- hace 15 minutos
La Inteligencia Artificial ya cambió la forma en la que se están desarrollando las actividades económicas y en Colombia hay empresas que lo confirman. En esta conversación con Claudia Boeri, presidente multipaís para Latinoamérica y el Caribe de SAP, se detalla lo que ellos llaman la “empresa autónoma”, qué pasa cuando se unen los datos y la IA para tomar decisiones, la necesidad creciente de crear agentes para que la tecnología haga lo que antes nos tomaba días enteros y el por qué este no es un asunto solo de los ingenieros o de los que hablan de código a diario, sino de todos los que hacemos parte de las organizaciones, como las personas de recursos humanos. En el SAP IA Fest 2026 contaron cómo la eficiencia, la productividad y la rentabilidad sí se pueden lograr con ayuda de la inteligencia artificial. ¿Cómo? Aquí nos lo narra.
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00:00We have a very special guest who is going to explain to us how artificial intelligence
00:04Yes, it is changing business and how it is changing daily life.
00:08That which we sometimes don't even notice.
00:18Claudia Boeri, I hope Claudia said it right.
00:21Perfect.
00:21Claudia Boeri, I want to read it because I don't want to make the mistake.
00:25Claudia Boeri, multi-country president for Latin America and the Caribbean at SAP,
00:30as we all know it, those of us who have been in the technological world for a couple of decades.
00:33Claudia, welcome to this space, El Espectador.
00:36Thank you so much, and what a great opportunity to talk because AI really is changing the world.
00:41Yes, the world is changing, and it has perhaps changed all of us who are facing it.
00:45screen,
00:46behind a desk, but also to people who are not behind a screen,
00:49from a desk, and I think that's part of this conversation.
00:52We are in the context of an event that is very important to you,
00:57SAP or SAP AI Fest 2026.
01:01For those who didn't have the opportunity to attend the event,
01:04Tell us a little bit about what it is, Claudia.
01:05Well, SAP, because that's what we call it, although SAP is also valid,
01:10AI Fest aims to put the spotlight on artificial intelligence, of course.
01:16but in the field of business management, within the framework of the company.
01:22And that's why we're going to talk, and we are talking, with all our clients present from the self-employed company.
01:28It's about how what we do today to seek productivity, to seek efficiency,
01:36We can indeed achieve business profitability with artificial intelligence.
01:41And nobody better than SAP, which has over 50 years of experience helping companies achieve these goals.
01:49goals.
01:49I want to tell you something, and the audience too.
01:52I recently attended the presentation of a report that surveyed more than 500 companies in Colombia.
01:56mainly, and also Mexico and a couple of other countries.
01:59And I was left with a lot, let's say, a message, and I want to read it too.
02:04And it was that in the scenario, in the environment in which we are living with artificial intelligence,
02:09We are entering the era of scaling with consistency and strategy.
02:14And I feel that's kind of your message.
02:16In other words, we're no longer in a position to keep asking AI questions the way we used to ask Google.
02:21but we are already in a position to control agents that we ourselves developed.
02:26The question is how AI is developing, being used, and impacting daily life.
02:31companies, businesses, and ultimately consumers.
02:34The truth is that we are evolving from AI towards this individual productivity,
02:42this experimentation that you describe so well,
02:45towards an AI that has an impact on business management.
02:50It has to do with automation,
02:52It has to do with assistance to us as employees of our companies.
02:58to make the best decisions.
03:00This is change, what we mentioned at the beginning,
03:03a change in the way we operate businesses,
03:06because human capital is freed up so that, well,
03:10so that we can continue to grow our companies.
03:14Claudia, how do you use artificial intelligence in your daily life?
03:17In that multi-country role,
03:21Explain to us right now what "multi-country" means.
03:23because it doesn't seem that simple,
03:24But how do you use AI in everyday life?
03:27Does it help to expedite that decision-making process in those various countries?
03:30who do we assume is currently leading the position?
03:33Okay, let's see, first of all, multi-country, we call it multi-country.
03:38There are many countries in Latin America,
03:40everyone without Brazil and without Mexico.
