Prática de Shadowing: Why Abu Dhabi Wants to Export Energy AI - Aprenda a falar inglês com vídeo
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The energy sector helped build Abu Dhabi.
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Now the Emirate is betting on AI to help build its future.
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Problems that used to take geoscientists weeks and months to do, now we're able to do it in 45 minutes.
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At AIQ, that means using artificial intelligence to make one of the world's most complex industries more productive, more predictive, and more efficient.
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Well, this is where the real magic happens.
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This is where the real intelligence is actually built.
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We take a closer look at how AIQ is putting that vision to work.
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AIQ was launched in 2020 to help accelerate the energy industry's adoption of artificial intelligence.
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The company uses AI to optimize drilling, production, and maintenance by analyzing operational data in real time.
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Its edge comes from developing and testing AI inside Adnok, the UEE's state -owned oil giant, before scaling those solutions to customers around the world.
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The company is jointly owned by Adnok and Presite, an Abu Dhabi -based AI and data analytics company that emerged from the G42 technology group.
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AIQ says its goal is to improve the safety
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and efficiency of energy operations and has ambitions to export UAE -developed AI to energy markets around the world.
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We've been around for six years now.
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What started off as this bold vision to transform the energy industry with AI, we've since done about 200 AI use cases.
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We've productized 14 of them.
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Today we're in 25 % of ad -nox wells, we're in 20 % of their reservoirs, we're 100 % of their hell of a journey.
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So take me back to 2020 and what's the biggest problem that this entity is trying to solve?
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When we were formed, it was really to accelerate the development and deployment of AI to the energy systems.
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The idea was taking the infrastructure that we had with G42
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and pre -site and the sovereign infrastructure we had to go with the data
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and actually build models to solve problems in the industry.
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We were out there trying to make our energy systems and transform them and become more productive.
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AIQ's tools span the energy value chain, from subsurface exploration and drilling, to production, maintenance and safety.
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But AIQ is still a young company in an industry built on caution.
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In energy, trust matters as much as technology.
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Its challenge is not just to build AI tools, but to prove they can work safely, reliably and at scale inside live operations.
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Let's get down to brass tacks here.
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How exactly does AIQ make money?
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Well, through several ways.
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I mean, we've got our professional services, but we've also built products that we can license, the deployment of those products,
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and then of course the maintenance support moving forward for those products.
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And so walk me through those products in particular.
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You mentioned there's about 200 individual use cases today.
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What is the most significant among those use cases and what exactly is it doing?
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It's evolved since the inception of AIQ.
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And we think about AI people started talking about in 2016, 2018.
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So in 2020, we started building this bold vision, which were a bunch of point solutions.
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2025, it was really about agentic AI and agentic solutions.
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A new force is transforming energy, smarter decisions, and endless possibilities.
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I'm approaching the receiver.
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We announced our first of its kind, large scale, Gentic AI with Energy AI.
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We've taken over 1 .1 million documents
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and we've been able to take workflows within the subsurface
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and actually solve problems that used to take geoscientists weeks and months to do.
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Now we're able to do it in 45 minutes.
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So we built solutions, everything from the boardroom to the control room.
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So across that value chain in the industry.
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And when you go and have conversations with CEOs in the industry or you're speaking to these companies,
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potential clients, how receptive are they to Abu Dhabi AI?
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Well, I think they are very receptive to AI in general.
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I mean, whether it comes from Abu Dhabi or elsewhere, I think one of our biggest differentiators is Abu Dhabi AI is
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that we've been able to take this infrastructure that we've got here through our G42 all the way with the AdNoc data.
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And we've been able to build models around that.
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Many of our competitors talk about being able to theoretically build these models with physics models,
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but they don't have the real -time data that we've got.
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And we've had some of these models in the systems for over six years.
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So when we talk to these CEOs, we talk about that we've done it.
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These are proven technology that we can put in their systems.
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And in the industrial world that we live in, in the energy sector,
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you can't really mess with some of these wells that are producing wells with what you own theoretically can do.
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It has to be what you've done.
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Just characterize it for me.
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How transformative has AI been to the energy industry?
