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In today's episode, artificial

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intelligence in industry: where

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to start with what you already have.

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Hello, everyone. Once again, welcome

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to the XMACNA podcast. I'm

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Gustavo Fechus, once again here with

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my friend Daniel Valladares, whom I

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thank for being here with me so we can continue

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our discussions about the

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solutions we have nowadays

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developed here for different

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areas. One of them, recently, we’ve

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been working quite a lot in that

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development, related to the industrial

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sector, where we see a

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very broad field for possible

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applications—ways to maximize

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processes that can benefit from

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artificial intelligence as well in this

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moment of history, right, Daniel? So, what

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I’d like your input here,

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Daniel. Here’s the thing. We most

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often hear about

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AI and automation solutions for

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solving issues in customer service,

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support, sales, and after-sales services,

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basically, you know, the life of a

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SaaS, right? But I’m fully

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convinced and have proof that we

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can also start looking at other

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applications supported by AI that serve

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other purposes, other problems,

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right? And we already have real experiences

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in this direction too. Tell me

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a bit about where you would like to

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start, so that eventually those who

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listen to us and are experiencing the industry in

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its multiple aspects, right? How can we

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inspire and guide people

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to also look for solutions

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with and based on AI for this segment.

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>> Perfect. Here we go. One thing that

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I find really curious is that when I

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am talking with someone sometimes,

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about various topics,

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and the person tells me: "Wow, I have a

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problem at my company that is

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like this, like that, then I say: "Look,

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did you know this can be solved with

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AI?" And the person is like, really?

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So, one thing I see is that

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when we start thinking

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not just as a chat where you go

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there, type a message and wait

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for a response, but as we start to see

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artificial intelligence as a

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huge brain with an enormous

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capacity for processing

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data, that will support decision-making,

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and can really

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before they become decisions and actions already

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by artificial intelligence itself.

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Yeah, we're starting to move into a world

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where we're brought into this

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artificial intelligence with some

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peripherals

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that are going to give it

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powers and new inputs, new

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possibilities to capture

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information, right? So let's

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take a look first, before we move into the

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industrial environment or any other

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other environment. Think about this: here

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in São Paulo, we have a project

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called Smart Sampa, which is a

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project that's been talked about a lot

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in the mainstream media, and I'll use it

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as an example because it's public knowledge

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I think it makes things easier.

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But what is Smart Sampa? MSPA is a

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series of cameras spread across the

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city, right? These cameras are, in a way,

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connected to an artificial intelligence

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system that will do things like

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facial recognition, that will

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identify accidents, and so on. I'll

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even give you an example that happened to

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my wife. She was on a highway

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here in São Paulo, coming back home.

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A truck hit the back of her car

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She spun out, right? And shortly after that,

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the support team was already there,

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thank God, she's okay, alright, guys?

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So, just to not leave you in suspense,

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while we're talking, everything is fine now.

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This was some time ago, but the point is, shortly

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after the accident, the support team

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from the highway itself was already at the

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scene to provide her with the assistance she

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needed, check the car, etc., right?

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They towed the car away, removed it

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from the middle of the highway.

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Without her having to make a call. Is

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that it?

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She didn't have to make a call. The

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there was someone who saw it, right, a

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witness who saw it and was calling

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the police, but the support team got there

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before anyone had, you know, not

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necessarily because of that call,

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and they said it's because of their

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control center, which detects

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the camera picked up what happened,

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and immediately dispatched the team to the scene.

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So, imagine this when we

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talk about a city, right? Maybe those who are

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watching us, Gustavo, are thinking: 'Oh,

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for a city hall with an unlimited

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budget, this is simple, right, to

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make an investment on this level.

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But, believe it or not, this is

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much closer to us and to

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companies than it seems, right? So today

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we have the ability to have this level

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of information and decision-making

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within an industry, for example,

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right? As we were even talking

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here before we started. And so, for

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example, if you take a factory that

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already has a monitoring system,

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and it already has cameras there, already

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has everything. So, if I connect this

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monitoring to a XMACNA brain, which is

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an artificial intelligence, and tell it

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like: 'Look, every time

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someone is without safety equipment,

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signal it, or every time

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a certain piece of equipment

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acts a certain way, flag it.'

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So today this is possible, right? And

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so, I think that when we talk about

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giant industries, we're

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talking about Petrobras, about companies

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with huge structures, oil platforms

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for example. This already

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exists, right? So, they already have

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drone surveillance, in the sense

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of checking, right? These days, people don't

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rappel down on an oil platform anymore,

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they send a drone to do it.

