ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Why Abu Dhabi Wants to Export Energy AI

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195 ประโยค

หากประโยคสั้นหรือยาวเกินไป กดที่ Edit เพื่อปรับแก้

The energy sector helped build Abu Dhabi.

Now the Emirate is betting on AI to help build its future.

Problems that used to take geoscientists weeks and months to do, now we're able to do it in 45 minutes.

At AIQ, that means using artificial intelligence to make one of the world's most complex industries more productive, more predictive, and more efficient.

Well, this is where the real magic happens.

This is where the real intelligence is actually built.

We take a closer look at how AIQ is putting that vision to work.

AIQ was launched in 2020 to help accelerate the energy industry's adoption of artificial intelligence.

The company uses AI to optimize drilling, production, and maintenance by analyzing operational data in real time.

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.

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.

AIQ says its goal is to improve the safety

and efficiency of energy operations and has ambitions to export UAE -developed AI to energy markets around the world.

We've been around for six years now.

What started off as this bold vision to transform the energy industry with AI, we've since done about 200 AI use cases.

We've productized 14 of them.

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.

So take me back to 2020 and what's the biggest problem that this entity is trying to solve?

When we were formed, it was really to accelerate the development and deployment of AI to the energy systems.

The idea was taking the infrastructure that we had with G42

and pre -site and the sovereign infrastructure we had to go with the data

and actually build models to solve problems in the industry.

We were out there trying to make our energy systems and transform them and become more productive.

AIQ's tools span the energy value chain, from subsurface exploration and drilling, to production, maintenance and safety.

But AIQ is still a young company in an industry built on caution.

In energy, trust matters as much as technology.

Its challenge is not just to build AI tools, but to prove they can work safely, reliably and at scale inside live operations.

Let's get down to brass tacks here.

How exactly does AIQ make money?

Well, through several ways.

I mean, we've got our professional services, but we've also built products that we can license, the deployment of those products,

and then of course the maintenance support moving forward for those products.

And so walk me through those products in particular.

You mentioned there's about 200 individual use cases today.

What is the most significant among those use cases and what exactly is it doing?

It's evolved since the inception of AIQ.

And we think about AI people started talking about in 2016, 2018.

So in 2020, we started building this bold vision, which were a bunch of point solutions.

2025, it was really about agentic AI and agentic solutions.

A new force is transforming energy, smarter decisions, and endless possibilities.

I'm approaching the receiver.

We announced our first of its kind, large scale, Gentic AI with Energy AI.

We've taken over 1 .1 million documents

and we've been able to take workflows within the subsurface

and actually solve problems that used to take geoscientists weeks and months to do.

Now we're able to do it in 45 minutes.

So we built solutions, everything from the boardroom to the control room.

So across that value chain in the industry.

And when you go and have conversations with CEOs in the industry or you're speaking to these companies,

potential clients, how receptive are they to Abu Dhabi AI?

Well, I think they are very receptive to AI in general.

I mean, whether it comes from Abu Dhabi or elsewhere, I think one of our biggest differentiators is Abu Dhabi AI is

that we've been able to take this infrastructure that we've got here through our G42 all the way with the AdNoc data.

And we've been able to build models around that.

Many of our competitors talk about being able to theoretically build these models with physics models,

but they don't have the real -time data that we've got.

And we've had some of these models in the systems for over six years.

So when we talk to these CEOs, we talk about that we've done it.

These are proven technology that we can put in their systems.

And in the industrial world that we live in, in the energy sector,

you can't really mess with some of these wells that are producing wells with what you own theoretically can do.

It has to be what you've done.

Just characterize it for me.

How transformative has AI been to the energy industry?

Gosh, I mean, I think we're just scratching the surface.

I think it's been quite significant.

Our ability to help our customers analyze, visualize, and decide, or whether it's automating wells.

We really focus on three different things at AIQ.

One is autonomous operations.

We want to make sure

that we can keep people as far away from the well sites as possible

because that's going to make everything a lot more safe.

We think about subsurface solving problems, you know, underground what we cannot see.

And then of course the physical intelligence where we want to connect the digital world with the physical world in real time.