03:43In other words, Latin America is organized into three functional units
03:47And I'm in charge of this one, which ranges from, well,
03:50Colombia, Venezuela, Central America, Caribbean
03:53and it reaches as far as the southern countries.
03:55I live in Argentina and yes,
03:58I regularly visit and stay in contact with clients
04:00who are in this business transformation
04:03and in this decision to impact their businesses
04:08with artificial intelligence.
04:10Now, to your question.
04:11How do you use it?
04:12How do I use it?
04:13Technology house, IAE knife.
04:18So I use SAP tools.
04:22Let me tell you about the self-employed company.
04:23Let's see, let's see.
04:24The autonomous company has to do with what you mentioned,
04:28the word agent placed at the service of execution,
04:33in service of what we do in companies.
04:35So SAP, on the one hand, is outsourcing the usual processes.
04:42The RP, that's the app everyone knows us by,
04:46but also the entire business suite platform,
04:48the standalone suite now.
04:50Human resource management,
04:52purchasing management, suppliers,
04:55customer service, customer experience.
04:57All of this is being intervened upon, impacted,
05:02augmented by artificial intelligence through agents.
05:06Agents who assist us as officials.
05:12The financial area agents for the CFO,
05:15the agents in the customer experience area
05:18for those in sales and marketing.
05:20Why not?
05:21This is SAP.
05:23In everyday life, this means that humans,
05:26And perhaps some have heard the concept of "human in the loop,"
05:30the person interacting with artificial intelligence,
05:35with these agents.
05:36This means that we ultimately have to
05:40use tools.
05:42And this is where my day-to-day life comes in.
05:45Shulware Desktop is the entry point for that, yes,
05:50so that he/she can ask questions.
05:51The window.
05:52So that I can ask questions,
05:54so that he can put these agents into action
05:58that automate things I do every day.
06:01Today I have agents who help me prepare the content
06:07of my daily schedule,
06:09that help me prepare conversations with clients
06:13Regarding the possibility of connecting and referencing,
06:16that help me to, well,
06:19some workflows that I also have to do
06:21as part of my executive responsibility.
06:23I have a question.
06:25Has AI made it more productive?
06:29But has it also meant taking on more work, or not?
06:33The day has the same number of hours, 24.
06:37You have to try to leave yourself some space for your personal life,
06:41But it is a busy day.
06:43Also more productive.
06:44I think the basics are the same as always.
06:47to exercise judgment about what is a priority
06:50in order to be able to dedicate the appropriate level of intensity and focus.
06:56Yes, it's been expedited today.
06:57I have to say it quickly,
06:59by artificial intelligence.
07:01I kind of like the context that Claudia provides.
07:04because I've done a lot of interviews
07:07written about artificial intelligence
07:08and we really are more productive
07:10because before we had to do operational things
07:12and nowadays, agents already...
07:14because the agent does it for you.
07:15Or one regularly needs a team
07:17of 4 or 5 people to do certain things
07:19And nowadays the agent does it for one.
07:22So, one way or another,
07:23one is indeed more productive.
07:25But that is also yielding more and more data.
07:28And then I want us to link the scenario
07:30of the use of data with artificial intelligence
07:32to make business decisions.
07:34Today, more than ever, we have more data.
07:36And well, all those I've heard from this side
07:39tell me that the new gold,
07:40The new oil is data.
07:43Tell us about that.
07:44How are they linking and how should they be linking
07:46the data that each of us is providing
07:48With all this, with the phones,
07:49computers and so on,
07:50with artificial intelligence
07:52And what about decision-making in business?
07:54Fundamental.
07:56I agree with you.
07:57Data is oil.
07:58But like everything else, right?
08:00We need to take care of it,
08:01It needs to be set to the right setting.
08:03so that productivity
08:05and decision-making
08:07is the one we are looking for.
08:10I was telling you about the self-employed company.
08:13The self-employed company has to do with
08:14with these agents that automate.
08:17But in order to put it into operation
08:20This ability to automate,
08:23to do what we humans do today,
08:24Let's put it this way,
08:26what has to happen
08:28This is because this artificial intelligence
08:29I will learn over time.
08:31improve.
