Tien: [00:02:57] Yeah, absolutely. Yeah. I think he knows, [00:03:00] you know, as I stated, I think technology is absolutely, bringing a set of capabilities that is pushing many businesses, to rethink, the way they operate and, you know, kind of for them to be creative in a way to better serve their customers. and I have to say U S food is no different from many of those companies.
I think my role, you know, it's really around. Kind of understanding what, you know, us foods, business is try to do and where we're heading and see how, technology can really help them other deliver and the visions, or, you know, help them identify future opportunities for, for various partners and businesses.
so that's, that's really, you know, how I see myself.
Steve Hamm: [00:03:45] Yeah. Yeah. Now, before the COVID crisis, if you could kind of describe, pretend that hadn't happened, what direction was your company going in terms of a technology strategy and specifically a cloud strategy? [00:04:00]
Didier Le Tien: [00:04:00] So I would say SATs, you know, prior to COVID, I mean, we, we're absolutely on track to. Adapt to increasingly adopt cloud technologies. and I have to say that, you know, covert has not changed the strategy, if anything. So, I think that, cloud is becoming an increasing a part of our portfolio because it allows you, it allows us to really find ways to deliver value faster and.
cheaper for our organization. So, it's definitely still a very important part of enabling, innovation for us.
Steve Hamm: [00:04:41] Yeah. And what's the structure at U S foods in terms of the CEO's office? I mean, are you, do you, are you kind of a central kind of, you know, rule maker and guideline maker and standards maker or, or do you actually have a lot of operational [00:05:00] influence or control out in the, the different parts of the business?
Didier Le Tien: [00:05:04] I think that it is, is really positioned as a, as a true partner within the You know, the U S foods organizations. I think, you know, the way we're organized is, is basically true, an area that is actually business focused, right. To make sure that we are really engaged with our business partners, regardless of see, you know, functions actually, to ensure that, to understand their needs and really engage with them on what technology can do.
And then there's a. There's a set of functions, dedicated to features and operational delivery. and I'm actually, building one of them.
Steve Hamm: [00:05:45] Okay. Which one are you leaving?
Didier Le Tien: [00:05:47] I'm leading the application team, vacation development team.
, I'm actually working, you know, to cover. A number of functions ranging from, you know, the strategy innovation, [00:06:00] functions. you know what we call the architecture, down to analytics, as well as application development and application engineering as well.
Steve Hamm: [00:06:08] Okay. Alright. So what are the, what are the newest applications you're developing? What are the most pioneering and potentially powerful things you're working on?
Didier Le Tien: [00:06:19] Well, you know, there's a, there's a number of, you know, of them Into work. But I think that it's the most known is absolutely our eCommerce platform. you know, that is actually a fairly one of the art trademark in the industry, but we, we do a lot in the eCommerce and mobile space, as well as, you know, in other areas, around, you know, big data and so and so forth.
Steve Hamm: [00:06:42] Yeah. So when you talk about e-commerce, you're talking about your main distribution to your customers is through an eCommerce platform.
Didier Le Tien: [00:06:51] Yes, absolutely. you know, U S foods, does, is, is, is pretty, is definitely one's leader in commerce, in the industry.
[00:07:00] Steve Hamm: [00:07:00] Yeah. Yeah. So, when you say it's a leader in the industry, what does it do differently or, or, or before the competitors.
Didier Le Tien: [00:07:09] I think, you know, you use with has a long history of eCommerce. I would say it's been a, an early adopter, you know, of, of e-commerce, and, you know, it's, it's just, you know, keeping the pace of innovations, you know, adding features, you know, to better serve our customers, on a regular basis.
I think that's what these actually make us a leader.
Steve Hamm: [00:07:28] Yeah. Yeah. And is there a role for cloud data analytics in your eCommerce platform?
Didier Le Tien: [00:07:34] Yeah. Yeah, absolutely. I mean, we, you know, like many e-commerce, you know, providers, we, we do spend a lot of time, you know, capturing data to, to understand, you know, our customers, needs, and find better way to address them.
Steve Hamm: [00:07:48] Yeah. Okay. All right. Now earlier we both mentioned the carbon crisis and as we speak, the world is in the middle of this incredible thing, this incredible crisis. [00:08:00] And it's both a healthcare crisis and it's an economic crisis and it's a business crisis for many businesses. And restaurants, your customers have been hit particularly hard.
How was the situation affecting them and also affecting you?