As AI becomes more embedded in critical energy infrastructure,

protecting sensitive operational data is becoming just as important as improving performance.

When we think about data sovereignty, we think about our customers' data.

And for us, data sovereignty sits within our customer's tenant, which is within our G42,

Core 42 infrastructure, or within our tenant, which also sits within that national sovereign cloud that we've got.

So that's really the way we think about data.

And we think about data wherever our customers store that data.

We never take data out of our customers' platforms to actually deliver what we need to deliver when it comes to models.

How do you overcome the inevitable security question, though?

And is that a challenge that you've seen being presented by CEOs that you speak with or those in the energy industry?

Well, I think many in the energy industry would realize

and understand that ADNOC is probably one of the most strict when it comes to cybersecurity, when it comes to security.

And what we've proven in the last six years, that we can operate within that framework.

So whatever challenges our customers have when it comes to cybersecurity,

we believe that we've worked with some of the most strict and sovereign parameters that we've had to work with.

So we know how to do it.

And this idea of being interoperable is also important as you continue to scale globally, right?

Absolutely.

And our customers are sitting on different tech stacks.

Some are using Amazon, some are using

Microsoft, some want to use Tropic, others want to use OpenAI.

So we're quite agnostic with what systems they'd like to use.

For AIQ, the relationship between AI and energy runs both ways.

As AI reshapes the energy industry, the industry's role in powering AI is becoming just as critical.

We really believe that where there's AI, there's energy.

100

Where there's energy, there'll be AI.

101

We answer the AI for energy question, right?

102

I mean, as the world needs more AI, what needs more energy, we want to make that energy system far more productive,

103

far more efficient, far more safe, and far more sustainable.

104

So that's really what we do.

105

And our data centers, the new refineries.

106

Yesterday, we were taking oil and gas, we were turning them into fuel and chemicals.

107

And today we're taking oil and gas and putting them in data centers and turning them into electrons.

108

So exporting it before we're through pipelines, now through the cloud and fiber optics.

109

So that relationship between AI and energy continues to get closer and closer and continue to merge.

110

When you cast your mind forward into some of the solutions

111

that you think AIQ will be able to deliver and provide across the energy industry in the years to come,

112

what is the moonshot and what are you ultimately working towards?

113

Well, what we're really shooting towards is really our customers have one mission and that's really,

114

the extraction and sale of the products, the oil and gas products.

115

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,

116

which ones to turn on, which ones to optimize, and be able to do it more efficiently

117

and be able to shoot down the other side of that pipeline.

118

The lowest cost per barrel is really what our moonshot is.

119

I myself have been out on an Adnock platform

120

and it's incredible to see the level of autonomation that's taking place in real time across this industry.

121

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?

123

Everything we do is, I believe, just because of the world that we live in is going to always augment the human capability.

124

And we'd like to automate as much as possible.

125

But I believe that we need to minimize the human capability, but we want to be able to produce more.

126

We want to be able to make it a safer place.

127

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.

130

quite mechanical out there and there's a lot of moving parts

131

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.

135

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

141

and adopt this technology first or fastest?

142

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?

144

I mean, some folks would give their business to the Microsofts of the world

145

and others were giving it to SAP and others were giving it to startups.

146

But you got customers that are trying to do it themselves.

147

So we find ourselves competing with customers that want to do it themselves.

148

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,

149

you know, five to 12 people, you know, in the company.

150

So, you know, it's a competitive business.

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And at the end of the day, I think that, you know,

152

this race is going to end the same way where there's going to be a few big players at the end.

153

And I think that we believe that AIQ will be one of them.

154

When you look at what the UAE is doing, leading in this space.

155

Do you see the UAE in the future perhaps being a net exporter of artificial intelligence into the future?

156

I think you're already seeing it.

157

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,

158

you know, governments with a lot of the smart city, smart government solutions with infrastructure solutions.

159

So you're already looking at a lot of the ecosystem companies in Abu Dhabi exporting that technology.

160

For many years, we were importing a lot of technologies here in the UAE to work, whether in our government sector,

161

with our financial sector, our health sector.

162

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.

163

More than a year into the role as AIQ's CEO, Joel says it has been a steep learning curve,

164

even for someone who has spent two decades working in the UAE's energy industry.

