쉐도잉 연습: How AI is helping brands identify consumer trends faster - 영상으로 영어 말하기 배우기

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When you go grocery shopping, how do you decide which products to buy, especially when there's so much choice?

Maybe it's how the product is packaged, or the ingredients, or maybe you've bought it before and it tastes great.

Finding ways to attract consumers to packaged goods is the role of the global market research industry, worth an estimated $88 billion in 2024.

The industry is expected to grow by By another $15 billion in the next four years, with artificial intelligences rise one of the major contributing factors.

One company hoping to lead that disruption is AI palette.

So AI palette helps the consumer package good companies to create products which their consumers will love.

For example, a company wants to launch a new juice in a market like Thailand.

Our platform will tell them what kind of juice they should launch,

along with how they should position it so that it is successful in the market.

And we do

that using the power of artificial intelligence by analyzing the big data around food to identify what are the latest trends.

Before co -founding AI Palette, Samsubra Gan Chowdhury worked in the fast -moving consumer goods industry

and worked closely with some of the world's largest consumer packaged goods companies.

The challenge that they always have is

that consumer preferences are changing faster than ever before

and they are not able to keep up or to understand and predict what will be popular say one year from now.

That's when I first came across AI and machine learning.

As I learned more about it, it became quite obvious to me that it's just a matter of time before AI impacts every industry.

As AI development gathers pace, so does interest from investors.

Venture capital firm 500

Global invests in entrepreneurs who they believe are building game -changing companies.

We caught up with them at Singapore Innovation Conference Switch.

Younger entrepreneurs that we're investing in, companies are being rebuilt with AI in mind.

It can, in an exponential fashion, reduce costs associated with day -to -day business activity

that otherwise takes up a lot of time and requires a lot of people.

One of the areas that we looked at was in the space of marketing, product design and creation, product research.

Get to the market faster with more confidence that the product that you launch will be successful in the market.

So today, for the companies to launch a product, it takes one to two years.

And by the time they launch the product into the market, the consumer preferences would change significantly.

Because the way it is done traditionally is by talking to a small sample of people, not only representative of that particular market.

It only tells you the trends of today.

AI Palette was founded in Singapore in 2018, and its AI platform has been up and running for the past four years.

Its clients include major food and beverage brands Diageo, Nestle and PepsiCo, as well as Simrise,

a company that works with brands to manufacture ingredients and products in taste, nutrition, health, scent and care.

AI Palette knows very well the needs of companies like Simrise,

so the platform, the capabilities are set up and established in the way

that we would want to use them is very user -friendly.

Data is pulled from many multiple different sources, so from social media, from online menus,

from product data that is online, and this is something that's of a key need for a company like Simrise, that we're able to, let's say,

easily synthesize what is happening in the marketplace and then interpret

that and have an outcome that we can then present to our customers.

consumer brand like Pringles they used our platform to understand the preferences for snacks across four different markets

South Korea and Australia which are very matured and developed markets

and then we have developing markets Thailand Indonesia

so our AI helped them to understand flavor trends and this is

that they launched quite a few products into the market

AI palette has a three -pronged approach to its cross -sectional forecasting

which includes 39 different factors to predict the future trajectory of a trend.

So a trend would start in Sequoia, and it will come to Thailand, and that will go to Indonesia and Philippines.

The other influences are in terms of like cross -category influence.

So for example, like alcoholic beverages as a category takes a lot of inspiration from non -alcoholic beverages.

And the final one is the generative AI, which helps us to create product concepts,

incorporating the latest consumer trends and in a language which would resonate better with the consumers.

What AI Pallet provides for us we could not do before, so it is something new.

We still do traditional consumer research also.

If the decision is a significant one, a large investment, we would also go back to the very same consumers and ask questions of them.

Here in the labs behind me, we still have to taste the product because artificial intelligence cannot do that yet.

Our job is not to replace the humans, but to make the lives of the humans better so

that they can do their job faster and with a lot more confidence.

The ground in AI is shifting very quickly.