Didier Le Tien: [00:08:18] Well, I would say that, you know, the mandated closures, you know, have certainly impacted our customers. and, you know, this has how did impact, to our business, since the pandemic, heat, I would say that, you know, you know, many of our customers remain a closed. we have seen some adapting, and people think their operations to take and delivery, which, you know, we can see every day and, you know, throughout the crisis, you know, we also been very focused on making sure that, our associates and customers.
Architects will help. They need to navigate through, you know, these, you know, truly new yeah. Landscape. so, so certainly changed a little bit, so way we have a, [00:09:00] you know, operated so far, but I think that we're adjusting.
Steve Hamm: [00:09:04] Yeah. So you're, you're a lot of your customers are basically shut down. Others are doing takeout. Is there anything that that shift has? How has the shift from, from doing a regular, a regular restaurant business is doing primarily take out. How has that affected your business and how has that affected your technology?
Didier Le Tien: [00:09:29] Well, I think that, I would say that from a business perspective, obviously I'm doing takeout is very different, in some cases and, you know, doing, dining, I would say. So, you know, you know, it's true that customers, may other, You know, more quantities of items and less quantity the others.
Right. I think that from a technology perspective, we know our focus has been really on, on, on making sure that, you know, we're facilitating, interactions with our customers. And, and certainly we have, I think people take a number of [00:10:00] our technologies To make sure is that a. We are doing everything we can do to help them.
Right. So that actually can branch from, for example, creating a website for them. And actually we have a initiative called make it now. and, and, and, you know, by, by doing so were really doing as much as we can too, make sure that we're helping operators support, their employees and adapt their business right.
To people, to those new, . And, You know, and we're doing so not only by providing, you know, web content of course, but, you know, through webinars and using different tools. So that's, that's really how we have actually started university technology in addition to what we had. And, you know, on, you know, we're also, working, you know, with various operators, less on the technology side, but more on the, on the process too.
To, to, to find ways to, for, for them to operate in a, in this environment.
Steve Hamm: [00:10:55] Yeah. Yeah. Hey, could you go a little deeper on that? Make it now [00:11:00] initiative? What exactly is it? What's the purpose? What's the technology or the data role in it?
Didier Le Tien: [00:11:06] So I think that, this, I would say from a data perspective, I would say is make it now is more from a pure content perspective. and so, you know, you know, as a Saint, I mean, we're really focused on providing. resources for operators, right? So, you know, some of the, you know, the content we are making available to them, is something like phrase of things like, you know, webinars, right?
And, and, and really tools to help them. I understand how, their businesses can be impacted. And we are basically kind of creating those portfolio solutions You know, to, to help them understand, Hey, what does it mean to, you know, do social distancing and how, what can a strategy can we implement in the dining room?
Right. And what can of tool can we actually provide to support, you know, the change in your operations? You know, moving forward. And so, you know, all human making [00:12:00] shows that we, we spend time helping our in our customers understand how to address those challenges is, is type of things we're doing. You know, we, we also provide, you know, you know, tools, for example, to calculate cash flows and, you know, help, you know, on operationalizing oil, proving to operations around, you know, take out the delivery. So that's, that's the type of things we're doing?
Steve Hamm: [00:12:25] Yeah. Yeah. Now you've talked about data analytics being an important part of your company's digital transformation and innovation strategy. Are you doing anything special with data analytics in response to this crisis?
Didier Le Tien: [00:12:42] yeah, I would say, I would say it's mostly a continuation of what we've been doing for some times around analytics. you know, it's, it's, it's, you know, a team as a day, it's really. I think from a tooling perspective, we have that hasn't changed much, right? I mean, we, we are constantly, you know, leveraging the various [00:13:00] capabilities.
We have, particular, you know, maybe looking at data in different ways, right. To find, different types of insights. and you know, that's more related to the fans that, maybe, you know, some, some of the needs have shifted, you know, compared to what we, we used to be in the past.
Steve Hamm: [00:13:15] You mentioned a different kind of insight. It could do. Just drill down on that a little bit. What, what do you mean exactly?
Didier Le Tien: [00:13:21] Well, you know, one was inside would be, for example, a, you know, if a firm from an operator perspective is that the operator is actually, you know, You know, focused on dining, right. Has a strong and not necessarily on takeout, analytics could be around, you know, making sure that we provide, insight and how the operator could actually do their job or improve its operation on takeout.
Okay. Yeah. That could be also helping the person identifies the type of product he, or she may need, to their suits, the, the new model. Right. So that would be the type of analogies with leverage.
