쉐도잉 연습: Class Takeaways — Turning Data Into a Superpower - 영상으로 영어 말하기 배우기
레슨 만드는 중...
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Hi, my name is Mohsen Bayadi and I'm a professor of operation information and technology at Stanford Graduate School of Business.
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In a world with a ton of information, the ability to turn raw data into better decisions is a superpower.
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Today I will be sharing five key takeaways from my course business intelligence from big data
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first guide your decisions by data human intuition is powerful but when it comes to assessing uncertainty it's sometimes pretty flawed
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we naturally see patterns when there is no pattern
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or we overreact to noise let me give you an example
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consider a hospital vp in charge of quality of care who sees a drop in infection rates
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and assumes a new protocol is working.
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But often, it's just a lucky streak.
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Random noise shows up as a trend.
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By grounding your decisions in diverse data rather than a single perspective or AI tool,
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you can tease out the true signal from the noise and manage uncertainty with better precision.
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second invest in your technical capabilities by getting your hands dirty the philosophy of this course is
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that the best way to learn is by doing you can't just read about ai
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and data science you have to use the tools yourself to truly lead you need to understand the capabilities
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and limitations of these technologies in this class we dive into writing code using ai apis
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And it's the beauty of these hands -on experiences that demystifies the technology for us,
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forcing you to understand it better and empowers you to build quick proof of concepts that can transform your business.
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Third, formulate the right questions.
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We often rush to find answers, but the hardest part of using data for decisions is asking the right questions.
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A sophisticated AI agent or model is often useless if it solves the wrong problem.
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An important skill we work on in this course is to
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learn to translate a business challenge into a concrete model where you can identify the right AI -based method to solve it.
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Before using any technology, ask yourself, what exactly are we trying to solve?
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And how will data and AI tell us if we have succeeded?
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fourth augment technology with expert human judgment we often see two extremes those who avoid ai
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because it makes mistakes and those who over rely on it both are suboptimal
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and the latter is even dangerous these technologies often have blind spots nuanced issues of bias
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that won't go away easily your goal shouldn't be cognitive offloading or letting the machine do all the thinking.
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Instead, use your expert judgment to verify the output, understand the limitations, and layer your reasoning on top of the technology.
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Finally, lead through collaboration.
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Decision -making with data is a team sport.
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An individual contributor's style of work that happens in a silo often has limited impact because it lacks business context.
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As a leader, your competitive advantage comes from bridging that gap.
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Cross -functional teamwork is key.
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By enabling deep collaboration between domain experts,
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AI scientists, and engineers, you make sure the technical solutions are aligned with real business value.
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Don't just consume the analysis, actively shape it.
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So, what does this all add up?
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By guiding decisions with data, investing in your capabilities, and balancing AI power with human wisdom, you don't just become a user of technology.
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You become a leader who can navigate uncertainty with more clarity.
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Implementing these principles will help you lead your teams effectively in a world that is becoming more AI -driven.
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Teaching is beautiful because it helps you learn better.
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At the same time, sometimes I just get excited, like I want to learn about a new technology and I want to share that with others.
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So it allows me to do both.
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이 레슨의 어휘와 말하기 포인트
이 말하기 레슨은 영상 “Class Takeaways — Turning Data Into a Superpower”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: technology, decision, learn, uncertainty, capabilities. 이 영상에는 섀도잉할 문장 41개와 단어 640개가 있습니다. 말하는 구간의 길이는 4:51입니다. 화자는 분당 약 132단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 80%뿐이라 어휘가 어려운 편입니다.
이 영상의 핵심 어휘
영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.
| 단어 | 발음 | 뜻 |
|---|---|---|
| solve 동사 | /sɒlv/ | 해결하다 |
| uncertainty 명사 | /ʌnˈsɜːtənti/ | 불확실 |
| collaboration 명사 | /kəˌlæbəˈɹeɪʃən/ | 콜라보레이션, 콜라보 |
| output 명사 | /ˈaʊtpʊt/ | 출력 |
| skill 명사 | /skɪl/ | 기술, 스킬 |
| layer 명사 | /ˈleɪ̯ɚ/ | 층 |
| principle 명사 | /ˈpɹɪn.sɪ.pəl/ | 원리, 원칙 |
| infection 명사 | /ɪnˈfɛkʃən/ | 감염, 전염 |
| wisdom 명사 | /ˈwɪzdəm/ | 지혜, 슬기 |
| rely 동사 | /ɹɪˈlaɪ/ | 의지(依支)하다 |
| scientist 명사 | /ˈsaɪəntəst/ | 과학자 |
| bias 명사 | /ˈbaɪ.əs/ | 편견 |
| protocol 명사 | /ˈpɹoʊtəˌkɑl/ | 의정서 |
| dive 동사 | /daɪv/ | 잠수하다 |
| sophisticated 형용사 | 정교한 |
영상에 나오는 구동사
| 단어 | 뜻 |
|---|---|
| go away 동사 | 떠나다, 떠나가다 |
이 영상의 문법
화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.
| 문형 | 영상 속 표현 |
|---|---|
| 현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때 | have succeeded · has limited |
| 관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보 | those who avoid · those who over |
주의할 발음
화자는 don't, I'm, can't 같은 축약형과 약화된 형태를 7번 사용합니다. 들리는 대로 짧게 발음하세요.
- “sh”와 “zh” 소리: collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, rush /ɹʌʃ/, infection /ɪnˈfɛkʃən/, precision /pɹɪˈsɪʒ.ən/
- 긴 단어 — 강세 위치에 주의: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, uncertainty /ʌnˈsɜːtənti/, collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/
한국어 화자가 어려워하는 소리:
- /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: infection /ɪnˈfɛkʃən/, functional /ˈfʌŋkt͡ʃənəl/, transform /tɹænsˈfɔɹm/, verify /ˈvɛɹɪfaɪ/, flawed /flɔːd/
- /v/ — ㅂ(/b/)과 구별하기: solve /sɒlv/, invest /ɪnˈvɛst/, diverse /daɪˈvɜːs/, actively /ˈæktɪvli/, dive /daɪv/
- /z/ — ㅈ이 아니라 성대를 울리는 /s/: wisdom /ˈwɪzdəm/, translate /tɹænzˈleɪt/, tease /tiːz/, extremes /ɪkˈstɹimz/
이 영상으로 연습하는 방법
- 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
- 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
- 자신의 목소리를 녹음해 원본과 비교하고, solve, uncertainty, collaboration 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.