08:32And what this function does
08:35based on that data
08:36from which it feeds.
08:38In the self-employed company
08:40It is important
08:43the connection mechanism
08:45with this entire platform.
08:47I was telling them personally,
08:49I use Shulware Desktop.
08:51But it is also important
08:53the strategy for managing data
08:57from which
08:59I achieve productivity.
09:00That data is managed
09:02through a key component
09:05that we call
09:06SAP Business AI Platform,
09:09AI platform for business.
09:12And on this platform
09:14that which we take care of
09:16These are three key aspects.
09:18One aspect that has to do
09:20with the context of this data.
09:22A second one is governance.
09:25And the third one that has to do with it,
09:26Well,
09:27How do I combine this data?
09:28that my company produces
09:31with eventually others
09:32that are in the external world,
09:34even on the Internet.
09:36Context matters
09:37which is not about
09:38of language
09:40or of the tool.
09:42This is about
09:43that the data
09:44occur
09:46in an environment
09:47that makes business sense.
09:49That occur
09:50within the processes
09:51of walking
09:53from my company.
09:55Key governance
09:56nowadays,
09:57And I think it's
09:57all the press
09:59Speaking of this,
09:59It has to do with
10:00with certainty.
10:01It has to do with
10:02with that data
10:06go through these agents,
10:07but produced
10:08in an environment
10:09security
10:10where each agent
10:12has the permissions
10:13and has the possibility
10:15to be audited,
10:16that traceability
10:17that is needed
10:17in the environment
10:18of business.
10:19And well,
10:20the third one I mentioned
10:21It has to do with
10:21with this construction,
10:22This development,
10:23which is for connecting
10:25that data
10:26with eventually
10:27other data sources,
10:28even external,
10:29so that they can grow.
10:30But for them to grow
10:32in a way
10:33with context
10:34and with governance
10:35appropriate.
10:35It's because I hear
10:36Claudia
10:36And I remember
10:37when I did
10:38the MBA
10:38which was before
10:39of the pandemic,
10:41really to create
10:41a business case
10:42or a business case
10:43or model a business
10:44one was taking
10:47probably a month
10:47And that's with a good team.
10:49Nowadays
10:50one with a good agent
10:51trained in a company,
10:53That's in question.
10:54of minutes.
10:55And so one takes
10:56business decisions
10:57intelligent.
10:58You have said a lot
10:59the word autonomous,
11:00self-employed company,
11:01self-employed company.
11:02I want you to
11:03which is multi-country,
11:04who sees cases
11:04from Central America down
11:06all the way to Argentina
11:07where he lives
11:08and surely
11:08has seen more
11:09in the rest of the world.
11:10Tell us about cases
11:11of successes,
11:12of companies that have already taken
11:14the decision
11:14to unite them all,
11:15combine data,
11:17technology,
11:18that have taken
11:19the decision
11:20to also give it to him
11:21part of the achievement
11:22of their daily lives
11:23to artificial intelligence
11:25and that are palpable,
11:26What can you tell us?
11:27Listen,
11:27This is an example.
11:28to follow
11:29of that which sometimes
11:30Everything seems so
11:32strange and different.
11:33No,
11:33That's part of everyday life.
11:35The truth is that
11:35There are cases
11:37beautiful
11:37and high impact.
11:39Of course
11:40in the world,
11:41many too
11:42in this region
11:42in which I have
11:44the pleasure of working
11:46and here too
11:47in Colombia.
11:48Reference cases
11:50of the region,
11:51I think there are
11:52a client
11:53emblem
11:53What is Mercado Libre?
11:55They have advanced
11:57not only
11:57in what
11:59Many of the customers,
12:00all customers
12:01occupy their time
12:02what is
12:03in the
12:04integration
12:05of their platforms
12:06of processes
12:07with the RP
12:08and all systems
12:10of the Business Suite,
12:11but they advanced
12:12in automation,
12:14agentization
12:15of many
12:15of the processes
12:16business
12:16and today they are
12:17a case
12:18reference
12:19in Latin America
12:21and a case
12:21reference
12:22to a window
12:23of us
12:24towards the world,
12:25Let's tell the truth.