165

I didn't start off as a tech CEO.

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I spent the last 20 years in the industry here in

167

the UAE working with the energy systems in one of the most commoditized businesses.

168

But whether it's AI or a commodity product like pipe bells and fittings,

169

I believe that when you can prove to a customer you're either going to save the money or make the money,

170

it's really value selling is what you do.

171

What would you say is the biggest difficulty that you've faced so far?

172

Really trying to get our customers to understand what AI is and how it can truly transform the industry.

173

I think when you think about transformation, it really makes you think about roles in industry, roles in company.

174

I always like to use the example of Uber, right?

175

I mean, when you think about Uber transforming the transportation industry,

176

you know, you can't really ask the taxi driver on what kind of tools they need.

177

So I think when you think about transforming this industry, it's really, you know, collaborating internally and externally.

178

And we believe here at AIQ, collaboration is acceleration.

179

And how would you characterize your own leadership style?

180

Well, I think that, you know, a lot of what I picked up in my previous companies was accountability, integrity, and fun.

181

Why is fun important as a leadership style?

182

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.

185

I always tell our folks that if they've got

186

that Sunday night gut check and actually toss and turn to go to work on Monday, I think you're in the wrong job.

187

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?

190

All the above, right?

191

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.

194

And I think that that and making a difference is really what gets me awake in the morning and gets me going.

195

Thank you.

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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้

บทเรียนฝึกพูดนี้ใช้วิดีโอ “Why Abu Dhabi Wants to Export Energy AI” เป็นสื่อ คำที่ถูกพูดซ้ำบ่อยที่สุด: energy, industry, Aiq, customer, Abu วิดีโอนี้มี 77 ประโยค และ 2573 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 14:57 ผู้พูดพูดด้วยความเร็วเป็นธรรมชาติ ประมาณ 172 คำต่อนาที ใกล้เคียงกับบทสนทนาในชีวิตประจำวัน 85% ของคำอยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ ส่วนที่เหลือควรดูไว้ก่อนเริ่มฝึก จากทั้งหมด 77 ประโยค มี 22 ประโยคเป็นคำถาม จึงเหมาะสำหรับฝึกน้ำเสียงประโยคคำถามและการตอบสั้น ๆ

คำศัพท์สำคัญในวิดีโอนี้

คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:

คำศัพท์	คำอ่าน	ความหมาย
infrastructure คำนาม	/ˈɪnfɹəˌstɹʌkt͡ʃə/	โครงสร้างพื้นฐาน
export คำนาม	/ˈɛks.pɔɹt/	การส่งออก
solve คำกริยา	/sɒlv/	แก้, แก้ไข
artificial คำคุณศัพท์	/ˌɑː.tɪˈfɪʃ.əl/	เทียม
drill คำนาม	/dɹɪl/	สว่าน
cloud คำนาม	/ˈklaʊ̯d/	เมฆ
sovereignty คำนาม	/ˈsɑv(ə)ɹənti/	อธิปไตย
analyze คำกริยา	/ˈæn.əˌlaɪz/	วิเคราะห์
accelerate คำกริยา	/ɪkˈsɛl.əˌɹeɪt/	เร่ง
compete คำกริยา	/kəmˈpiːt/	แข่ง, แข่งขัน
physics คำนาม	/ˈfɪz.ɪks/	ฟิสิกส์
connect คำกริยา	/kəˈnɛkt/	เชื่อม, ต่อ
efficiency คำนาม	/ɪˈfɪʃ.ən.si/	ประสิทธิภาพ
spin คำกริยา	/spɪn/	หมุน, ปั่น
remind คำกริยา	/ɹəˈmaɪnd/	เตือน

กริยาวลีที่คุณจะได้ยิน

คำศัพท์	ความหมาย
get up คำกริยา	ลุก
go out คำกริยา	ออก, ออกไป

ประโยคที่ควรฝึกพูดซ้ำ

ประโยคสั้น ๆ ที่สมบูรณ์จากวิดีโอ ซึ่งนำไปใช้ในบทสนทนาประจำวันได้:

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?

