शैडोइंग अभ्यास: How AI is helping brands identify consumer trends faster - वीडियो के साथ अंग्रेजी बोलना सीखें

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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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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “How AI is helping brands identify consumer trends faster” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: product, consumer, companies, palette, trend। इस वीडियो में शैडोइंग के लिए 54 वाक्य और 1082 शब्द हैं। बोला गया हिस्सा 6:34 लंबा है। वक्ता लगभग 165 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 83% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
package संज्ञा	/ˈpæk.ɪd͡ʒ/	पैकेज, पैकेट
artificial विशेषण	/ˌɑː.tɪˈfɪʃ.əl/	कृत्रिम
preference संज्ञा	/ˈpɹɛf(ə)ɹ(ə)ns/	प्राथमिकता, वरीयता
beverage संज्ञा	/ˈbɛv(ə)ɹɪd͡ʒ/	पेय
juice संज्ञा	/d͡ʒuːs/	रस, जूस
innovation संज्ञा	/ˌɪn.əˈveɪ.ʃən/	नवाचार
entrepreneur संज्ञा	/ˌɑn.tɹə.pɹəˈnɝ/	व्यवसायी, उद्यमी
investor संज्ञा	/ɪnˈvɛs.tə(ɹ)/	विनिधानकर्ता, निवेशक
alcoholic संज्ञा	/ˌæl.kəˈhɔ.lɪk/	पियक्कड़, शराबी
disruption संज्ञा	/dɪsˈɹʌpʃən/	विघटन, रुकावट
establish क्रिया	/ɪˈstæb.lɪʃ/	स्थापना
solve क्रिया	/sɒlv/	सुलझाना, हल करना
estimate संज्ञा	/ˈɛs.tɪ.mət/	आकलन, अनुमान
mature विशेषण	/məˈt͡ʃʊ(ə)ɹ/	परिपक्व, विकसित
menu संज्ञा	/ˈmɛn.juː/	मेनू

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is packaged · is expected · was founded
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	you've bought · has been · has had

ध्यान देने योग्य उच्चारण

वक्ता 4 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे we're, they're, you've। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: gather /ˈɡæðɚ/, strengthen /ˈstɹɛŋ(k)θən/, synthesize /ˈsɪnθəsaɪz/
“sh” और “zh” की ध्वनियाँ: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/, inspiration /ˌɪn.spɪˈɹeɪ.ʃən/
लंबे शब्द — बलाघात सही रखें: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, alcoholic /ˌæl.kəˈhɔ.lɪk/, ingredient /ɪnˈɡɹiːdi.ənt/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: beverage /ˈbɛv(ə)ɹɪd͡ʒ/, innovation /ˌɪn.əˈveɪ.ʃən/, invest /ɪnˈvɛst/, investor /ɪnˈvɛs.tə(ɹ)/, solve /sɒlv/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: analyze /ˈæn.əˌlaɪz/, resilient /ɹɪˈzɪl.jənt/, resonate /ˈɹɛz.əˌneɪt/, synthesize /ˈsɪnθəsaɪz/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: strengthen /ˈstɹɛŋ(k)θən/, snack /snæk/, startup /ˈstɑɹtˌʌp/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर package, artificial, preference जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: How AI is helping brands identify consumer trends faster - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

इस वीडियो का व्याकरण

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?