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Gosh, I mean, I think we're just scratching the surface.
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I think it's been quite significant.
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Our ability to help our customers analyze, visualize, and decide, or whether it's automating wells.
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We really focus on three different things at AIQ.
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One is autonomous operations.
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We want to make sure
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that we can keep people as far away from the well sites as possible
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because that's going to make everything a lot more safe.
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We think about subsurface solving problems, you know, underground what we cannot see.
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And then of course the physical intelligence where we want to connect the digital world with the physical world in real time.
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As AI becomes more embedded in critical energy infrastructure,
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protecting sensitive operational data is becoming just as important as improving performance.
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When we think about data sovereignty, we think about our customers' data.
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And for us, data sovereignty sits within our customer's tenant, which is within our G42,
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Core 42 infrastructure, or within our tenant, which also sits within that national sovereign cloud that we've got.
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So that's really the way we think about data.
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And we think about data wherever our customers store that data.
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We never take data out of our customers' platforms to actually deliver what we need to deliver when it comes to models.
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How do you overcome the inevitable security question, though?
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And is that a challenge that you've seen being presented by CEOs that you speak with or those in the energy industry?
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Well, I think many in the energy industry would realize
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and understand that ADNOC is probably one of the most strict when it comes to cybersecurity, when it comes to security.
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And what we've proven in the last six years, that we can operate within that framework.
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So whatever challenges our customers have when it comes to cybersecurity,
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we believe that we've worked with some of the most strict and sovereign parameters that we've had to work with.
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So we know how to do it.
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And this idea of being interoperable is also important as you continue to scale globally, right?
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Absolutely.
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And our customers are sitting on different tech stacks.
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Some are using Amazon, some are using
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Microsoft, some want to use Tropic, others want to use OpenAI.
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So we're quite agnostic with what systems they'd like to use.
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For AIQ, the relationship between AI and energy runs both ways.
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As AI reshapes the energy industry, the industry's role in powering AI is becoming just as critical.
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We really believe that where there's AI, there's energy.
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Where there's energy, there'll be AI.
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We answer the AI for energy question, right?
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I mean, as the world needs more AI, what needs more energy, we want to make that energy system far more productive,
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far more efficient, far more safe, and far more sustainable.
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So that's really what we do.
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And our data centers, the new refineries.
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Yesterday, we were taking oil and gas, we were turning them into fuel and chemicals.
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And today we're taking oil and gas and putting them in data centers and turning them into electrons.
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So exporting it before we're through pipelines, now through the cloud and fiber optics.
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So that relationship between AI and energy continues to get closer and closer and continue to merge.
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When you cast your mind forward into some of the solutions
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that you think AIQ will be able to deliver and provide across the energy industry in the years to come,
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what is the moonshot and what are you ultimately working towards?
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Well, what we're really shooting towards is really our customers have one mission and that's really,
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the extraction and sale of the products, the oil and gas products.
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So what we'd like to do is be able to solve the entire value chain optimization problem, whether it's which wells to shut off,
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which ones to turn on, which ones to optimize, and be able to do it more efficiently
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and be able to shoot down the other side of that pipeline.
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The lowest cost per barrel is really what our moonshot is.
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I myself have been out on an Adnock platform
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and it's incredible to see the level of autonomation that's taking place in real time across this industry.
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Do you see a future
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when one day perhaps we might be able to completely eliminate human interaction on physical rigs moving forward?
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Everything we do is, I believe, just because of the world that we live in is going to always augment the human capability.
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And we'd like to automate as much as possible.
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But I believe that we need to minimize the human capability, but we want to be able to produce more.
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We want to be able to make it a safer place.
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But our goal is never to eliminate the human because at the end of the day, these are big decisions that need to be made.
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And as you see out there.
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I mean, it's still.
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quite mechanical out there and there's a lot of moving parts
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and pieces and we're always going to need a human in the loop.
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Abu Dhabi -based AIQ is part of the UEE's wider push to become a global leader in artificial intelligence.
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Under the country's AI Strategy 2031, AI is being deployed across key sectors including energy.
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AIQ's advantage has been built at home inside state -owned oil company Atnox Operations and Abu Dhabi's digital infrastructure.