Steve Hamm: [00:13:57] So you're looking for things that the [00:14:00] kinds of food that people will want to take out, and that will be appropriate for that kind of delivery system. It could be very different than, you know, the food that they normally have at the sit down restaurant, I guess.
Didier Le Tien: [00:14:12] yeah, that's correct. I mean, in some cases that means, you know, you know, the situation has led some, some of our customers to really kind of rethink their operations for sure. So, we're, we're here to help them through the tradition.
Steve Hamm: [00:14:24] Yeah. Yeah. Hey, do you think that for some of the customers that, that when things get stable with COVID, that they'll actually kind of stick to a different way of doing business? I mean, this could be really transformational in some ways.
Didier Le Tien: [00:14:39] It could be, future will tell, you know, but I mean, I think that, you know, you hear it in all the news that he knows there's some of those sorts of some of the COVID impact we'll, we'll be here to stay. And, you know, I think that, our customers won't be, You know, w w you know, we'll be part of that movement.
So, So I think on our end, we just need to be ready to help them the best we can.
Steve Hamm: [00:14:58] Yeah. I mean, it seems like [00:15:00] in a way, a crisis always makes people think about. How they were doing it before and think about, well, should we be doing things differently? Whether it's a health crisis or economic or weather or whatever, do you think there'll be any lasting good come out of this?
Didier Le Tien: [00:15:21] I think, you know, it's definitely. A difficult time, but, you know, they're supposed to say that say each time you have a, in a difficult time, I mean, there's always an opportunity to, to do, to improve on something. And I think it's at a, you know, this is , we're going through a very difficult situation, but I think, you know, there will be good lesson to learn from, from that.
I'm pretty sure.
Steve Hamm: [00:15:48] Now just to go back in history a little bit. I understand that U S foods has been a snowflake customer for three or four years, several years. How are you using the snowflake [00:16:00] technology and how has that evolved over time?
Didier Le Tien: [00:16:04] No, I have to say it's it's you're right. I mean, it's been it's I can't believe it's all, it's been four years already. but I have to say it's, it's, it's been a great journey. and, and I think that stuff like a U S food had a, a great partnership throughout the years, you know, You know, I have to say, you know, interestingly enough, I mean, we started with no fake, very small, right?
I mean, we actually brought the technology as a means to really address a specific problem. And, and as a, as we started using the technology, you know, when we came, to quickly realize that, you know, stuff like was bringing a number of, of capabilities that were, definitely. You know, kind of helping accelerate some of the initial strategy we had in mind, where we started to journey around analytics and big data.
and so I think that as we got to need to know and use the technology we have, you know, increasingly relied on, on some of those core capabilities to, to support our [00:17:00] needs. I would say that today. you know, so flake is definitely integrated into an integral part of our, technology ecosystem and, we're using it to frankly, support a theory wide variety of, Of activities, you know, and you know, which are ranging from, reporting, advanced analytics and, you know, we're even using it in some applications.
So, overall I think that, yeah, stone-fleck has, has grown quite a bit in a, in a portfolio, because of the value it has provided to us.
Steve Hamm: [00:17:31] Yeah. Yeah. Hey, go back to the beginning though, for a second here, can you describe what that first use case was?
Didier Le Tien: [00:17:39] Yeah. I mean, so one of the things, that we, we had, so we were, you know, when we started the journey four years ago, we were, you know, we had a very traditional, you know, technologies get stack when we, when we think about, reporting. Right. And so, we were running into, and, situations where we would try to do.
to do a [00:18:00] report, but the report, the user experience was not that great because, you know, we, we struggled to be, to kind of gather or gathered the data in a timely fashion. and so that's what led us to really take a look at snowflake. We, the Woodstock, they came to us and, and kind of advertise their performance, who were, we were.
You know, puzzled, but intrigued. And that's what led to, to begin to start this relationship.
Steve Hamm: [00:18:27] So initially it was really a data integration issue.
Didier Le Tien: [00:18:31] It was actually a, yeah, it was a, I would say a reporting issue. It was, it was mostly, you know, kind of finding a way to better serve our customers or end users in that case, to provide them with the best reporting experience.
Steve Hamm: [00:18:46] Could you describe it a little bit more? I mean, I think in generalities I'm getting the idea, but I, sometimes we, we really want to get down to the details of something to say, well, what was the problem? And how did this solve it?
[00:19:00] Didier Le Tien: [00:19:01] Yeah, absolutely. I mean, in that specific case, it was a problem was that we were in the boat to deliver a report in a timely fashion because the quantity of data was so difficult to manage, using to what I would call the traditional platform. And, we brought in snowflake to, to address that issue.