12:26They call you Mercado Libre
12:27Argentina.
12:28Ah, Mercado Libre
12:28born in Argentina,
12:29But today...
12:30Marcos Galperín.
12:30Clear,
12:31but today
12:32Who doesn't feel it close?
12:34Who doesn't feel
12:35that is near
12:36from his country
12:37at least
12:38in Latin America?
12:39Clear,
12:40It is the largest trade
12:40electronic
12:41from this part of the world.
12:43Completely.
12:44And also
12:44There are cases
12:45very nice
12:46that are developing
12:47in all countries.
12:48Right here
12:49at AI Fest
12:50We have clients
12:52like Bolt
12:53from the financial area,
12:55those of the card readers
12:56that each time
12:57that one is going to pay
12:57in a store
12:58The gentleman leaves
12:59there with his card reader
12:59in entrepreneurship
13:00who go out with a card reader
13:01hanging tiny
13:02and they insert the card
13:03or in trade
13:04that already have one
13:05that looks like a calculator
13:06electronics.
13:07That,
13:07and already moving forward
13:08in the whole concept
13:10of the autonomous company
13:10and beginning
13:11to agent
13:13I don't know,
13:14companies like
13:14Ecopetrol.
13:15Ah, yes,
13:16the largest company
13:18from Colombia,
13:18the state-owned oil company.
13:19Tell us about that case.
13:20Well,
13:21Ecopetrol too,
13:22a whole journey
13:24preparation
13:25what does that have to do with it
13:26with the establishment
13:27of the platforms
13:29management,
13:29the processes
13:30that they give you
13:31the context,
13:32that they give you
13:32governance,
13:33what I just told them
13:34to explain,
13:35which is fundamental
13:36for management
13:38in the world
13:39of business
13:39and now,
13:40of course,
13:41moving forward
13:41in various initiatives,
13:43especially
13:44a very interesting one
13:45related
13:46with the area
13:46shopping,
13:47how to improve
13:48and automate
13:49decisions
13:50and processes
13:51of purchase.
13:52Arturo Calle
13:53also,
13:54I think everyone...
13:55Another iconic brand
13:56Colombian,
13:57Mr. Arturo Calle.
13:58It isn't true?
13:59Making progress in everything
14:00what planning is
14:01demand
14:03through,
14:04Yeah,
14:04of one of the modules
14:05that we have in SAP
14:06focused on this,
14:08but from
14:09of the management
14:11of the process,
14:12How to get started
14:12to automate
14:14through
14:15of scenarios
14:16prediction
14:17everything that is
14:18the supply.
14:20So,
14:20There are many examples.
14:21in different areas,
14:23in the areas
14:23human resources
14:24in order to be able to,
14:25I don't know,
14:27ease
14:27the process
14:28hiring
14:30of personnel.
14:31This is what we were doing
14:32to receive
14:33hundreds
14:34of resumes
14:35and I have to
14:36correlate them
14:37with the profile
14:38and see,
14:39today everything
14:40He does it
14:40artificial intelligence.
14:42And of course,
14:43I insist,
14:44human in the loop,
14:46because companies
14:47need
14:48staff
14:49human resources
14:51to see
14:52if to whom
14:52that we are going to hire
14:53It fits into the culture.
14:55Companies
14:55We need a CFO
14:57that he signs a balance sheet
14:58and that it controls.
15:00In Colombia we say
15:01that he pays
15:01the check.
15:02Exact.
15:03And that it be audited.
15:04And obviously
15:05There is a lot of attendance
15:06through these agents,
15:07but the responsibility
15:08It still exists
15:09in our officials.
15:11Claudio,
15:11you appointed
15:12brands that are already big.
15:13José Vélez
15:14is the creator
15:15of Volt.
15:16Ecopetrol
15:16is the biggest
15:17Colombian company
15:18in the state-owned oil company
15:19with the largest amount
15:20of shareholders,
15:22people,
15:22let's say,
15:25natural
15:25that have bought
15:26actions there.
15:27named
15:28Arturo Calle,
15:29the company
15:29that created
15:30Don Arturo Calle
15:30It's been quite a few decades now.
