Mauricio Torres Echenagucía

Un placer estar en este espacio. Muchas gracias.

Un placer estar en este espacio. Muchas gracias.

Gracias, Aurelio.

Gracias, Aurelio.

Well, there is something, thanks for the question, Aura, there is something that has always characterized us, which is that long-term vision. Always think about what will happen in the next 10, 15, 20 years. Only a company that thinks that way is maintained for 98 years, a country like Mexico and 114 in the world.

Well, there is something, thanks for the question, Aura, there is something that has always characterized us, which is that long-term vision. Always think about what will happen in the next 10, 15, 20 years. Only a company that thinks that way is maintained for 98 years, a country like Mexico and 114 in the world.

We are constantly pivoting to see what customers really need and how we can generate an impact. But what we are doing today in the topic of innovation is always trying to get ahead of that. We ask our clients what is the most important thing for them, what is it that really does not let them sleep. There are clients who ask us many times, hey, what is done within IBM? What are you thinking about?

We are constantly pivoting to see what customers really need and how we can generate an impact. But what we are doing today in the topic of innovation is always trying to get ahead of that. We ask our clients what is the most important thing for them, what is it that really does not let them sleep. There are clients who ask us many times, hey, what is done within IBM? What are you thinking about?

And if you see the profile of an IBMer today, as we all call ourselves, Son personas bien especiales. Somos como nerds de corazón. O sea, nos gustan los problemas difíciles, complejos. Nos gusta gente que nos dice, mira, no sé cómo voy a resolver este problema. Y ponemos justamente a las mentes más brillantes del mundo a trabajar en resolver esos problemas.

And if you see the profile of an IBMer today, as we all call ourselves, Son personas bien especiales. Somos como nerds de corazón. O sea, nos gustan los problemas difíciles, complejos. Nos gusta gente que nos dice, mira, no sé cómo voy a resolver este problema. Y ponemos justamente a las mentes más brillantes del mundo a trabajar en resolver esos problemas.

It's an excellent question, because if it makes you, it challenges you to think, okay, if I think about the next 15, how do I make sure that the next three or four are relevant? So the truth is that you are always constantly making adjustments to those innovation processes. For example, you mentioned at the beginning the issue of quantum.

It's an excellent question, because if it makes you, it challenges you to think, okay, if I think about the next 15, how do I make sure that the next three or four are relevant? So the truth is that you are always constantly making adjustments to those innovation processes. For example, you mentioned at the beginning the issue of quantum.

The quantum issue is a whole process that IBM has been working on for years. And since it started, we knew that they were going to be dozens of years in order for something to make sense. However, you have to start placing small steps and small successes that allow customers to touch it.

The quantum issue is a whole process that IBM has been working on for years. And since it started, we knew that they were going to be dozens of years in order for something to make sense. However, you have to start placing small steps and small successes that allow customers to touch it.

So all the time we are trying to make those things, even thought in the long term, have an opportunity as a client or as a user to be able to touch them, to be able to take advantage of them.

So all the time we are trying to make those things, even thought in the long term, have an opportunity as a client or as a user to be able to touch them, to be able to take advantage of them.

IBM is a company that has a wide range of products and services. Today, our focus has to do with artificial intelligence, which is the world of data, the world of process automation. Everything that is to apply that artificial intelligence, that technology, so that companies and customers are increasingly efficient in what they do.

IBM is a company that has a wide range of products and services. Today, our focus has to do with artificial intelligence, which is the world of data, the world of process automation. Everything that is to apply that artificial intelligence, that technology, so that companies and customers are increasingly efficient in what they do.

We have service units that are around those products, ensuring that de que se implementan de la forma adecuada y que los clientes pueden sacar provecho de eso. Y tenemos toda un área de infraestructura, que es un área que viene de muchos años atrás y que ustedes deben haber escuchado muchas veces, que es todo lo que son servidores de IBM.

We have service units that are around those products, ensuring that de que se implementan de la forma adecuada y que los clientes pueden sacar provecho de eso. Y tenemos toda un área de infraestructura, que es un área que viene de muchos años atrás y que ustedes deben haber escuchado muchas veces, que es todo lo que son servidores de IBM.

Ese mundo, por ejemplo, de mainframes, donde todos los bancos del mundo, y particularmente en México, los primeros 10 bancos Without a doubt, it runs in the IBM mainframe world, our storage products and other lines of servers a little smaller. So the range is very wide and goes from everything that is software, going through cloud, to infrastructure products.

