Tag: AI speech analysis

Ted Talk: “How AI Could Empower Any Business” Speech Summary, Text, & Analysis

March 5th, 2023
The power of AI has become more apparent within the past few years. In the Ted Talk: “How AI Could Empower Any Business”, Andrew Ng discusses the powerful implications of artificial intelligence.

Ted Talk: “How AI Could Empower Any Business” Speech Summary

We ran Ng’s Ted Talk through Yoodli, the AI-powered speech coaching platform. You can upload or record any speech and receive a generated summary similar to Ng’s speech, which has been included below. You can get started at https://yoodli.ai and view the full results for “How AI Could Empower Any Business” here.
- Widespread literacy enables a much richer society than not everyone having to read and write
- AI is mainly concentrated in big tech companies, due to the high cost of building an AI system and the potential for a large payoff from having hundreds of millions of users
- AI may not always need massive data sets, as seen with a small pizza store
- Half a million independent restaurants in the US serve tens of millions of customers, but no one-size-fits-all AI will work for them
- AI development platforms shift the focus from code to data and let more people participate
- These platforms can empower an inspector to build an AI system to detect fabric defects, a baker to check the quality of cakes, a farmer to check the quality of vegetables, and a furniture maker to check the quality of wood
- Democratizing access to AI will ensure the wealth created by it is spread more evenly across society
Ted Talk: “How AI Could Empower Any Business” Speech Text

In addition to providing a speech summary, Yoodli also generates the text transcript of any speech.

When I think about the rise of ai, I’m reminded by the rise of literacy. A few hundred years ago, many people in society thought that maybe not everyone needed to be able to read and write. Back then many people were attending Fuse or herding sheeps, so maybe there was less need for written communication. And all that was needed was for the high priests and priestesses and monks to be able to read the Holy Book and the rest of us could just go to the temple or church or the holy building and sit and listen to the high priests and priestesses read to us. Fortunately, we’re since figured out that we can build a much richer society if lots of people can read and write today, AI is in the hands of the high priests and processes. These are the highly skilled AI engineers, many of whom work in the big tech companies, and most people have access only to the AI that they build for them.

I think that we can build a much rich society if we can enable everyone to help to write the future. But why is AI largely concentrated in the big tech companies? Because many of these AI projects have been expensive to build, they may require dozens of highly skill engineers and it may cost millions or tens of millions of dollars to build an AI system. And the large tech companies, particularly the ones with hundreds of millions or even billions of users, have been better than anyone else at making these investments pay off because for them, a one size fits all AI system such as one that improves web search or that recommends better products for online shopping can be applied to this very large number of users to generate a massive amount of revenue. But this recipe for AI does not work once you go outside the tech and internet sectors to other places where for the most part, there are hardly any projects that apply to a hundred million people or that generates comparable economics. Let me illustrate an example.

Many weekends I drive a few minutes from a house to a local pizza store to buy a slice of Hawaiian pizza from the gentleman that owns his pizza store, um, and his pizza sprayed. But he always has a lot of coat pizza sitting around and every weekend some different flavor of pizza is other star. But when I watch him operate his store, I get excited because by selling pizza, he is generating data and this is data that he can take advantage of if he had access to ai. AI systems are good at smarting patterns when given access to the right data and perhaps an AI system could spot if Mediterranean Pizzas sell really well on a Friday night, maybe could suggest to him to make more of it on a Friday afternoon. Now you might say to me, Hey Andrew, this is a small pizza store. What’s the big deal? And I say to the gentleman that owns this pizza store, something that could help him improve his revenues by a few thousand dollars a year.

That will be a huge deal to him. I know that there is a lot of hype about AI’s need for massive data sets and having more data does help. But contrary to the hype AI can often work just fine even on modest amounts of data such as the data generated by a single pizza store. So the real problem is not that there isn’t enough data from the pizza store, the real problem is that the small pizza store could never serve enough customers to justify the cost of hiring an AI team. I know that in the United States there are about half a million independent restaurants and collectively these restaurants do serve tens of millions of customers.

But every restaurant is different with a different menu, different customers, different ways of recording sales that no one size fits all. AI will work for all of them. What would it be like if we could enable small businesses and especially local businesses to use ai? Let’s take a look at what it might look like at a complete that makes and sells t-shirts. I would love if an accountant working for the t-shirt company can use AI for demand forecasting. Say, figure out what funny memes the print on t-shirts that would drive sales by looking at what’s trending on social media or for product placement.

