In this episode of “The CTO Show with Mehmet,” Mehmet welcomes Luis Garcia, co-founder and president of PETE. PETE, which stands for Personalized Education, Training, and Enrichment, provides AI-powered learning tools for workforce development. Luis shares his journey from being a programmer to taking on various roles in project management, product management, and general management, eventually leading to his current role at PETE. He also discusses his significant achievement of launching an online university that grew to serve 12,000 students and employed 1,000 people, generating $180 million in yearly revenue.
The conversation dives into the common challenges faced by organizations in workforce training. Luis explains how companies often lack the resources to create effective training materials and how traditional solutions, such as hiring third-party companies or relying on internal experts, can be costly and inefficient. He introduces PETE’s innovative approach of using AI to automate the creation of training materials and assessments, making the process more efficient and cost-effective.
Luis elaborates on the benefits of using AI in training, highlighting how it reduces the burden on internal experts, speeds up the creation of training materials, and improves the evaluation of learners. He provides real-world examples of how AI can enhance onboarding processes and continuous training, and discusses the potential for AI to adapt training programs to keep up with rapidly changing skill requirements.
From a business perspective, Luis outlines the immediate and long-term ROI of AI-powered training solutions. He explains how reducing the time experts spend on training and speeding up the onboarding process can deliver immediate ROI, while improved employee retention through better and more relevant training offers long-term benefits. He provides real-world examples to demonstrate these tangible benefits.
The conversation shifts to the investor perspective on AI, where Luis discusses the importance of being AI-native rather than AI-sprinkled. He shares his experience with investors, noting their informed skepticism and decision-making process when evaluating AI applications.
About Luis:
Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems.
He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources.
https://www.linkedin.com/in/luisegarcia/
01:10 Luis Garcia's Background and PETE Overview
04:08 Challenges in Workforce Learning and AI Solutions
09:21 The Role of AI in Training and Education
20:38 Investor Interest in AI and Future Trends
27:36 Luis Garcia's Motivation and Advice for Entrepreneurs
34:26 Conclusion and Final Thoughts
[00:00:00]
Mehmet: Hello and welcome back to a new episode of the CTO Show with Mehmet. Today I'm very pleased joining me, Luis Garcia, who is the founder of PEET. So the way I love to do it, [00:01:00] uh, Luis, is I keep it to my guests to introduce themselves. So tell us a little bit more about you, what you've been up to, the journey, and then we can take it from there.
Luis: Oh, certainly. Thank you, Mehmet, for having me here. My name is Luis Garcia, as I said. I'm the co founder and president of PEET. And PEET stands for Personalized Education, Training, and Enrichment. We are an AI powered learning tools for workforce learning. And what that means is that we take Uh, any corporate knowledge and, uh, and translated into courses automatically and put them into a learning management system, uh, for, for employees to take their, their courses and also to, uh, do assessment or evaluation or learning.
Luis: So, uh, this impractical terms, what it means for companies that do not have the resources to. Higher training department with instructional designers and trainers and all that [00:02:00] and on a learning platform and usually companies that are between 50 and 500 employees is when when the need of having a formalized training.
Luis: Uh, program, uh, uh, comes up. And, uh, so what we have observed is that companies at that level, when they're growing fast and, uh, tend to tap into their leaders, their experts to become the trainers of what they know. And, uh, and, uh, And they realized that creating a curriculum material is a lot, uh, more difficult than they thought.
Luis: And so we built tools for them to do that translation of their expertise into curriculum materials. And, uh, to facilitate that process. And, um, and then, uh, the courses land in our platform, uh, learning platform. And where the learners can take the courses and also then be evaluated. So. Personally, I come from the world of technology and education, and early in my [00:03:00] career, uh, 25 years ago, I started as a programmer.
Luis: I was a programmer for a few years, and, uh, and then I got into project management and product management, and eventually into general management, and, uh, got into education a little bit by accident in the early 2000s, and, uh, and spent a full career. End of 19 years of at Fullerton University and, uh, starting new, uh, initiatives for the university.
Luis: One of them being the online version of the university, uh, which I founded and grew, uh, to over a thousand employees, uh, 12, 000, uh, students, degree seeking students. And, uh, which in the education world, that could mean, uh, this particular operation was 180 million top line and, um, uh, yearly revenue. And, uh, uh, so I have taken my expertise in technology, brought it into education, have a lot of business expertise also developed over the years.