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The next question is how well that model travels.
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The company says it's now testing that internationally with pilot projects and partnerships underway in markets including Colombia,
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Kazakhstan, Oman and Indonesia.
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Are there any new markets that you're looking at getting involved in right now?
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North American market, the US and Canada, we're looking in Europe and then the global south and Australia.
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Are you finding that there's a lot of competition in the sector right now to try
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and adopt this technology first or fastest?
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Yeah, it's quite fragmented.
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I mean, they always say that it reminds me a lot of the ERP race of the 1990s, right?
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I mean, some folks would give their business to the Microsofts of the world
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and others were giving it to SAP and others were giving it to startups.
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But you got customers that are trying to do it themselves.
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So we find ourselves competing with customers that want to do it themselves.
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And then everyone that has been forced by their board to get into the AI business, all the way through to new players and startups with,
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you know, five to 12 people, you know, in the company.
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So, you know, it's a competitive business.
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And at the end of the day, I think that, you know,
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this race is going to end the same way where there's going to be a few big players at the end.
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And I think that we believe that AIQ will be one of them.
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When you look at what the UAE is doing, leading in this space.
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Do you see the UAE in the future perhaps being a net exporter of artificial intelligence into the future?
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I think you're already seeing it.
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I mean, when you look at, I mean, you know, our parent, you know, Preside, they're already exporting this technology and helping a lot of,
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you know, governments with a lot of the smart city, smart government solutions with infrastructure solutions.
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So you're already looking at a lot of the ecosystem companies in Abu Dhabi exporting that technology.
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For many years, we were importing a lot of technologies here in the UAE to work, whether in our government sector,
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with our financial sector, our health sector.
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When you look at today what we're doing here in Abu Dhabi, we're building this technology here and we're exporting it to the world.
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More than a year into the role as AIQ's CEO, Joel says it has been a steep learning curve,
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even for someone who has spent two decades working in the UAE's energy industry.
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I didn't start off as a tech CEO.
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I spent the last 20 years in the industry here in
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the UAE working with the energy systems in one of the most commoditized businesses.
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But whether it's AI or a commodity product like pipe bells and fittings,
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I believe that when you can prove to a customer you're either going to save the money or make the money,
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it's really value selling is what you do.
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What would you say is the biggest difficulty that you've faced so far?
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Really trying to get our customers to understand what AI is and how it can truly transform the industry.
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I think when you think about transformation, it really makes you think about roles in industry, roles in company.
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I always like to use the example of Uber, right?
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I mean, when you think about Uber transforming the transportation industry,
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you know, you can't really ask the taxi driver on what kind of tools they need.
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So I think when you think about transforming this industry, it's really, you know, collaborating internally and externally.
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And we believe here at AIQ, collaboration is acceleration.
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And how would you characterize your own leadership style?
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Well, I think that, you know, a lot of what I picked up in my previous companies was accountability, integrity, and fun.
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Why is fun important as a leadership style?
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Well, I think that in the fast race that AI is in,
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and, you know, we got folks that don't sleep at night programming and coding in the startup world that we're in,
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we've got to make sure that we love what we do.
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I always tell our folks that if they've got
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that Sunday night gut check and actually toss and turn to go to work on Monday, I think you're in the wrong job.
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And so I think fun is probably the most important thing
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and allow everybody to get up every morning and do what they want to do.
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What gets you out of bed in the morning?
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All the above, right?
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I mean, ultimately for me, it's the real challenge.
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And right now, the challenge of AI, the challenge of going out there and proving to the world
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that these solutions that we've created in Abu Dhabi is truly valuable.
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And I think that that and making a difference is really what gets me awake in the morning and gets me going.
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Thank you.
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Vocabulário e dicas de fala para esta lição
Esta aula de conversação usa o vídeo “Why Abu Dhabi Wants to Export Energy AI”. As palavras que mais se repetem: energy, industry, Aiq, customer, Abu. Este vídeo tem 77 frases e 2573 palavras para praticar shadowing. A fala dura 14:57. O falante fala em ritmo natural, cerca de 172 palavras por minuto, próximo de uma conversa do dia a dia. 85% das palavras estão entre as 3.000 mais comuns do inglês; vale a pena estudar o restante antes de começar. 22 das 77 frases são perguntas, por isso é um bom treino para a entonação de perguntas e respostas curtas.