Why can’t a front to store manager take pictures of what the store looks like and shorten AI and have an AI recommend where to place products to improve sales supply chain? Can an AI recommend to buyer whether or not they should pay $20 per yard for a piece of fabric now or if they should keep looking because they might be able to find it cheaper elsewhere or quality control? A quality inspector should be able to use AI to automatically scan pictures of the fabric being used to make t-shirts to check if there are any tears or discolorations in the calf. Today, large tech companies routinely use AI to solve problems like these and to great effect. But a typical t-shirt company or a typical auto mechanic or retailer or school or local farm will be using AI for exactly zero of these applications. Today, every t-shirt maker is sufficiently different from every other t-shirt maker that there is no one size vial AI that will work for all of them. And in fact, once you go outside the internet and tech sectors in other industries, even large companies such as the pharmaceutical companies, the car makers, the hospitals also struggle with this.

This is the long tail problem of ai. If you were to take all current and potential AI projects and sort them in decreasing order of value and plot them, you get drafted, looks like this. Maybe the single most valuable AI system is something that decides what ads to show people on the internet. Maybe the second most valuable is a web search engine. Maybe the third most valuable is a online shopping product recommendation system. But when you go to the right of this curve, you then get projects like t-shirt product placements or t-shirt demand forecasting or pizzeria demand forecasting.

And each of these is a unique project that needs to be custom built. Even T-shirt demand forecasting if it depends on trending memes on the on social media is a very different project than pizzeria. Um, demand forecasting if that depends on the sales data. So today there are millions of projects sitting on the tail of this distribution that no one is working on, but whose aggregate value is massive. So how can we enable small businesses and individuals to build AI systems that matter to them for most of the last few decades? If you want to build an AI system, this is what you have to do. You have to write pages and pages of code.

And while I would love for everyone to learn to code and in fact online education and also offline education are helping more people than ever learn to code. Unfortunately, not everyone has the time to do this, but there is an emerging new way to build AI systems that will let more people participate just as pen and paper, which are a vastly superior technology to stones, tablet and chisel where instrumental to widespread literacy, there are emerging new AI development platforms that shift the focus from asking you to write lots of code to asking you to focus on providing data. And this turns out to be much easier for a lot of people to do today. There there are multiple companies working on platforms like these.

Let me illustrate a few of the concepts using one that my team has been building. Take the example of an inspector wanting AI to help detect defects in fabric. An inspector can take pictures of the fabric and upload it to a platform like this and they can go in to show the AI what tears in the fabric looks like by drawing rectangles. And they can also go in to show the AI what discolorations and the fabric looks like by drawing rectangles. So these pictures together with the green and pink rectangles that the inspectors drawn are data created by the inspector to explain to AI how to find tears and discolorations.

After the AI examines this data, we may find that it has seen enough pictures of tears, but not yet enough pictures of discolorations. This is akin to if a junior inspector had learned to rely these spot terrorists but still needs to further hone their judgment about discolorations so the inspector can go back and take more pictures of discolorations to show to the AI to help it deepen its understanding. By adjusting the data you give to the ai, you can help the AI get smarter. So an inspector using an accessible platform like this can in a few hours to a few days, um, and with a, with purchasing a suitable camera setup, be able to build a custom AI system to detect defects discovers in all the fabric being used to make t-shirts throughout the factory.

And once again, you may ask, you may say, Hey Andrew, this is one factory. Like why is this a big deal? And I say to you, this is a big deal to that inspector whose life this makes easier. And equally, this type of technology can empower a baker to use AI to check for the quality of the cakes they’re making or a organic farmer to check the quality of the vegetables or a furniture maker to check the quality of the wood they’re using.

Platforms like these will probably still need a few more years before they’re easy enough to use for every pizzeria owner, but many of these platforms are coming along and some of them are getting to be quite usable to someone that is tech savvy today with just a bit of training. But what this means is that rather than relying on the high S and processes the right AI systems for everyone else, we can start to empower every accountant, every store manager, every buyer, and every quality inspector to build their own AI systems. I hope that the Zare owner and many other small business owners like him will also take advantage of this technology because AI is creating tremendous wealth and will continue to create tremendous wealth. And it’s only by democratizing access to AI that can ensure that this wealth is spread far and wide across society. Hundreds of years ago, I think hardly anyone understood the impact that widespread literacy will have today. I think hardly anyone understands the impact that democratizing access to AI will have. Building AI systems has been other reach for most people, but that does not have to be the case in the coming era for AI will empower everyone to build AI systems for themselves and I think that will be an incredibly exciting future. Thank you very much. Thank.

