Shadowing Practice: Class Takeaways — Turning Data Into a Superpower - Learn English Speaking with Video
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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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Vocabulary and speaking notes for this lesson
This speaking lesson is built on the video “Class Takeaways — Turning Data Into a Superpower”. The speaker keeps coming back to these words: technology, decision, learn, uncertainty, capabilities. This video has 41 sentences and 640 words to shadow. The speech runs for 4:51. The speaker talks at a steady 132 words per minute, a comfortable pace for shadowing. Only 80% of the words are among the 3,000 most common in English, so the vocabulary is demanding.
Key vocabulary in this video
15 words from the video worth learning, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| solve verb | /sɒlv/ | To find an answer or solution to a problem or question; to work out. |
| capability noun | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | The power or ability to generate an outcome. |
| uncertainty noun | /ʌnˈsɜːtənti/ | Doubt; the condition of being uncertain or without conviction. |
| invest verb | /ɪnˈvɛst/ | To spend money, time, or energy on something, especially for some benefit or purpose; used with in. |
| collaboration noun | /kəˌlæbəˈɹeɪʃən/ | The act of collaborating. |
| judgment noun | /ˈd͡ʒʌd͡ʒ.mənt/ | The act of judging. |
| limitation noun | /lɪmɪˈteɪʃən/ | The act of limiting or the state of being limited. |
| naturally adverb | /ˈnæt͡ʃ.(ə.)ɹə.li/ | In a natural manner. |
| rush verb | /ɹʌʃ/ | To hurry; to perform a task with great haste, often not properly or without thinking carefully. |
| concrete adjective | /ˌkɑnˈkɹit/ | Real, actual, tangible. |
| output noun | /ˈaʊtpʊt/ | Production; quantity produced, created, or completed. |
| skill noun | /skɪl/ | A capacity to do something well; a technique, an ability, usually acquired or learned, as opposed to abilities that are regarded as innate. |
| layer noun | /ˈleɪ̯ɚ/ | A single thickness of some material covering a surface. |
| principle noun | /ˈpɹɪn.sɪ.pəl/ | A fundamental assumption, fundamental law or guiding belief. |
| infection noun | /ɪnˈfɛkʃən/ | The act or process of infecting. |
Phrasal verbs you will hear
| Word | Meaning |
|---|---|
| add up to verb | To have a particular effect in combination. |
| go away verb | To depart or leave a place. |
| lead through verb | To take turns leading an expedition. |
| show up verb | To appear, arrive, or attend, especially suddenly or erratically. |
Grammar in this video
The structures the speaker uses most, with the exact words from the video:
| Structure | In the video |
|---|---|
| Present perfect have/has + past participle — a past action that still matters now | have succeeded · has limited |
| Relative clauses who / which + clause — extra information about a person or thing | those who avoid · those who over |
Pronunciation to watch
The speaker uses 7 contractions and reduced forms, such as don't, I'm, can't. Say them the short way, as you hear them.
- The “sh” and “zh” sounds: collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, rush /ɹʌʃ/, infection /ɪnˈfɛkʃən/, precision /pɹɪˈsɪʒ.ən/
- Long words — get the stress right: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, uncertainty /ʌnˈsɜːtənti/, collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/
How to practise with this video
- Listen to the whole video once without speaking and note the words you do not know.
- Shadow it sentence by sentence at normal speed, repeating each one until your rhythm matches the speaker.
- Record yourself and compare with the original, paying attention to words like solve, capability, uncertainty.
What is the Shadowing Technique?
Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.