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Do a review there. We

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can now achieve this level of

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intervention in industries of any

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size, right? It's no longer a

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prohibitive investment, it's something that

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is really becoming more and more accessible,

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right, Gustavo? And so, where should we

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take the conversation? More in the

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sense of 'think about it.' And you who are

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watching, I invite you to

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leave in the comments which

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problems you would like to solve there

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in your business, and that you, no matter how

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complicated it seems, most

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likely we can find

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a solution that works, based on

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artificial intelligence, and that doesn't

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necessarily, and actually most

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likely won't touch your headcount,

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right? So no, we're not

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saying 'let's bring in a new team,'

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no, sometimes it's a solution that

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uses the resources you already have,

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adding a 'different brain,'

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and you get a result or a totally

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different behavior that could

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transform your operation, right?

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Yeah, and what catches my attention

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in what you said, Daniel, is the

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making use of the structure, right? Or

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That is, you gave an example of someone who

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already has a security camera, a

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monitoring system. We can

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work with what already exists

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and from there, develop and deliver

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more management, more information and,

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even preventive solutions, right?

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Preventive action applies to many

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processes. I just remembered also about

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another Fale Conosco system that we,

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another project, which is a Fale Conosco that

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we developed for a Fale

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Conosco that already existed. Anyway, it was done

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in a somewhat old-fashioned way, like the

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Aztecs and Mayans did in the past with

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their Fale Conosco. And we ended up

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dealing with a new work situation

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that

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absolutely takes into account the existing

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personnel structure and staff that already existed and

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that keeps existing, but we bring

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more operational efficiency. Anyway, the

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examples are plenty and the problems are

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also specific, right? So, each one

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who is here with us and listening,

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certainly lives a reality and

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even before we get to know it, we

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can confidently say that we

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can improve, can always help

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without needing to make a revolution.

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Let's say, it's, problematic, right, from the

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perspective of reuse, of

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using something that's already, familiar, right, to your

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operation. I, uh, I think this aspect,

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Gustavo, is where we need to

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actually focus more, right, which is

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exactly that, man. Sometimes the

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solution to your problem is already there, right, already

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already exists in your business. And it's curious

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because many times when people come to me

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here, the person often comes with the idea

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of, look, I need to change everything, right? And

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actually, it's much less like, look, let's

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change everything and let's take everything you

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have, throw it away and start over. It's

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Much less this than anything else.

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It's much more about looking at your structure,

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and saying: "Look, this here

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we just need to unplug it

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from socket one and plug it into socket two and it will already be

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working." It's always a much

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less drastic change than it actually seems,

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right? There's this thing about needing to change

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everything and not wanting to change anything, right? Both

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things are true, right?

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Exactly. No, and sometimes people think

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like this, I've seen many business owners

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procrastinating, sometimes the

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implementation of AI and so on, precisely because of

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this feeling of, wow, it's important,

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I know it is, I need to do it, but

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I'll have to change so many things that I

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keep putting it off, you know? And in

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reality, many times you don't need

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such a drastic change as you

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imagine, right? So, sometimes it's a

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small adjustment, and everything already flows

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better. So, it's worth it.

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And it's also part of it, right, Daniel,

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of our service, of our support,

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this consulting aspect, in the sense

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that you don't need to have all the

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ideas, like, let's talk together in the

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sense of understanding how things have been

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today. That's very important to us, it's

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part of our process. And from

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there we'll figure out what the

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first project is. The solution never

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comes all at once, right? It's not

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magic, it's a process. The process will

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inevitably change, but we

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build this together, even

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collectively, right? Exactly.

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Well, Daniel, I think our

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purpose here of talking a bit about

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different solutions for

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different processes as well, in this

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industry vertical, after already

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having worked a lot and

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continuing to work with the

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franchises, small and

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medium-sized companies,

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I think it's nice to give a

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sense to people of what we

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can do together in developing

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absolutely personalized

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solutions for endless problems,

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right? I think that's a good summary, isn't it?

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No

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That's it, it's a good summary. Now, you don't

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need to keep wondering how to do it,

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anyway, I know sometimes people

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watch our videos and say, "Okay,

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but what about my reality?" So,

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look, in the link below there will be a

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way for you to talk to us. Click

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there, schedule a chat with our

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team and we'll help you have the

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most down-to-earth ideas and also the most

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creative ones for those who are willing

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so we can take your

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operation to different levels. Thank you

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to you for staying with us until

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now and help us share this

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content with anyone else who might be

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interested in it. A hug and see you

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next time. Thanks,