15:32that today is
15:33in the second
15:33and in the third generation
15:34and I think everyone
15:36we know in this country,
15:37but there it names
15:39very large companies.
15:40The question is
15:41how do we do it
15:41to reach him
15:42to medium-sized companies,
15:44small,
15:45that ultimately
15:45in the Colombian market
15:46They are 90%
15:47of the economy
15:49that,
15:50saying,
15:50Well, through Confecámara
15:51are the ones that
15:52They give it to him
15:53formal employment
15:53to the people.
15:54How to
15:55to reach him
15:55with all this
15:56that you have told us
15:57also to companies
15:58medium and small
15:59because it seemed
15:59which is only
16:00for adults
16:01And I don't think so.
16:02Clear,
16:02let's see,
16:03You're right.
16:0480%
16:05of the customers
16:06from SAP
16:07in the world
16:08They are SMEs.
16:09Ah,
16:09in the world.
16:09In the world.
16:10Ah,
16:10It's not just
16:10the Colombian market.
16:12No,
16:12It's not in Colombia,
16:13It's not in Latin America,
16:14It is in the world.
16:15This clearly indicates
16:16which is nothing new,
16:18It is a path
16:19that SAP
16:20has developed
16:21through
16:22of what today
16:22we know
16:23like the business suite
16:24and what
16:25we do
16:26is to guide
16:27to the customers
16:28to take the road
16:29appropriate.
16:30There are some methodologies
16:31which we call
16:32Rise,
16:33Rise with SAP
16:34and all,
16:35you saw,
16:35we put
16:35SAP,
16:37Rise with SAP
16:38yes,
16:39It's for these customers
16:40maybe
16:40that they already have
16:41a trajectory,
16:43a volumetry
16:43of data,
16:44a management
16:45of processes
16:46that requires
16:47certain step
16:48depending
16:49of that complexity
16:50that eventually
16:51They may have.
16:52And there is another way
16:54which we call
16:55Grow with SAP
16:56and as it indicates
16:58Grow,
16:58growth,
16:59aim more
17:00to those companies
17:01who are just starting out,
17:02that they have
17:03like the opportunity
17:04of,
17:05Well,
17:05There is a blank sheet of paper
17:06and as a stroke
17:07this way
17:08of agility.
17:09More startups move.
17:10Clear,
17:11and where
17:11here
17:12the recommendation
17:15basic
17:16It's adoption,
17:17I adopt,
17:18if SAP
17:18It's a company
17:19global
17:20present in the world,
17:2180%
17:22of the customers
17:23They are SMEs,
17:24How can I not go?
17:24to take
17:25those best practices?
17:26TRUE?
17:26I have
17:27a big doubt
17:28And that's how
17:29one
17:30one way or another
17:31shape
17:33leads
17:33in times of guidance.
17:34I ask him
17:35to the woman
17:36behind the position.
17:39One lived
17:40processes that were previously different
17:41that took
17:42time,
17:42execution
17:43and today
17:43one works it out
17:44many processes
17:45with agents
17:45within companies.
17:47One of the presidents
17:48of the companies
17:49largest technology companies
17:50of the world
17:50I was saying last week,
17:51I think one
17:52of the charges
17:52which is faster
17:53could be replaced
17:55in a good way
17:56of the word
17:56It's mine
17:57and the type
17:57He is the CEO
17:58of a company.
17:59I said so.
18:01not because of the stage
18:02of fear
18:03but to say
18:03that the ability
18:04agentic
18:05intelligence
18:06artificial
18:06It's tremendous,
18:07probably
18:08not yet so well known.
18:09How do you lead?
18:10in times of guidance
18:11you who are
18:12in a company
18:12technology
18:13in a multi-country?
18:15Clear.
18:16Let's see,
18:16I think that
18:18first
18:19I apply curiosity.
18:21Let's see,
18:22I'm curious
18:23because of that answer.
18:24That,
18:25the change begins
18:25by oneself
18:26and if one
18:27It's not curious
18:28to stay
18:29updated,
18:30to experiment,
18:31very little
18:32will achieve
18:33learn.