Vocabulário principal deste vídeo
15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:
| Palavra | Pronúncia | Significado |
|---|---|---|
| infrastructure substantivo | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infraestrutura |
| export substantivo | /ˈɛks.pɔɹt/ | exportado |
| transform verbo | /tɹænsˈfɔɹm/ | transformar |
| solve verbo | /sɒlv/ | resolver, solucionar |
| artificial adjetivo | /ˌɑː.tɪˈfɪʃ.əl/ | artificial |
| folk substantivo | /foʊk/ | povo |
| productive adjetivo | /pɹəˈdʌk.tɪv/ | produtivo |
| drill substantivo | /dɹɪl/ | furadeira, berbequim |
| sovereign substantivo | /ˈsɑv(ə)ɹɪn/ | suserano, soberano |
| startup substantivo | /ˈstɑɹtˌʌp/ | inicialização, arranque |
| cloud substantivo | /ˈklaʊ̯d/ | nuvem, nimbo |
| efficient adjetivo | /ɪˈfɪʃənt/ | eficiente |
| bold adjetivo | /ˈbəʊld/ | corajoso, bravo |
| strict adjetivo | /stɹɪkt/ | apertado |
| eliminate verbo | /ɪˈlɪm.ɪ.neɪt/ | eliminar |
Phrasal verbs que você vai ouvir
| Palavra | Significado |
|---|---|
| get up verbo | subir |
| go out verbo | sair |
| move forward verbo | adiantar |
| take over verbo | tomar posse de, apoderar-se de |
Frases que vale a pena repetir
Frases curtas e completas do vídeo que você pode usar na conversa do dia a dia:
- Let's get down to brass tacks here.
- I think it's been quite significant.
- I think you're already seeing it.
- What gets you out of bed in the morning?
Gramática neste vídeo
As estruturas que o falante mais usa, com as palavras exatas do vídeo:
| Estrutura | No vídeo |
|---|---|
| “Used to” used to + verbo — um hábito ou estado do passado que não é mais verdade | used to take |
| Present perfect have/has + particípio passado — uma ação passada que ainda importa agora | We've been · We've productized · we've also built |
| Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz | is actually built · was launched · were formed |
| Orações relativas who / which + oração — informação extra sobre uma pessoa ou coisa | vision, which were · tenant, which is · someone who has |
Pronúncia para ficar de olho
O falante usa 53 contrações e formas reduzidas, como we've, we're, you're. Diga-as na forma curta, do jeito que você ouve.
- Os sons de “sh” e “zh”: artificial /ˌɑː.tɪˈfɪʃ.əl/, efficient /ɪˈfɪʃənt/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/, partnership /ˈpɑɹtnɚʃɪp/, efficiency /ɪˈfɪʃ.ən.si/
- Palavras longas — acerte a sílaba tônica: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, artificial /ˌɑː.tɪˈfɪʃ.əl/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/, eliminate /ɪˈlɪm.ɪ.neɪt/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/
Sons difíceis para falantes de português:
- Consoante final — sem acrescentar um “i” depois: export /ˈɛks.pɔɹt/, folk /foʊk/, startup /ˈstɑɹtˌʌp/, cloud /ˈklaʊ̯d/, efficient /ɪˈfɪʃənt/
- /l/ final — a língua toca o céu da boca, não vira “u”: artificial /ˌɑː.tɪˈfɪʃ.əl/, drill /dɹɪl/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/, mechanical /məˈkænəkəl/, sustainable /səˈsteɪnəbəl/
- s + consoante no início — sem um “i” antes: startup /ˈstɑɹtˌʌp/, strict /stɹɪkt/, spin /spɪn/, scratch /skɹæt͡ʃ/, stack /stæk/
Como praticar com este vídeo
- Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
- Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
- Grave a sua voz e compare com o original, prestando atenção a palavras como infrastructure, export, transform.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.