Luis: And now I'm with Aztec staff.
Mehmet: That's [00:04:00] fantastic and great. Uh, I would say very rich experience and background, uh, uh, Luis. Now, like a couple of things, of course, we're going to discuss today. But the first thing I want to, you know, Let you elaborate on you. You just touched base on it, of course, very quickly.
Mehmet: But if we can like deep dive a little bit, so at beat you focus on using AI to optimize workforce learning, right? So first like let's elaborate. What are like the challenges today that organizations are facing and how You would leverage technology like AI to enhance these training programs. Um, and you know, like what are like the direct benefits that organization can see when, when they adapt your solution.
Luis: All right. So I'll, I'll tell you a story. This happened to me a few times as I grow organizations into the hundreds. So when you start an [00:05:00] organization from scratch, you know, you're learning as you go and that you hire more people. And usually the transfer of knowledge becomes very organically. So The next person, the first person takes the next person and so on and so forth.
Luis: And as the organization grows and jobs become more specialized, then it becomes more difficult to do this transfer of knowledge that is organic. And so then you have to start saying, well, I need a course. I need at least onboard people, teach them about who we are, what industry is, what the job is, prepare them to be in the job.
Luis: And, um, so what you do at first is say, well, you know, uh, my lead salesperson, uh, he's the first person selling. Let me take him out of his job, create a course on how to onboard the new salespeople. And, um, and, uh, and then I solved that problem because I need to scale sales or, uh, same with engineering and, uh, Or for all employees, then I need all of them to really understand my company, understand my, my history and so on.
Luis: So [00:06:00] one of the solutions is, uh, for this problem is that, well, I'm going to go ahead and, uh, uh, hire a company to create these courses for me in that, so that I don't have to take any of my people away. And, uh, then you go into that and then realize, oh, well, I mean, that takes out still a lot of work. And it is expensive.
Luis: A short digital course will cost you. Between 25, you know, 15, 000 to 25, 000. I've been, I have been as high as 50, 000 for a digital course. And you do it once and that's it. I mean, you can't, that doesn't. Uh, usually you have to update courses every so often and, um, uh, and it doesn't really, uh, solve the problem of people getting to the course because you still need a platform to put them.
Luis: And that also solved the problem to evaluate the learning. So knowing if people actually learn in the, so that's, that's one path. Another path is the path I've described before, which is, I'm just going to take my functional leaders, my experts, and I'm just going to ask them to do their own courses for [00:07:00] their own people.
Luis: Okay. And, um, they get out of their job, they realize that is in a couple of weeks that this was a lot harder than they thought. And, um, and, uh, and then they do, uh, you know, the best they can with what they know. Um, because translating, translating expertise into training materials is, is not easy. And it follows a, a particular process called instructional design.
Luis: And, uh, people are not trained on being instructional designers. They cannot really do it on their own. So the consequences of this, uh, the second approach is that you take people away from the job and they're not going to do a good job at creating the materials and the materials are not really distributed in a good way.
Luis: They put them in PowerPoint or slides and put them in different places on the network, and then you don't know who took them, who didn't take them. And whether or not they learn, and those materials are usually not updated because the first time you go through it, then you don't want the second time to take your experts away from the job for so long.
Luis: Uh, and, uh, and they just continue, [00:08:00] continue to stumble in the job. The third way is that we're gonna go ahead and go to a third party, and we're gonna license, uh, a content because it's only $50 a month for Udemy or, or Coursera, whatever there is. But you have great courses, but then when you put it in front of your, your people, your people are like, well, yeah, it's good content, but it's not really applied to a particular job.
Luis: It doesn't really apply for, for this particular company. For this particular industry, and, um, and that that also falls short. So our solution takes, uh, kind of the second approach, but empowering the person to say, okay, where's your knowledge? Uh, here's your knowledge. You have this manual that you, or this process that you already wrote, or this PowerPoint you already created, or you'll, uh, usually, uh, onboard people in this, uh, in this Zoom call, and then we can take the, uh, We can, we can take the transcript and we'll take that and put it through our platform which is an instructional designer, a trained AI, and then create the course automatically [00:09:00] for you.