18:34So,
18:35curiosity
18:35I link it
18:36with learning
18:37and so?
18:37I apply it
18:38in my inner field
18:39I apply it too
18:41in my role
18:42of leader.
18:43Two weeks ago
18:44we were
18:45yet
18:46my team
18:46leadership
18:47regional
18:47in a workshop
18:48two days
18:49where we create
18:51agents
18:52intelligence
18:52artificial.
18:53I'm talking about directors
18:54in charge
18:55of segments
18:57business,
18:58responsible
18:58of country,
18:59Catalina Manrique
19:00as manager
19:01general of Colombia,
19:02everyone learning
19:04how to place it
19:05now in service
19:06of what we do.
19:07I mean,
19:07He wasn't the engineer
19:08writing code
19:09as we call it,
19:09but the leaders
19:10creating agents
19:11with intelligence
19:12Available in SAP.
19:13Completely,
19:14Because that's what's beautiful about it.
19:14also of this type
19:15of technologies.
19:17No experience
19:19in coding,
19:20we tell him
19:21low code,
19:21no code,
19:22the tools
19:23They even allow us to do that.
19:24So,
19:26curiosity
19:26in the individual field,
19:28curiosity
19:28to open the doors
19:29and empower
19:30to those around me
19:31so that they have the time
19:33and have the tools
19:34in order to do it.
19:35And I would tell you
19:36what responsibility,
19:37because in the end
19:38the power to experience
19:40and being able to carry this
19:41to an impact field
19:44in business
19:45it also entails
19:47responsibility
19:48that this
19:49achieve maturation
19:50in those times
19:51that are needed,
19:52which are short today,
19:53but with the impact
19:55that we are looking for,
19:56that for our ecosystem
19:58of clients
19:59It has to do with
19:59with productivity,
20:02profitability
20:02and efficiency.
20:03When I had
20:04to advance
20:05a project
20:05in the newspaper
20:06It's been a while
20:07eight years
20:08and it was for the first time
20:11in Colombia
20:11a media outlet
20:12I was going to get paid
20:13for its digital content.
20:14I had to lead
20:15that process
20:15and it was kind of chaotic
20:17initially
20:18because we depended
20:19of many engineers
20:20code
20:20who were not in Colombia,
20:21they were, let's say
20:22out,
20:22some externalities
20:23that I did not control
20:24and we believed
20:25that autonomously
20:26and I'm going towards that word
20:28because I find it attractive
20:29every time Claudia
20:30names her,
20:31we believed that the model
20:32it was going to work on its own,
20:33because it was a model
20:34e-commerce,
20:35I simply
20:36I put a paywall on it,
20:37a paywall
20:37to the viewer
20:38and the buyer
20:39was going to arrive,
20:40I was going to do it alone
20:41your payment
20:41and the experience
20:42and I didn't have
20:43a lot of people
20:44that of service
20:45to the customer,
20:46verification
20:47payments
20:47And then we realized
20:48no,
20:49that that wasn't the case.
20:50I want you to talk to us
20:51to dispel that myth
20:52that artificial intelligence
20:53He's going to take it away
20:54employment for people.
20:55I want you to tell us
20:57how on the contrary
20:58which is partly
20:59what he told us
20:59autonomy
21:00of the companies
21:01what it does
21:02It's the superpower.
21:03Tell us about that,
21:04Claudia.
21:05Well,
21:05That's why I insisted
21:06with the concept
21:07of human
21:08in the loop
21:08human
21:09in the center,
21:10human collaborating
21:12from everything
21:13beautiful
21:13that brings
21:14artificial intelligence
21:15and automation.
21:18There are studies
21:19that,
21:19There are studies
21:20for everything.
21:22Like the polls,
21:23There's something for everyone.
21:25But when asked
21:26to the leaders
21:27of the companies
21:28which are
21:28the main obstacles,
21:30They have to do
21:31with quality
21:32from the data,
21:33We already discussed this topic,
21:34They have to do
21:35with governance,
21:36this whole topic
21:37associated with
21:38that data
21:39be truly
21:41those who give me
21:41traceability
21:42and security
21:43of what I will be able to
21:44automate
21:45or the decisions
21:46that I'm going to take
21:46and the third
21:47It has to do with
21:48with people,
21:49It has to do with
21:49with talent
21:50And that's why
21:51I occupied
21:52the word
21:53curiosity
21:53associate
21:54learning.