Ese mundo, por ejemplo, de mainframes, donde todos los bancos del mundo, y particularmente en México, los primeros 10 bancos Without a doubt, it runs in the IBM mainframe world, our storage products and other lines of servers a little smaller. So the range is very wide and goes from everything that is software, going through cloud, to infrastructure products.

Well, I'll start with the first one, the hybrid cloud issue. When we started talking about this a few years ago, it sounded weird. It was like a hybrid cloud. It's either a cloud or it's not a cloud. How can it be a hybrid? And the truth is that all this had a story. You have clients in which a very strong investment had already been made in everything that was infrastructure.

Well, I'll start with the first one, the hybrid cloud issue. When we started talking about this a few years ago, it sounded weird. It was like a hybrid cloud. It's either a cloud or it's not a cloud. How can it be a hybrid? And the truth is that all this had a story. You have clients in which a very strong investment had already been made in everything that was infrastructure.

All their core systems, all their important systems that allow them to operate, worked on products that they could touch and that were in their own data centers. how it was that you were going to go totally to the cloud, you were going to go to that extreme.

All their core systems, all their important systems that allow them to operate, worked on products that they could touch and that were in their own data centers. how it was that you were going to go totally to the cloud, you were going to go to that extreme.

We started working with those clients to tell them that the intermediate path was possible, that you could move towards the cloud and that you could perfectly use all the investments you had made and keep yourself in a hybrid world that basically has your private clouds, public clouds and also what you have as infrastructure already purchased in your company.

We started working with those clients to tell them that the intermediate path was possible, that you could move towards the cloud and that you could perfectly use all the investments you had made and keep yourself in a hybrid world that basically has your private clouds, public clouds and also what you have as infrastructure already purchased in your company.

That process in Mexico is a process that is quite advanced. I would tell you that all corporate clients today, medium-sized companies upwards, have seven or eight clouds that they use at the same time, every day. Users do not even know that they are using it. It can be very simple applications such as productivity tools or it can be the use, for example, of the banking core.

That process in Mexico is a process that is quite advanced. I would tell you that all corporate clients today, medium-sized companies upwards, have seven or eight clouds that they use at the same time, every day. Users do not even know that they are using it. It can be very simple applications such as productivity tools or it can be the use, for example, of the banking core.

And you don't even know exactly how you can see all of that in a single interface. But what's behind it is extremely complex. How to manage that complexity? We dedicate ourselves to that. And for that, a few years ago, we bought Red Hat, a very respected company. It was very big at that time in the world. I bought IBM for $36 billion.

And you don't even know exactly how you can see all of that in a single interface. But what's behind it is extremely complex. How to manage that complexity? We dedicate ourselves to that. And for that, a few years ago, we bought Red Hat, a very respected company. It was very big at that time in the world. I bought IBM for $36 billion.

Everyone said, but how do you make such a big investment in a company that is said to be open source? It was like, it can't be, what are you doing? But Red Hat and its OpenShift platform, today it is the base, it is the gold standard in the market for everything that has to do with Uber.

Everyone said, but how do you make such a big investment in a company that is said to be open source? It was like, it can't be, what are you doing? But Red Hat and its OpenShift platform, today it is the base, it is the gold standard in the market for everything that has to do with Uber.

So we are very proud of that and we have been a fundamental part of that development process in Mexico and other countries in the world.

So we are very proud of that and we have been a fundamental part of that development process in Mexico and other countries in the world.

Well, artificial intelligence, the first part of all this, which has been around for several years, more than a decade, I would tell you that an important percentage of Mexican medium-sized companies have already done something with artificial intelligence. Around 70% have touched something that has to do with artificial intelligence. The big question is...

Well, artificial intelligence, the first part of all this, which has been around for several years, more than a decade, I would tell you that an important percentage of Mexican medium-sized companies have already done something with artificial intelligence. Around 70% have touched something that has to do with artificial intelligence. The big question is...

¿Cuánto de la nueva ola de inteligencia artificial, la generativa, realmente has hecho algo con eso? El porcentaje ahí baja radicalmente. Ahí alrededor del 37%, según los últimos estudios que hemos visto, está haciendo algo.

¿Cuánto de la nueva ola de inteligencia artificial, la generativa, realmente has hecho algo con eso? El porcentaje ahí baja radicalmente. Ahí alrededor del 37%, según los últimos estudios que hemos visto, está haciendo algo.