Luis: And, uh, and put them in our platform for people to take it. So it's all centralized. And then we have various, uh, sophisticated tools for evaluation of learning where we'll call assessment. So now you also learn who they are. So we automated the process of creating the content and optimize the process of taking it and evaluating the learning.
Mehmet: You know, like, um, you mentioned a couple of things which attracted, uh, you know, my attention. So mainly on the point about. You know, I think you see this a lot, Luis, like, uh, the required skills are changing very, very fast. So, and what is required today might not be valid maybe after, I would not say, uh, one year, maybe even less nowadays with the, with the advancement of AI.
Mehmet: How are you seeing, you know, like this is regardless of the AI and the tech part, but just out of curiosity, um, are you seeing [00:10:00] like, and maybe technology can be used by the way this, are you seeing companies coming and saying, Hey, like we want something that also can help us predict what should we be training the workforce after all?
Mehmet: Because, um, we don't want to waste their time and waste our money as an organization, giving them something which, you know, would be obsolete after a while. Are you seeing this trend?
Luis: We have not seen it yet. And although people have asked that question in regards to every learner in being able to to not only assess what they know and where the learning gaps are so that we can create course where to, uh, they can create for themselves course where to cover those gaps, but also then predict what are the next skills that they should have.
Luis: And, um, as you said, the technology changes a lot. The landscape in all positions changed a lot. And, um, so I don't know if today the right answer to that question is to predict what people are going to learn. I think the right answer is to say, well, how can I make the process so efficient that when the [00:11:00] landscape change, then I could recreate the course?
Luis: Uh, very quickly so they can catch up with with a new requirement.
Mehmet: I get you. Yeah, yeah, definitely. Like this is something I think still we need some time to to to see how it would go with them. Um, so if I want also like to touch base on like there are, there are a lot of use cases like you mentioned some of them, right?
Mehmet: So for AI and generative AI specifically. So if I want to find a way to narrow that little bit, uh, you know, try to show the organization say way to, to adapt it more because the thing, especially in education, like, because you remember, uh, Luis, maybe last year, Uh, and this happened in education. I mean, education as universities and, you know, like schools, there was this debate [00:12:00] about, uh, generative AI and, you know, should it, should we allow the students to use it?
Mehmet: Should we not allow the students to use it? So if today we want, especially because we're talking education to give the comfort for. Trainers, academic, academic people, like guys, calm down. Actually, there are some use cases you can yourself benefit from. Like, is there anything specific we can touch base on?
Luis: Oh, absolutely. So your, your questions are very good. When I, and I, uh, uh, often talk to educators about it. And, uh, uh, every new technology in education has been always. A dilemma of whether to adopt it. The reality is that the technologies are always adopted. Regardless, so, uh, when I tell uh, when I tell educators, especially traditional educators, is like, listen, I have, I am old enough to remember when the calculator wasn't allowed in the classroom.
Luis: And, um, and they lost that [00:13:00] battle. And, uh, and then I also old enough to remember when the laptop wasn't allowed in the classroom and that battle was also lost. And, uh, so this is just another tool that is coming to the classroom. I'll bet it's a, it's a very. Uh, you know, powerful tool and inflection point technology.
Luis: And, um, but I don't think the answer is to, is to leave it there. The answer is to embrace it. And, uh, obviously with the limitations that, uh, we still don't fully understand the, the, uh, the range of, of, of, of, of things that can happen in the utilization of the technology. But certainly we can have use cases in, uh, in which, uh, both the instructor and the learner.
Luis: Uh, can benefit in, um, uh, when, when the calculator was, uh, uh, was introduced, the, the evaluation change, it didn't now had as much manual calculation and math problems when you had, and then the problems became deeper, more, uh, more about a comprehension of the concepts and less of a [00:14:00] calculation. I believe that the same thing will happen here is that the curriculum has to adapt.
Luis: Uh, to the areas in which and, um, you can take the learner to other places you couldn't before and, uh, same with when the Internet came in on the, on the, on the computer, made it into the classroom immediately made the instructor no longer the owner of the information. And, um, uh, body turn it into the curator of the information.
Luis: And, um, so we've been to these transitions before. And, uh, I just think that we have to find the ways in which enriches the education in, uh, instead of trying to stop it because they will lose this battle every time they don't care as well.