21:55I think that
21:58it is fundamental
21:59why
22:01artificial intelligence
22:02can be capitalized
22:04at the service of the business
22:05because that's what
22:06We do SAP,
22:07is to help
22:08to the companies
22:09to manage
22:10improve your business
22:11so that we can
22:12impact
22:13to life
22:14of people,
22:15so that the world
22:16live better
22:16through whom
22:17provides a service
22:18health,
22:19through whom
22:19provides a service
22:20public,
22:21through whom
22:22It gives us food
22:22that we consume.
22:24So,
22:25invest time
22:26in talent
22:27It is fundamental.
22:29Artificial intelligence
22:30like everything else, change
22:32or revolution,
22:34if we want
22:34go to that word,
22:36brings change
22:37and of course
22:39it's going to change
22:39the composition
22:40and the type
22:42work,
22:42the job description
22:43of many
22:44of us.
22:45Maybe
22:46we don't know
22:46how much,
22:48But I'm sure
22:49that those
22:49Let them prepare
22:50and let's get ready
22:52to be
22:53in the possibility
22:54to capture
22:56that value
22:56what he proposes,
22:57surely
22:58we will be the ones
22:59Let's help write
23:00our next
23:01job descriptions.
23:02So,
23:03This is where
23:04more than fear
23:06We need to hug,
23:08more than doubt
23:11we have to give it our all
23:13to do.
23:14and a value
23:15fundamental
23:16that brings
23:16all this
23:17is
23:17in our roles
23:19or in my role
23:19as a leader
23:20promote
23:21a culture
23:22of the permit
23:23where
23:23this experimentation
23:25sometimes
23:25Well,
23:26Yeah,
23:26He didn't let me
23:27people
23:28walking very well
23:28but
23:29for that
23:30There are collaborators,
23:31for that
23:31we can work
23:32as a team
23:33and from
23:34of the fault
23:34I'm still learning.
23:35Because?
23:36What are you doing
23:36Artificial intelligence?
23:38Learn all the time.
23:39And there today
23:40And that's because
23:41I remember
23:41that the first article
23:42that I did
23:42which also
23:43was the first
23:43that was done
23:44throughout the newsroom
23:44of the Spectator
23:45It was a while ago
23:465 or 6 years
23:47I continued
23:48on the social network
23:49X
23:50a community
23:50of engineers
23:51and they began
23:52to talk about that
23:52a thing called
23:53ChatGPT
23:54and me there
23:54with curiosity
23:56I began to investigate
23:57me too
23:57what is this?
23:57and I find it
23:58and they start giving me
23:59answers they give me
24:00driving instructors
24:01from the MBA
24:02me too
24:02What is this madness?
24:03I write that first article
24:04but from that moment
24:06here
24:06the thing has been
24:07a complete revolution
24:09I was talking to a consultant
24:12of times
24:12from when
24:14computing
24:15quantum
24:15It wasn't
24:16not even
24:16familiar word
24:17And he said
24:18It's that intelligence
24:19artificial
24:19It's not from
24:20ChatGPT
24:20this way
24:21This has
24:2150 or 60 years
24:22What I mean is
24:23with this
24:24It has changed
24:25very fast
24:25has been
24:26absolutely generative
24:27in recent months
24:29or the couple of years
24:30And I want to tell you
24:32Take that ball out
24:32glass
24:33if possible
24:34And tell us a little bit
24:35of the future
24:35It's difficult
24:37project
24:37in the world
24:38of technology
24:38of business
24:39in technology
24:395 to 10 years
24:40and above all
24:41today with intelligence
24:42artificial
24:42but
24:44Let's try it
24:45Let's talk about next year.
24:46or the next two years
24:48of the impact
24:49of business
24:51thanks to AI
24:52What's your take on it?