Fíjate que uso la palabra algo varias veces, porque eso que estoy haciendo es simplemente en la búsqueda de algo lindo, algo medio poético que diga que estoy usando la inteligencia artificial o realmente estoy teniendo resultados con eso. Todavía los resultados requieren un poquito más de trabajo.

Fíjate que uso la palabra algo varias veces, porque eso que estoy haciendo es simplemente en la búsqueda de algo lindo, algo medio poético que diga que estoy usando la inteligencia artificial o realmente estoy teniendo resultados con eso. Todavía los resultados requieren un poquito más de trabajo.

¿Cómo es esto? Tenemos una mezcla. Nosotros tenemos algunos clientes en los cuales la relación es tan grande y de tantos años, a los cuales le proponemos lo que nos llamamos cliente cero. Le decimos, mira, ya IBM ha hecho en el mundo todas estas cosas con licencia artificial. Hemos logrado todos estos retornos. Ya lo hemos implementado y funciona. Exacto.

¿Cómo es esto? Tenemos una mezcla. Nosotros tenemos algunos clientes en los cuales la relación es tan grande y de tantos años, a los cuales le proponemos lo que nos llamamos cliente cero. Le decimos, mira, ya IBM ha hecho en el mundo todas estas cosas con licencia artificial. Hemos logrado todos estos retornos. Ya lo hemos implementado y funciona. Exacto.

We also test them depending on the industry. For example, a Telco customer here in Mexico, we tell him, we are doing this in the United States, we are doing it in Europe. So we can show them how that did work in other clients who have gone that way.

We also test them depending on the industry. For example, a Telco customer here in Mexico, we tell him, we are doing this in the United States, we are doing it in Europe. So we can show them how that did work in other clients who have gone that way.

Because it is very important, Javier, the issue of not getting into things in which you are going to vote money and you are going to realize three or four years later that it did not work. It is too expensive. Exactly. From the point of view of reputation, from the point of view of costs, you have been able to use that money in something else.

Because it is very important, Javier, the issue of not getting into things in which you are going to vote money and you are going to realize three or four years later that it did not work. It is too expensive. Exactly. From the point of view of reputation, from the point of view of costs, you have been able to use that money in something else.

So, the truth is that customers today are questioning, hey, how do I get into projects of artificial intelligence that are tested? At the same time, in your own industry, you also want to have some innovation. If you want to take a little risk, but not as much as to be able to risk your reputation or to be able to risk a lot of money.

So, the truth is that customers today are questioning, hey, how do I get into projects of artificial intelligence that are tested? At the same time, in your own industry, you also want to have some innovation. If you want to take a little risk, but not as much as to be able to risk your reputation or to be able to risk a lot of money.

Well, the origin of all this was simply to use artificial intelligence, to use everything that was machine learning, and the first concepts were expensive, it was difficult, and only a few could afford to do that.

Well, the origin of all this was simply to use artificial intelligence, to use everything that was machine learning, and the first concepts were expensive, it was difficult, and only a few could afford to do that.

What has happened now is not only because you have access to technology in the cloud, in any of the providers, including, of course, IBM, which makes it really very cheap to make use of that technology.

What has happened now is not only because you have access to technology in the cloud, in any of the providers, including, of course, IBM, which makes it really very cheap to make use of that technology.

What this whole issue of the generative artificial intelligence has again is precisely the use of models, the use of foundational models that allow you to build with a base that is relevant for your company, the whole world of information you need. And as information, today we have plenty of it, plenty outside and plenty inside the same company, how to put it into practice.

What this whole issue of the generative artificial intelligence has again is precisely the use of models, the use of foundational models that allow you to build with a base that is relevant for your company, the whole world of information you need. And as information, today we have plenty of it, plenty outside and plenty inside the same company, how to put it into practice.

That's what we did with WatsonX. What we did was create a platform that has three parts. One part that is like a laboratory in which you can put your models to work, you can test them, everything that is machine learning, you can basically play with modeling all this. That's called WatsonX AI.

That's what we did with WatsonX. What we did was create a platform that has three parts. One part that is like a laboratory in which you can put your models to work, you can test them, everything that is machine learning, you can basically play with modeling all this. That's called WatsonX AI.