Mehmet: Yeah, definitely. Like this is kind of a destiny for them. Um, now if I want to, cause I'm sure you do these conversations a lot, Luis.
Mehmet: So what you do is part, [00:15:00] you know, focusing on the training for the organizations. Right? So there must be a bigger picture that comes in, um, when, you know, showing the benefits and let's say, talk a little bit, the language of the business, ROI and TCO and these kinds, of course, like it differs from, from, You know, a technology to another, but like if today, let's say you're talking to a business owner, uh, rather than just the practitioners, I would say, if we want to show them the ROI of, of what you're doing, what could be the message or what could be the point that you usually would, you'll be focusing on?
Luis: So usually we, we, we see it in two places. Uh, First, not taking your expert from the field for, uh, uh, to be able to be a trader or not, instead of being 30 percent of the time being 5 percent of the time. So that's a meal ROI. When you get your expert, uh, back into what they do [00:16:00] best. The second part of the ROI is getting, uh, Uh, folks ready for their job quicker.
Luis: So when you don't have an effective training plan, and especially in positions that require, you know, specialized knowledge, if it's taking you three months for that person to be effective at their job, and you can cut that back to one month or one week or one day. And, uh, that's where the other ROI, you, you, you, you will see it, uh, very quickly, and this is very tangible.
Luis: The third place when there's a good ROI is in the retention of the employee. And, uh, and, uh, if the employee as a result of having better training, more, as, as, more, um, relevant training to themselves. And I feel that the company is investing in them, they will tend to stay longer as well. And so I think that ROI is very tangible in, uh, in at least three places.
Mehmet: Yeah. I think at some stage, uh, attrition was one of the main, [00:17:00] uh, pain points for, for a lot of companies, especially in the startup phase, uh, phase specifically, because people tend to change a lot, uh, jobs and, you know, they try to, the number one reason usually I read, like, Couple of years back, it's because the training and you know, we didn't get the things in the right way and so on.
Mehmet: Um, if I want to think about, um, Eloise, like in addition to AI, right? So what you see like other technologies that can be coupled with the power of what we are seeing now in generative AI to again, like come out with more beneficial outcomes, or maybe we can think about merging digital AI with something to shorten even more the time for these trainings to be delivered.
Mehmet: I don't know. Like are you seeing any current trends in that aspect that are [00:18:00] exciting you? I would say.
Luis: Yeah, absolutely. And um, I'm, I'm, you know, I, I spent quite a bit of time in the gaming industry, uh, when I was in the university, uh, Folsom University, because we were a pioneer university in educating in games.
Luis: And, um, so the whole area of, of, of gamification is a very interesting for education. We have really oversimplify gamification education, uh, thinking that, well, gamification is like giving somebody a badge and, um, or, or just have throwing some confetti. Now when you finish a task and those are nice and, uh, and, but no, but really.
Luis: Uh, using, uh, uh, game design principles, uh, uh, for, for motivation and, and, and, um, um, um, for training as well. And, uh, and it depends on the, what you're training for. Uh, but in, in the state by step type of training, gamification works really, really well. And, um, um, so that's one, one side of, uh, it's not really a technology, but a series of practices.
Luis: Um, the [00:19:00] technology side, I think that, um, Uh, reality technologies are very interesting as well, uh, for jobs that are, uh, uh, sophisticated and very hands on. And, um, so AR or VR or XR or whatever you want to call it, and, uh, uh, and the different ones that apply to, uh, different tasks, I think can be, uh, paired with, with, uh, artificial intelligence can be incredibly powerful.
Luis: as well for, uh, for training. And if you combine that with gamification even more. And, um, I think that those three for a specific jobs, I wouldn't use that for every single, every single job, because not every single job requires you to immerse yourself or to see something on space, but there are jobs that they do.
Luis: And, uh, and I think those are are very powerful technologies to, to combine with the ability to, to, uh, think and predict that AI gives you.
Mehmet: Yeah, definitely. Definitely, Luis. Um, you know, I'm, I'm so excited about, you know, the power that, [00:20:00] um, AI can deliver and to your point, like, uh, and that, by the way, not only for education specifically, like we had a lot of discussions here on the show in education, gamification is one of the points and VR, like AR is, is one like very interesting combination.