24:53a woman who has been
24:54technology all my life
24:55who is leading
24:56teams
24:57that experiences processes
24:58And what did he just tell us?
24:59It is also
25:01using creativity
25:02to implement AI
25:03at your service
25:04of his own business
25:05I believe that
25:06There is a responsibility
25:10that does not change
25:11over time
25:12despite the technologies
25:14for a company
25:16be more efficient
25:18may
25:19set goals
25:21growth
25:22may
25:23I don't know
25:24to have more profitability
25:25lower cost
25:26whatever
25:27the indicator
25:28with which one
25:29reflect
25:30those ambitions
25:31in short
25:32what it has to achieve
25:33is
25:34management processes
25:36so that
25:37Let it flow
25:38in a natural way
25:39Today, artificial intelligence
25:41has the possibility
25:42to accelerate
25:43those processes
25:45Let's imagine
25:46I don't know
25:47a situation
25:47purchase
25:49I want to buy something
25:50then surely
25:52There will be
25:52an official
25:54shopping
25:54within my company
25:56which
25:57Someone is going to ask him
25:59that buy
26:00which has to
26:01contact
26:01to n suppliers
26:03in order to do it
26:04then there will be
26:05documents
26:06payments
26:06etc.
26:07all that
26:08could be
26:10and it must be
26:11visualized
26:12as a single
26:13process
26:13in fact
26:15in that fight
26:15we say
26:16procure to pay
26:17buy
26:18to pay
26:19this
26:20and the visualization
26:22comprehensive
26:23is the one that us
26:24allows
26:24then
26:25install the technology
26:26and add automation
26:28so that this
26:30may it be increasingly
26:31faster
26:31if this is faster
26:33What do I do with my time?
26:36No?
26:36then I say
26:37Well
26:37Maybe this person
26:39which is the one that has
26:40what to buy
26:41for our company
26:42Maybe you can do
26:43suggestions
26:44what to buy
26:46or who to buy from
26:47because he has more time
26:49then it can
26:50occupy time
26:51in research
26:52market
26:53It can take time
26:54in establishing
26:55other types of relationships
26:56can handle that
26:58achieve goals
26:59efficient purchasing
27:00that contribute
27:02to profitability
27:03cost reduction
27:04or whatever
27:05so
27:06the objective
27:07to visualize
27:08what I do
27:09as a process
27:11comprehensive business
27:12was
27:13That's how it was 50 years ago
27:16That's how it is today
27:18and it will continue
27:19therefore
27:20but I extend it
27:22And this is the great opportunity.
27:23that we have
27:24I extend it
27:25to the border
27:26It's not just
27:27the company
27:27It's not just
27:29as far as
27:30My collaborators are here
27:31and
27:32This communication
27:34with the world
27:35external
27:35Let's imagine a world
27:37where we can
27:37connect
27:38that process
27:39toward
27:40the companies
27:42who I buy from
27:43that process
27:44to the customers
27:45whom I serve
27:46therefore
27:47This is where
27:48it occurs
27:49I wish
27:50a possibility
27:51to increase
27:52this automation
27:54knows that with what you
27:55said
27:55the truth
27:56I imagined
27:57the process
27:57I imagined
27:58that journey
27:59that they call
28:01and indeed
28:02the person
28:02shopping
28:03For example
28:03on the spot
28:04where we
28:04we work
28:05could take
28:05decisions
28:06more strategic
28:06and not them
28:07of the operation
28:08of the day-to-day
28:08He's absolutely right.
28:10well Claudia
28:11thank you
28:12thank you so much
28:13we talk about
28:13artificial intelligence
28:14actually applied
28:15to daily life
28:16because that's what
28:17sometimes we don't notice
28:18people
28:19please
28:19stop asking him
28:20things like
28:21They asked Google
28:2210 years ago
28:22Use your intelligence
28:24artificial
28:24to create agents
28:25because the agents
28:26They solve his life.
28:26or not
28:38Claudia
28:39free on YouTube
28:40which is the one that
28:40You can see it in the video
28:41and it also has
28:42a text version
28:43written for our
28:45subscribers
28:45See you next time!
28:47see you soon
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