Steve Hamm: [00:19:19] Yeah. Now you said since then, you've, it's expanded, you know, All sorts of places within the company and different applications you have, could you perhaps describe one of the more up to date, one of the, one of your latest innovations using snowflake?
in terms of the way snowflake is being used within the company, as it goes along, that's not proprietary. That's not sensitive in that way.
Didier Le Tien: [00:19:47] you know, there's a technology aspect, but there's also, I think, a process aspect. And I think that the reason why, you know, snowflake is working well for us is that it's a, it fits very well into, [00:20:00] into the process.
We have established too. To accelerate our ability to deliver. and so, you know, by, you know, and is it the change process, is enabling, in number of users too, to use the technology in different fashions, right? I mean, that can range from, you know, You know, direct access to the data down to the ability to report or even ability to, you know, pull data, in a, in a timely fashion, you know, usually large quantity of data in time, timely fashion in timely fashion to run some analysis.
Right. So it's, it's definitely, what a snowflake it does for us.
Steve Hamm: [00:20:42] So what new capabilities to snowflake cloud data platform provide for us foods? The kind of capabilities that didn't have before, or it couldn't do as well before.
Didier Le Tien: [00:20:54] I think, you know, there's actually a number of them that comes to mind. you know, and, and some of us are not you per se, [00:21:00] but, I think that to your point, what snowflake has done for us is that it has made, it has made it easier for us to, to perform some of those critical, You know, functions, I would say.
So for example, right. it's not too new, but I mean, one of the features that we're using, that we like a lot is a, is a notion of time travel, right. Which is basically the ability to go back in time to recover data and, and tables. and that has been very handy, because, you know, as we, you know, kind of.
provide a way for users to get closer to the data. Well, things happen, right? And so being able to recover is that the infrastructure very quickly, it's actually very key and, and sets absolutely been a time saver for, for us. but the other, you know, things that we really like in some of the new features are things like the multi cluster warehouse, right.
And the fact that they are providing materialized views. so those are actually. Features that actually [00:22:00] make, help our customers, you know, being more productive, right. And kind of access the data in a, in a faster fashion. And we love the flexibility and the scalability offered by, you know, things like to know that cluster.
So really being able to have that flexibility I think is, is really what but snowflake it does the best for us.
Steve Hamm: [00:22:20] Yeah. Now, when you're talking about customers here, you're talking in this case about your internal customers about, about the data analysts and, and database administrators and people like that, correct?
Didier Le Tien: [00:22:32] That is correct. Yes. you know, that will be our end users, probably a better term that customers, for
Steve Hamm: [00:22:36] , before this conversation started, when you think, when you think back on what were the big issues in your professional life over the last couple of weeks, is there something that really.
Is of great concern and interest to you that the data and data analytics can address or help solve.
[00:23:00] Didier Le Tien: [00:23:00] Yeah, I think that, I think that we're seeing, is that also on the, on a, on a daily basis in the news? I think that, you know, who's, with this situation, there's a lot of unknown, right. because of weather. You know, we understand, we know what COVID-19 is all about. and you know, as we try to validate whether or not some of the things we're doing, are, you know, are effective to have either, people being more healthy or, you know, in our case, our customers and, and then for it to be safer and we're successful.
I think, I think data is, is absolutely going to play if you're a critical role in making sure that, we, We, we, we take a, you know, more pragmatic approach, understandings of facts, to text her rights, no decisions to make the right decision in the future. Right. And I think that a U S foods is no different from what we're, you know, looking at what we're experiencing with all the companies are experiencing in the sense that, you know, definitely looking at the.
Maybe we're different looking at the data sometimes in the same way, but more [00:24:00] importantly, we're also looking at ways Maybe a data under different angles to really understand how we can do a better job. so, So that's, that's what data is going to do for us.
Steve Hamm: [00:24:10] Yeah. Yeah. It's interesting that you mentioned the fact that so much is unknown these days. And, you know, a lot of data analytics that has to do with machine learning and modeling is based on a lot of learning of, of what happened in the past. And suddenly you have a break like this and the world has changed.
And a lot of those old models really don't work anymore. So do you have to kind of crank up new machine learning and stuff like that really quickly to make sense of the world and to know how to respond to it? Is it kind of in some ways, even more critical than before.