Mehmet: It came like also very interesting in in healthcare also as well where you can compare both Uh to to to that also as well So really really exciting times I would say now I know like you are like You were like lucky to find also supporters. Um, and you know, you, you, you raise the seed fund if I'm not mistaken.
Mehmet: So, and you know, I'm asking this question because Again, people, sometimes they just put the word AI for the sake of AI, but of course, with what you are doing is a completely valid case. [00:21:00] But are you seeing like also an appetite in general from investors for, for, you know, use of AI in, in like specific niche more, or like they are looking for just the word AI and then, you know, Things are done.
Mehmet: And you know why I'm asking this? Yeah, I know.
Luis: I know what you're asking.
Mehmet: You get, you get
Luis: Yeah, especially in our case, we have not seen the unsophisticated, uh, uh, uh, investors that would just throw money because they see the word AI in it. I'm sure those are out there in, um, and, uh, but in our experience when in raising money, Investors have been very aware of the difference, uh, between a, a AI native and, um, and AI sprinkled, if you will.
Luis: Um, the other part is that, uh, also can differentiate an application of a frontier model and, uh, Like, [00:22:00] like we're doing, although we use several ones and, uh, uh, and a large action model like the, what we, we have built, uh, versus somebody claiming that they're going to create, uh, a frontier and edge, uh, edge model on their own.
Luis: And, um, Uh, they are applications that leverage existing frontier models that may take you nowhere. And some, uh, uh, someone's that, that actually very good at apply. We, we like where we are, uh, because, uh, we feel that we're solving a real problem for real organizations. And AI is the right tool for it. And, um, and it was not possible two years ago.
Luis: And, uh, some of the problems that in learning that we are, we'll get to solve today. We're not, we're not really possible before generative AI was available. And, um, and that's what's so exciting for it. But to answer your question, no, I have not seen those investors that are excited just because I say AI on the contrary.
Luis: They actually have become very skeptical about whether or not you're using the right [00:23:00] tool for the right problem.
Mehmet: Yeah, absolutely. Now, obviously just also, you know, you're touching on some points that are triggering additional questions in my mind, which is true by the way. So do you think what, uh, open AI they have done by releasing, you know, the chat GPT awakened the giant that was.
Mehmet: Sleeping for a long time, although, you know, I'm, you know, and people knows, I think the majority of people, they know that generative AI was existing and, you know, chat GPT was not new, like remember it's version three. But from you have like long experience in, in, in the field, uh, Luis yourself, what do you think that what triggered all this to happen?
Mehmet: And, you know, like you are building something for education, people are Fantastic things across the board. What was the trigger for this? Is it chat GPT alone? Or like, do you think there are like some other factors, [00:24:00] uh, playing it all here?
Luis: Chat GPT was certainly an inflection point in that, but AI was already, I mean, AI has been around for 50 years and, um, and, um, uh, that has been solved, been solving different kinds of problems over the years, but it has been.
Luis: Uh, uh, Accu accumulating, um, uh, u use cases and being, I'm being used for a very long time now, and I'll give you an example. When I was in college in the nineties and engaging myself here and, uh, and growing up in Latin America, I remember that I was, I helped the, the university. I went to organized artificial intelligence conference.
Luis: And uh, and it was very small and there were professors that came from, from, from several countries and, and we had them in three days in a small auditorium. Probably 50 people in, uh, total, uh, talking about artificial intelligence back then, and this is in the 90s. Um, I went to a AWS [00:25:00] conference, uh, pre pandemic, I think in early 2020, 21.
Luis: No, actually pre pandemic. So 18, 19 and six years ago. And, uh, and I remember I wanted to learn more about cloud technologies. I would go into AWS. I couldn't believe how big it was. And then I go to an AI, uh, track and the AI track was in a theater with thousands of people. And, uh, and I, my mind went back to like, Oh my God, in 30 years.
Luis: And, uh, this is, this is have been. Grown immensely. And, uh, and there was two kinds of folks. There were the folks that were creating the models and the folks that were using the models and apply them to, uh, to use cases. So I think AI has been in our life for a very long time and, um, very transparent to, to the world.