Then you have a part called WatsonX.data in which you build a data lake with all the data you have in your company and that you have outside and you give access to that data in an organized way, in a structured way, so that the model you created in AI can really take all that data and manage it properly.

Then you have a part called WatsonX.data in which you build a data lake with all the data you have in your company and that you have outside and you give access to that data in an organized way, in a structured way, so that the model you created in AI can really take all that data and manage it properly.

And the last part that is very important today in this artificial intelligence world is the governance part. que es una parte que nosotros consideramos que es tan importante como las otras dos.

And the last part that is very important today in this artificial intelligence world is the governance part. que es una parte que nosotros consideramos que es tan importante como las otras dos.

Es muy fácil entrar en infringir derechos de autor, es muy fácil usar propiedad intelectual de otros, simplemente porque no sabes lo que está en el modelo, cómo se entrenó el modelo, cuál es el origen y la fuente de información que está en esos modelos.

Es muy fácil entrar en infringir derechos de autor, es muy fácil usar propiedad intelectual de otros, simplemente porque no sabes lo que está en el modelo, cómo se entrenó el modelo, cuál es el origen y la fuente de información que está en esos modelos.

Y nosotros con esa tercera pata, como la llamamos, que es el WatsonX.Governance, lo que hacemos es como realmente administrar y asegurarte que lo que estás usando cumple con todos los temas relacionados a ética, manejo de sesgo y todos los temas de propiedad intelectual.

Y nosotros con esa tercera pata, como la llamamos, que es el WatsonX.Governance, lo que hacemos es como realmente administrar y asegurarte que lo que estás usando cumple con todos los temas relacionados a ética, manejo de sesgo y todos los temas de propiedad intelectual.

Look, there is a difference by industry, but I would tell you that today, within what has to do with technology, at least 15 or 20% of its investment has to be related to cybersecurity issues. Cybersecurity is something that, as you know, is not a matter of if it is going to happen, it is when it is going to happen.

Look, there is a difference by industry, but I would tell you that today, within what has to do with technology, at least 15 or 20% of its investment has to be related to cybersecurity issues. Cybersecurity is something that, as you know, is not a matter of if it is going to happen, it is when it is going to happen.

It's going to happen at some point in your story that you're going to get a cyber attack and you're going to be a victim of something big that's happening.

It's going to happen at some point in your story that you're going to get a cyber attack and you're going to be a victim of something big that's happening.

If you're not prepared to do that, it's going to be a real disaster that can throw you on the ground all the investment you've made in technology, the construction of reputation with your clients, that relationship that cost you so much to create. So I don't see a minimum, I don't see less than 20% of investment in your technology costs related to cybersecurity.

If you're not prepared to do that, it's going to be a real disaster that can throw you on the ground all the investment you've made in technology, the construction of reputation with your clients, that relationship that cost you so much to create. So I don't see a minimum, I don't see less than 20% of investment in your technology costs related to cybersecurity.

Yes, from both sides. Without a doubt. You have the bad guys, let's say, the ones with a black hat, and the good guys. That's a career that is always very close. Every time that the companies that we dedicate ourselves to make solutions and products about this, If we take one more step, the Black Hats do something similar and manage to take an additional step.

Yes, from both sides. Without a doubt. You have the bad guys, let's say, the ones with a black hat, and the good guys. That's a career that is always very close. Every time that the companies that we dedicate ourselves to make solutions and products about this, If we take one more step, the Black Hats do something similar and manage to take an additional step.

So, the use of artificial intelligence is a must. You have to use it. If not, it's very easy for you to get the development that these companies, which today, as you know, are professionals. They get up every day, they get dressed, they go, they connect as it should, and they work their 14 or 15 hours a day dedicated to seeing how they do to break the main security cracks in the world.

So, the use of artificial intelligence is a must. You have to use it. If not, it's very easy for you to get the development that these companies, which today, as you know, are professionals. They get up every day, they get dressed, they go, they connect as it should, and they work their 14 or 15 hours a day dedicated to seeing how they do to break the main security cracks in the world.

Así es.

Así es.

There is a special preparation for what will be the 100, as we mentioned at the beginning, we are going to have a super party with that. 100 years of uninterrupted operation in the country is... It's fantastic. Of course, they're the first guests, but I think we're going to enjoy it a lot. And the other thing is, we're in a very special moment.

