シャドーイング練習: How AI is helping brands identify consumer trends faster - 動画で英語スピーキングを学ぶ

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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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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「How AI is helping brands identify consumer trends faster」を教材にしています。繰り返し出てくる語は次のとおりです：product, consumer, companies, palette, trend。この動画には、シャドーイング用の文が54文、単語が1082語あります。音声の長さは6:34です。話す速さは1分あたり約165語で、日常会話に近い自然なペースです。単語の83%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
palette 名詞	/ˈpælɪt/	パレット
package 名詞	/ˈpæk.ɪd͡ʒ/	包み, パケット
artificial 形容詞	/ˌɑː.tɪˈfɪʃ.əl/	人工の
preference 名詞	/ˈpɹɛf(ə)ɹ(ə)ns/	選択
beverage 名詞	/ˈbɛv(ə)ɹɪd͡ʒ/	飲料, ドリンク
juice 名詞	/d͡ʒuːs/	汁, 樹液
innovation 名詞	/ˌɪn.əˈveɪ.ʃən/	イノベーション, 革新
invest 動詞	/ɪnˈvɛst/	投入する
predict 動詞	/pɹɪˈdɪkt/	予言する
entrepreneur 名詞	/ˌɑn.tɹə.pɹəˈnɝ/	企業家, 起業家
investor 名詞	/ɪnˈvɛs.tə(ɹ)/	投資家, 出資者
alcoholic 名詞	/ˌæl.kəˈhɔ.lɪk/	アルコール中毒者
ingredient 名詞	/ɪnˈɡɹiːdi.ənt/	成分, 原材料
solve 動詞	/sɒlv/	解決する
associate 名詞	/əˈsoʊʃi.ət/	提携者

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	is packaged · is expected · was founded
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	you've bought · has been · has had

注意したい発音

話し手はwe're, they're, you'veなど、短縮形や弱形を4回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: gather /ˈɡæðɚ/, strengthen /ˈstɹɛŋ(k)θən/, synthesize /ˈsɪnθəsaɪz/
「sh」と「zh」の音: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/, inspiration /ˌɪn.spɪˈɹeɪ.ʃən/
長い単語（アクセントの位置に注意）: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, alcoholic /ˌæl.kəˈhɔ.lɪk/, ingredient /ɪnˈɡɹiːdi.ənt/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: traditionally /tɹəˈdɪʃ.ə.nə.li/, rebuild /ɹiːˈbɪld/, resilient /ɹɪˈzɪl.jənt/
/v/ — /b/ にならないように、上の歯を下唇に当てる: beverage /ˈbɛv(ə)ɹɪd͡ʒ/, innovation /ˌɪn.əˈveɪ.ʃən/, invest /ɪnˈvɛst/, investor /ɪnˈvɛs.tə(ɹ)/, solve /sɒlv/
/f/ — 「フ」ではなく、上の歯と下唇で出す: artificial /ˌɑː.tɪˈfɪʃ.əl/, preference /ˈpɹɛf(ə)ɹ(ə)ns/, forecast /ˈfɔːkɑːst/, flavor /ˈfleɪvə/, fertile /ˈfɝːtəl/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
自分の声を録音して元の音声と比べます。palette, package, artificialなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: How AI is helping brands identify consumer trends faster - 動画で英語スピーキングを学ぶ

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