Luis: I mean, And now when you speak to, to, uh, to Siri, there's AI there. When you're watching Netflix, they say AI there. When you use your camera, there's AI. So AI has been around for a very long time, but it [00:26:00] wasn't really, it was very transparent to the, uh, to the end user. Uh, what happened with, uh, chat GPT is like, it puts it in the hand of the consumer in a very powerful way.
Luis: And that definitely trigger a inflection point that. It seems like AI is new and, uh, even though, even though it's not, uh, but I think the difference is that it put it, it put it in the hands of the, of the, of the consumer in a very applied way, in a way that was not transparent, that is very magical to them in, uh, in very tangible ways.
Luis: And, uh, so I think that that was the difference.
Mehmet: Absolutely. Like it's, uh, you know, like it's got, it, it, it got like a very fast because also, and this is very interesting, you know, like they didn't have to run one single ad, I believe to, to, to announce it. So, I mean, about chat GPT here and the people immediately figured out, Oh, like this is something very useful.
Mehmet: And because again, it is something very useful [00:27:00] indeed. Otherwise, you know, people. And it's not like a, uh, social, uh, media site or app that people get excited about it for 10 days and then they turn it off or they just go back to their platforms. So this is because people start, Oh, wow. And I remember even myself, like I was, I was a little bit like, okay.
Mehmet: I knew that there were like some rappers running over the API of chat GPT, but I was not all honestly fascinated by them much. Until I see this one, I said, wow, like, man, like, this is really a reflection point in, uh, in history, as you said. Now, I still have a couple of questions for you before, before, yeah, yeah, before, just, you know, you, you have a very rich and very valid career, like, because you were like across multiple, uh, companies and, you know, even like some different, Domains as well.
Mehmet: Um, I'm really excited and, you know, [00:28:00] all the time to learn from, from people like yourself, Luis. Um, what is the motivation that keep pushing you to, to, you know, get this next things done and, you know, especially in technology and education, which is something a little bit hard. So is there like, is it something like personal goals?
Mehmet: Is it like, like more a project oriented way you do it? To keep yourself excited.
Luis: Yeah. Well, thank you. Thank you for that question. Thank you for your kind words. And, um, listen, I think I'm, uh, humans were very curious and, um, and I think curiosity is, is really the, the, the cradle of a lot of, uh, innovation.
Luis: And, uh, in my particular case, I also like, uh, I'm very driven to solutions and, um, and, uh, so when something excites me, I curiosity. If I, if I don't find an application for it, like you mentioned, and there's a lot of technology for technology sake. And, um, and, uh, and [00:29:00] I, uh, I don't appreciate, uh, solutions looking for problems and that, which is a lot of things that we do in technology sometimes.
Luis: And, uh, uh, but I really do like to solve problems and, um, uh, uh, small problems, big problems. It doesn't matter. And I like, and I like the process of solving that problem. And, uh, Probably even more than the solution in, uh, uh, because in the, in the process is when you learn the most and you solve all the problems that you didn't know even existed in, um, in, uh, and at the end, you may end up in a different place that you, that you started, but the process, it really gets you there.
Luis: So. For me, the idea of solving problems really is what gets me out of bed every single day, um, and, uh, to, to see what's, what's possible out there. It's a very exciting time to be living in technology. As a person who's been in technology for over 30 years, I think I've seen a handful of times in which you see a technology that becomes an inflection point.
Luis: And, uh, like the personal computer and, uh, um, the, the smartphone, [00:30:00] um, uh, social media will add it in there as well. Cloud technology is kind of in the background, uh, as well. I think that this, this become, uh, a very, uh, a very important inflection point. Also, because the last, the last 20 years, uh, there have been, uh, uh, an incredible way to combine technologies that didn't exist at the beginning of the of the modern technology.
Luis: At the beginning of modern technology was very close architecture and very self integrated solutions for everything in software and hardware. What we have observed in the last 20 years is that you are able to combine and you get a multiply effect on the solution. And, uh, an ability to solve problems that were before weren't even, even possible to address.
Luis: And, uh, so it's very, very exciting. You know, when you think about those things, you, it's, it's, it's, it's hard not to be excited every day about the possibility.