The technology advances at light speed with every few months that go by.

This creates a lot of opportunities for startups to create

because this uncertain ground is fertile for innovation but it also presents risks.

We look at companies that are building resilient solutions.

They're tackling big problems that no one is maybe looking at right now or have an innovative way to actually solve.

So we think that ground is very, very right.

It's often an overlooked area.

So companies like AI Palette that take on a very specific sector, those are exactly the kind of companies that we like.

Along with VC investors, AI Palette has had the backing of the Singapore government,

which is committing more than three quarters of a billion dollars to AI development to strengthen its AI ecosystem.

What they really loved was that we are trying to disrupt a very large and a traditional industry like the CPG industry.

The companies are very traditional and there have not been much disruption.

The plan is to expand into other types of CPGs, be it home care and also maybe pet care.

We want to be synonymous with this particular category.

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “How AI is helping brands identify consumer trends faster”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: product, consumer, companies, palette, trend. 이 영상에는 섀도잉할 문장 54개와 단어 1082개가 있습니다. 말하는 구간의 길이는 6:34입니다. 화자는 분당 약 165단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 단어의 83%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
palette 명사	/ˈpælɪt/	팔레트
package 명사	/ˈpæk.ɪd͡ʒ/	짐, 꾸러미
artificial 형용사	/ˌɑː.tɪˈfɪʃ.əl/	인공, 인조
preference 명사	/ˈpɹɛf(ə)ɹ(ə)ns/	선택
beverage 명사	/ˈbɛv(ə)ɹɪd͡ʒ/	음료, 음료수
juice 명사	/d͡ʒuːs/	즙
innovation 명사	/ˌɪn.əˈveɪ.ʃən/	혁신
predict 동사	/pɹɪˈdɪkt/	예언하다, 예측하다
entrepreneur 명사	/ˌɑn.tɹə.pɹəˈnɝ/	기업가, 기업인
investor 명사	/ɪnˈvɛs.tə(ɹ)/	투자자
alcoholic 명사	/ˌæl.kəˈhɔ.lɪk/	알코올 중독자
ingredient 명사	/ɪnˈɡɹiːdi.ənt/	성분
solve 동사	/sɒlv/	해결하다
inspiration 명사	/ˌɪn.spɪˈɹeɪ.ʃən/	흡입, 들이쉬기
associate 명사	/əˈsoʊʃi.ət/	제휴자, 조합원

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	is packaged · is expected · was founded
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	you've bought · has been · has had

주의할 발음

화자는 we're, they're, you've 같은 축약형과 약화된 형태를 4번 사용합니다. 들리는 대로 짧게 발음하세요.

“th” 소리: gather /ˈɡæðɚ/, strengthen /ˈstɹɛŋ(k)θən/, synthesize /ˈsɪnθəsaɪz/
“sh”와 “zh” 소리: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/, inspiration /ˌɪn.spɪˈɹeɪ.ʃən/
긴 단어 — 강세 위치에 주의: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, alcoholic /ˌæl.kəˈhɔ.lɪk/, ingredient /ɪnˈɡɹiːdi.ənt/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: artificial /ˌɑː.tɪˈfɪʃ.əl/, preference /ˈpɹɛf(ə)ɹ(ə)ns/, forecast /ˈfɔːkɑːst/, flavor /ˈfleɪvə/, fertile /ˈfɝːtəl/
/v/ — ㅂ(/b/)과 구별하기: beverage /ˈbɛv(ə)ɹɪd͡ʒ/, innovation /ˌɪn.əˈveɪ.ʃən/, invest /ɪnˈvɛst/, investor /ɪnˈvɛs.tə(ɹ)/, solve /sɒlv/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: analyze /ˈæn.əˌlaɪz/, resilient /ɹɪˈzɪl.jənt/, resonate /ˈɹɛz.əˌneɪt/, synthesize /ˈsɪnθəsaɪz/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, palette, package, artificial 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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쉐도잉 연습: How AI is helping brands identify consumer trends faster - 영상으로 영어 말하기 배우기

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