There is a special preparation for what will be the 100, as we mentioned at the beginning, we are going to have a super party with that. 100 years of uninterrupted operation in the country is... It's fantastic. Of course, they're the first guests, but I think we're going to enjoy it a lot. And the other thing is, we're in a very special moment.

Our chairman recently, last year, mentioned us as one of the countries with the greatest growth in the world, in the IBM. Those are those emotions that last like 10 minutes, because they mention you in the moment, in the world, and the next week comes the pressure of how much you're selling, right?

Our chairman recently, last year, mentioned us as one of the countries with the greatest growth in the world, in the IBM. Those are those emotions that last like 10 minutes, because they mention you in the moment, in the world, and the next week comes the pressure of how much you're selling, right?

Pero fue un momento muy emocionante para todos y lo bonito fue que nos aprobaron un proyecto de crecimiento bien importante para México que comienza este año, en el cual estamos dedicando un número bien importante de especialistas, sobre todo gente de tecnología muy, muy profunda en tecnología. that are going to work with our network of business associates in all parts of the country.

Pero fue un momento muy emocionante para todos y lo bonito fue que nos aprobaron un proyecto de crecimiento bien importante para México que comienza este año, en el cual estamos dedicando un número bien importante de especialistas, sobre todo gente de tecnología muy, muy profunda en tecnología. that are going to work with our network of business associates in all parts of the country.

And we are going to help, especially in industries such as manufacturing, everything that is in the industrial fields and everything that has to do with the nearshoring and everything that we are doing today of exportation for the United States to help those companies implement artificial intelligence and automation in their processes and everything that has to do with logistics.

And we are going to help, especially in industries such as manufacturing, everything that is in the industrial fields and everything that has to do with the nearshoring and everything that we are doing today of exportation for the United States to help those companies implement artificial intelligence and automation in their processes and everything that has to do with logistics.

So it's a year of growth, it's a year of additional investment from IBM on the Niel Shoring side, but also on the side of what has to do with what we do from Guadalajara for the world. We have hundreds of people who do everything that is application development, BPO, which is process management for companies that are in any part of the world, and we do it with pride from Guadalajara.

So it's a year of growth, it's a year of additional investment from IBM on the Niel Shoring side, but also on the side of what has to do with what we do from Guadalajara for the world. We have hundreds of people who do everything that is application development, BPO, which is process management for companies that are in any part of the world, and we do it with pride from Guadalajara.

Tenemos una fuente muy importante de creación de talentos adicionales. Esa gente se forma y es gente que eventualmente crece muchísimo dentro de IBM, pero incluso cuando están después en el mercado, la formación que tienen dentro de IBM son profesionales de clase mundial.

Tenemos una fuente muy importante de creación de talentos adicionales. Esa gente se forma y es gente que eventualmente crece muchísimo dentro de IBM, pero incluso cuando están después en el mercado, la formación que tienen dentro de IBM son profesionales de clase mundial.

Así que estamos muy orgullosos de ser no solamente un empleador grande en México desde el punto de vista de tecnología, pero también un formador de skills para el futuro en este maravilloso país.

Así que estamos muy orgullosos de ser no solamente un empleador grande en México desde el punto de vista de tecnología, pero también un formador de skills para el futuro en este maravilloso país.

Sí, sí, tenemos el Tech Exchange, es un intercambio tecnológico que hacemos una vez al año, lo hacemos normalmente en el tercer quarter de cada año, y ahí invitamos a las personas, pero los más geeks.

Sí, sí, tenemos el Tech Exchange, es un intercambio tecnológico que hacemos una vez al año, lo hacemos normalmente en el tercer quarter de cada año, y ahí invitamos a las personas, pero los más geeks.

of all the industries and all the companies, the people who report to the CTOs of the companies, those who are really doing wonderful things from a technological point of view, and we invite them to a meeting that allows them to share experiences and just like to shake what one is doing, they challenge us to see if we are really doing what is right or if we are taking the wrong path.

of all the industries and all the companies, the people who report to the CTOs of the companies, those who are really doing wonderful things from a technological point of view, and we invite them to a meeting that allows them to share experiences and just like to shake what one is doing, they challenge us to see if we are really doing what is right or if we are taking the wrong path.

A very nice event, which by the way we did, this year will be the third time we do it, But last year we also did it in Mexico. We did it in Mexico City and in Monterrey. This year we are going to do it again in a Mexico chapter.

A very nice event, which by the way we did, this year will be the third time we do it, But last year we also did it in Mexico. We did it in Mexico City and in Monterrey. This year we are going to do it again in a Mexico chapter.