Mehmet: Absolutely, you know, and, uh, I think, you know, I, [00:31:00] maybe, you know, Luis, like some people, they, uh, we, when, why, why people, why this is happening? It's happening, it's faster than we want things to happen, blah, blah, blah.
Mehmet: But, you know, for me, and, you know, I believe we are, like, maybe because if you said, if you said, like, you were in college during the 90s, I saw, I think we are from the same generation, more or less. So it's the same thing for me, you know, and, and, um, technology excites me. All of us, especially when we see the benefit out of it.
Mehmet: So to your point, absolutely, you know, like this is the time to, to, to go and find, go do the next thing. And this is, you know, here, I will connect this to my last question to you today, because as I was telling you, before we start recording the episode, majority of the audience. They are people thinking to become entrepreneurs themselves, or they are founders, first time founders.
Mehmet: And with all the experience that you have, Lewis, if you want to leave us like with final advice, like I call it word of wisdom. Some people, they don't [00:32:00] like this, but for me, it's a word of wisdom. What you would tell us.
Luis: I think people have to very aware, be very aware of their time. And, um, time is the one thing that is, is, is, is, uh, we all have the same, you know, you have 24 hours in the day.
Luis: I have 24 hours in the day. Bill Gate has 24 hours in his day. And, uh, I'm not naive to say that money saves you time and uh, and allows you to have more time, but it is, is is still the same 24 hours. So, I'm, I, my, uh, uh. If I were to tell somebody, oh, I always want them to be very aware of the time. And where are you spending your time?
Luis: Because it's not stopping and you only have 24 hours in the day. So uh I I registered every hour of activities that I do every single day And so i'm aware where i'm putting my time and if I put in my time in the wrong place It's not gonna get me to my goals. Then I have to make adjustments [00:33:00] That's one thing.
Luis: Uh, the other part. And, uh, uh, so I'll give you three things. Uh, the second, the second one is that, uh, rely on, on, and, uh, on the wisdoms of those that love you unconditionally. And, uh, a lot of people ask me about mentors and things like that. And I, certainly there are people that I look up to, but when it comes to the decisions of what I do with my career or how I spend my time.
Luis: I really rely on the people that love me the most. Unconditionally, my wife, my siblings, my parents, and, uh, and that have worked out for me very well. Uh, the third is that if you're in the position to hire your privilege, uh, hiring is a privilege. So you should always take it very seriously because in business, there's a lot you don't control.
Luis: It's. By the way, it's not enough to have a good idea and to work really hard. I know plenty of people that do those two things and don't reach their goals. Luck plays a very big role in everything that you do, but you can, [00:34:00] you can minimize risk, uh, by hiring is something that is a hundred percent on you and controlling who comes into, into your organization.
Luis: And, um, it is, it's on you. So take it very seriously. Acknowledge it as a privilege and therefore give it the time that it needs. And pay close attention to who you bring, uh, with you into your dream or your organization Uh, because that's the one thing that you actually can connect,
Mehmet: you know, fantastic advices I would say yeah, especially on the hiring and i'm happy you mentioned this because it's rarely Uh mentioned, of course, we all of us we know about it, but it's really mentioned So thank you for reminding us louise about that Um where people can get connected and know more about pete
Luis: We actually have the best domain in the world.
Luis: Pete. com.
Mehmet: Wow. That's
Luis: nice. That's pete. com. You can go there and read about us. Schedule a demo of our platform. And, [00:35:00] um, We're happy to serve you and see if we can help you. I help you reach your goals with our learning platform.
Mehmet: Fantastic. Um, again, Luis, like really, I enjoyed the conversation with you today.
Mehmet: It's very rich. Um, you know, for people who doesn't know, I work, uh, in the education and indirectly, indirectly. For some time, I was working in university in the technology department. So this is something close to, to my heart. Exactly. So thank you very much again. And this is how I end my episodes. This is for the audience.
Mehmet: If you just discovered this podcast by luck, if you'd like what you saw and heard today, please give us a thumb up and subscribe to the podcast wherever on all podcasting platforms and on YouTube also as well. And if you are one of the. Loyal followers who keep coming and keep sending me their remarks that comments and their suggestions Please keep doing so also as well I read all of them and really I appreciate [00:36:00] the time that you put to give me this feedback And as I say, thank you again.
Mehmet: We will meet very soon. Thank you. Bye. Bye