ไวยากรณ์ในวิดีโอนี้

โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:

โครงสร้าง	ในวิดีโอ
“used to” used to + กริยา — นิสัยหรือสภาพในอดีตที่ตอนนี้ไม่เป็นแล้ว	used to take
Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน	We've been · We've productized · we've also built
Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำ	is actually built · was launched · were formed
Relative clauses who / which + อนุประโยค — ข้อมูลเพิ่มเติมเกี่ยวกับคนหรือสิ่งของ	vision, which were · tenant, which is · someone who has

การออกเสียงที่ควรระวัง

ผู้พูดใช้รูปย่อและรูปลดเสียง 53 ครั้ง เช่น we've, we're, you're ให้พูดแบบสั้นตามที่ได้ยิน

เสียง “sh” และ “zh”: artificial /ˌɑː.tɪˈfɪʃ.əl/, efficient /ɪˈfɪʃənt/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/, partnership /ˈpɑɹtnɚʃɪp/, efficiency /ɪˈfɪʃ.ən.si/
คำยาว — ลงเสียงหนักให้ถูกพยางค์: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, artificial /ˌɑː.tɪˈfɪʃ.əl/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/, eliminate /ɪˈlɪm.ɪ.neɪt/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/

เสียงที่คนไทยมักออกเสียงยาก:

เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: solve /sɒlv/, artificial /ˌɑː.tɪˈfɪʃ.əl/, productive /pɹəˈdʌk.tɪv/, drill /dɹɪl/, operational /ˌɑ.pəˈɹeɪ.ʃə.nəl/
/v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: solve /sɒlv/, productive /pɹəˈdʌk.tɪv/, sovereign /ˈsɑv(ə)ɹɪn/, sovereignty /ˈsɑv(ə)ɹənti/, sensitive /ˈsɛn.sɪt.ɪv/
/z/ — เสียงก้อง ไม่ใช่ /s/: analyze /ˈæn.əˌlaɪz/, physics /ˈfɪz.ɪks/, reservoir /ˈɹɛz.ə(ɹ).vwɑɹ/, minimize /ˈmɪn.ɪˌmaɪz/, optimization /ˌɑptəmaɪˈzeɪʃən/

วิธีฝึกกับวิดีโอนี้

ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง infrastructure, export, solve เป็นพิเศษ

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →

ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Why Abu Dhabi Wants to Export Energy AI

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Scaramucci: Lutnick and Bessent have "Potomac fever" - and I had it too

How AI is helping brands identify consumer trends faster

Will robots take our jobs? | CNBC Explains

How South Korea’s AI Boom Is Spilling Into Housing

He Quit Banking to Sell Bubble Tea — Now It Makes Over $500 Million A Year

Inside The Hidden Bottleneck In The AI Chip Boom

Lab-grown meat is on the rise — here's how it is made

Why The AI Boom Is Reshuffling The Global Stock Market Hierarchy

What makes art so expensive? | CNBC Explains

David Beckham on Leadership, Legacy & Life Beyond Football

Why is Singapore so rich? | CNBC Explains

143 Investors Said No. Now WHOOP Is Worth $10 Billion

The problem of education inequality | CNBC Reports

Why Chinese Bubble Tea Chains Are Brewing Billions

Why Millionaires Are Moving To Italy

Why does Japan work so hard? | CNBC Explains

Why France’s Economy Is Stalling

Why is Switzerland home to so many billionaires?

Why food is getting more expensive for everyone

What Does an AI Engineer Do Now? - Aparna Dhinakaran, Arize AI

Expensive RTX 5090 for LLMs? NO. Use This Instead. (Tesla V100 SXM2 + Z8 G4, #RACERRRZ)

Harnessing generative AI in architecture, engineering & construction

Why the Arab World never united

No, Really — Is A.I. a Bubble? | The Ezra Klein Show

DPM Gan Kim Yong's Speech at the "Trust and AI: Navigating a World in Transition" Leaders Dialogue

AI Governance Explained: Ethical, Transparent & Accountable AI for the Future

Teacher to Teacher: Is AI reshaping education for the better?

DeepSeek R1 Explained in 2 Minutes

Alexandr Wang on what matters in an age of abundant intelligence

When AIs act emotional

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