Didier Le Tien: [00:24:46] Oh, no, absolutely. I think that the issue stated very rightly so. I think that, many of the models at the effort with the has been using in the past, are, you know, are definitely broken. Right. And so, you know, definitely trying to understand [00:25:00] in the, how to what criteria is, are now getting an influencing, the various model you're using.
it's definitely one of the kitchens we have, in the moving forward.
Steve Hamm: [00:25:09] Is there anything da that you've thought of that you'd like to, you know, any new areas you'd like to kind of explore or, or is there anything that is important to you that we didn't discuss that might be worth discussing?
Didier Le Tien: [00:25:22] Now I have to say, you know, I I'll tell you this. I mean, there's a. When it comes to data, there's a lot we can do. and, and so, You know, you know how that goes, right? That data is, is almost like a, it's a new strategy play point for many of the organization. So, I have to say, you know, many exciting things are happening, you know, when you look into news, but it's shows that it's very hard to talk at the Discuss that at the company level. Until those, some of those findings are becoming mainstream. If I may say, no, interestingly enough. I mean who's data, you tend to know no. Once things it takes the time for, it takes some for, for people to realize what has been done until [00:26:00] you see as the outcome.
But by the time it's, you know, at that time, those findings are being are made public. Unfortunately, the code concepts are, I no longer knew. So that's a little bit of the irony of data.
Steve Hamm: [00:26:13] So, if I understand you correctly, you're talking about the fact that a person like you who's down in the, in the weeds of data every day and trying out the latest technologies, you're seeing the role that it plays in making businesses respond better or perform better, but it's really hard. There's, there's a disconnect between what you see and what you do.
And. You know, maybe your customers, or maybe people in general understand about how and how important data is for, you know, society and business and the economy.
Didier Le Tien: [00:26:47] I would rather say that definitely a lot of things are happening in many companies. but often what has been done is it's feasible, you know, long after the [00:27:00] fats, because of the fact that, you know, Novel novel concept in principle are being implemented, you know, and tested and, you know, they appear once, you know, if they are successful.
Okay. And that's, that's really what is happening today in many organizations.
Steve Hamm: [00:27:17] Yeah. Yeah. It's funny. You know, a few years ago I used to, I worked for IBM for a few years and there were a few projects where I interviewed a lot of CEOs about what was going on and the focus that IBM was very much on data analytics and on cognitive computing and an AI. And, I would talk to these CEOs and they were saying, you know, we have a little bit, we, you know, we have our finger in that, but mainly we're just trying to make our SAP work and things like that.
But I have a sense that today things have really flipped that a lot of companies. That maybe we're conservative in the past really are doing a lot more adventurous things with data analytics and, [00:28:00] you know, even with machine learning and AI and stuff like that, what's your sense of that are, are a lot of companies really getting into this deeply.
Didier Le Tien: [00:28:09] You know, this is a sense. Absolutely. And I think that, yeah, I think see appetite for companies to be more iterative and agile. Right. It's not new, but I think what has changed is, is really the technology landscape. Right? See adoptions of, you know, clouds and see, you know, emergence of technologies or snowflake that have made it much easier for anyone to go and, and test and fail fast.
Right. And I think that's that's has been a key game changer for us, right. The ability to really kind of try, you know, with minimal investment. you know, you know, to, and validate hypothesis very quickly has been a game changer yet. What used to take months sometimes, right. It's now available to many, [00:29:00] through cloud capabilities.
Right. And, and so I think that's what has changed. Since, since the emergence of cloud.
Steve Hamm: [00:29:06] Yeah. Yeah. So companies can, they could experiment more. I mean, in the past they had, they spent months building a system and doing all that investment. They wouldn't even know if it was going to work properly until maybe a year later, but now you can just try something out in a few minutes and see if it works right.
Didier Le Tien: [00:29:26] Absolutely. And not only you can do that, but you can absolutely also try various technologies. Right? I mean, one of the things that is fascinating in the data landscape is the, you know, it's the fact that you have an emergence of new concept. on a regular basis, right. NCPTT PDT. We have to really try applies them and, you know, when needed, you know, pay for two other concepts, you know, because of cloud thanks to cloud.
Is what has been, you know, has been the game changer for, for many companies, including ours.
Steve Hamm: [00:29:57] Yeah. Yeah. Well, Didier. I [00:30:00] want to thank you so much for your time today, your stories and your insights about what you do with data and how you do it really has been fascinating. So thanks again for being on. Yeah.
Didier Le Tien: [00:30:14] Yeah, no worries. I mean, certainly appreciate, you know, the opportunity and, you know, please reach out if there's anything I can do. Yeah. Thank you. Thanks.