Yes.

Yes.

Of course, you can do it through LinkedIn, you can look for us in any of your versions of IBM, IBM Mexico, and they will be able to connect with our recruiting people, that we are active, in fact, we are active hiring people, which is a year of hiring, so it is a very nice year in all areas, in software, in hardware, in technologies like cybersecurity, in automation, we are really growing in that area, so it is a very nice moment.

Of course, you can do it through LinkedIn, you can look for us in any of your versions of IBM, IBM Mexico, and they will be able to connect with our recruiting people, that we are active, in fact, we are active hiring people, which is a year of hiring, so it is a very nice year in all areas, in software, in hardware, in technologies like cybersecurity, in automation, we are really growing in that area, so it is a very nice moment.

Super, there it is.

Super, there it is.

Look, it's a question we've been asked for 70 years. And you know what happens? The answer is still the same. It's still the safest, fastest, most efficient platform ever made by a human being in technology. So the banks today, I can tell you that the 100 largest banks in the world today run on Mainframe IBM. That's a huge pride. En sus oficinas. El mainframe es la base de todo lo que hacen.

Look, it's a question we've been asked for 70 years. And you know what happens? The answer is still the same. It's still the safest, fastest, most efficient platform ever made by a human being in technology. So the banks today, I can tell you that the 100 largest banks in the world today run on Mainframe IBM. That's a huge pride. En sus oficinas. El mainframe es la base de todo lo que hacen.

Lo interesante del mundo del mainframe es que siempre está en evolución. El mainframe de hoy es un mainframe que tiene las mismas características de seguridad y de eficiencia que tenía hace 30 años atrás. La diferencia es que hoy en día, por ejemplo, los procesadores pueden correr modelos de inteligencia artificial directamente en el procesador.

Lo interesante del mundo del mainframe es que siempre está en evolución. El mainframe de hoy es un mainframe que tiene las mismas características de seguridad y de eficiencia que tenía hace 30 años atrás. La diferencia es que hoy en día, por ejemplo, los procesadores pueden correr modelos de inteligencia artificial directamente en el procesador.

Son procesadores que están preparados para un mundo cuántico de cyberattacks por el lado de Quantum. O sea, está Quantum ready cuando justamente los malos del lado de cybersecurity quieran atacar a un banco.

Son procesadores que están preparados para un mundo cuántico de cyberattacks por el lado de Quantum. O sea, está Quantum ready cuando justamente los malos del lado de cybersecurity quieran atacar a un banco.

Con lo cual, la gran pregunta que los clientes se hacen es, tengo lo que funciona perfecto, que está constantemente en evolución, que cada dos o tres años tiene una nueva evolución, como seguramente vamos a tener ahora este año muy pronto. Con lo cual, sigue siendo vigente.

Con lo cual, la gran pregunta que los clientes se hacen es, tengo lo que funciona perfecto, que está constantemente en evolución, que cada dos o tres años tiene una nueva evolución, como seguramente vamos a tener ahora este año muy pronto. Con lo cual, sigue siendo vigente.

Claro, por supuesto. Era un gasto bastante fuerte. Claro, o sea, un banco como los dos o tres más grandes de acá, por ejemplo, el centro de datos de Mainframe seguramente era un piso como un edificio como este, digamos, manejar eso. Hoy en día lo que llamamos el footprint de un Mainframe, estamos hablando de un refrigerador que parece lo que tienes en tu casa.

Claro, por supuesto. Era un gasto bastante fuerte. Claro, o sea, un banco como los dos o tres más grandes de acá, por ejemplo, el centro de datos de Mainframe seguramente era un piso como un edificio como este, digamos, manejar eso. Hoy en día lo que llamamos el footprint de un Mainframe, estamos hablando de un refrigerador que parece lo que tienes en tu casa.

Claro, o sea, es realmente pequeño, es súper, súper eficiente.

Claro, o sea, es realmente pequeño, es súper, súper eficiente.

To you. Thank you very much. Is there a museum? Do you have a museum to see? Here we have one small, but in Guadalajara, which I also have to invite. We have one very nice on the campus. We are ready.

To you. Thank you very much. Is there a museum? Do you have a museum to see? Here we have one small, but in Guadalajara, which I also have to invite. We have one very nice on the campus. We are ready.

Thank you.

Thank you.