Ted Talk: “How AI Could Empower Any Business” Speech Analysis

With any speech you upload or record, Yoodli provides immediate feedback in the categories of Word Choice and Delivery. Through simple speech analysis, you can receive suggestions for various components of speech.

Word Choice

In the Word Choice category, Andrew Ng ranked well. His Ted Talk was absent of both filler words and inclusive language. Throughout his 11-minute speech, Ng used the top keyword “AI” 49 times total! Surprisingly, one of Ng’s top keywords also included “pizza” at a total of 12 times.

Despite the strong use of language in Ng’s Ted Talk, Yoodli detected 20 weak words, including “so” and “just”.

Delivery

In the Delivery category, Andrew Ng ranked well in both pacing and the appropriate use of pauses. However, Yoodli provided suggestions for both centering and eye contact.

Wrapping Up

If you enjoyed this speech summary, text, and analysis of Andrew Ng’s “How AI Could Empower Any Business” Ted Talk, you can join the Yoodli community here. By creating your own free account, you can receive similar feedback and improve your public speaking skills in no time.
Malala Yousafzai’s Speech & Emma Watson’s Speech: Analysis

February 21st, 2023
Did you see Malala Yousafzai’s speech when she accepted the Nobel Peace Prize? What about Emma Watson’s speech at the UN?

Sometimes a speech completely blows you away. Maybe it’s the astute perspective they bring to the table. Perhaps it’s the manner of speaking and the confidence they exude. Consider what you can learn from these inspirational speech-givers.

In this post, you’ll get a comprehensive breakdown of two iconic speeches. These are Malala Yousafzai’s Nobel Peace Prize speech and Emma Watson’s HeForShe UN speech. We’ve run both Yousafzai’s and Watson’s speech through our AI public speaking Coach Yoodli. This provides valuable insight into each speaker’s individual speaking style. To sweeten the deal, we’ve included a detailed writeup on both speeches’ delivery and content.

You’ll see the AI analysis of Malala’s speech and Emma Watson’s speech. Then, we’ll acquaint you with a free speaking resource. The tool can exponentially improve your speaking skills and help you learn from some of the best rhetoric.

Emma Watson’s UN speech

Emma Watson’s UN speech was definitely one for the books. Watch Watson’s speech here.

What was the context of Emma Watson’s speech?

Watson served as the Goodwill Ambassador for UN Women. On September 20, 2014, she gave a speech at the UN to launch the HeForShe campaign. This was a movement to urge men and boys to stand in solidarity with women in the movement for gender equality.

In her speech, Watson reaches a hand out to men to join the fight. She tells them that “gender equality is your issue, too.” She eloquently breaks down the negative stigma surrounding the word “feminism.” Watson explains how gender stereotypes can “imprison” anyone, regardless of gender. She asserts that everyone should be free to define themselves as they wish.

By and large, Watson gained positive reception. Phil Plait called the speech “stunning” in his piece for Slate, and Alyssa Bailey lauded it as “history-making” in ELLE.

Others have criticized the speech, specifically the choice of Watson as its messenger. Julia Zulver in Al Jazeera questions the UN’s decision in “Is Emma Watson the right woman for the job?” She states that Watson’s experiences belong “to a highly elite, privileged class of people.”

Ultimately, you can determine whether Watson was the right person to deliver a speech on such sensitive subject matter.

Extracts from Emma Watson’s UN speech

Below we’ve included an abridged transcript of Watson’s speech so that you can see the parts that struck us here at Yoodli!

“The more I spoke about feminism, the more I realized that fighting for women’s rights has too often become synonymous with man-hating. If there is one thing I know for certain, it is that this has to stop. … I am from Britain, and I think it is right I am paid the same as my male counterparts. I think it is right that I should be able to make decisions about my own body. I think it is right that women be involved on my behalf in the policies and decisions that will affect my life.”

What did Yoodli have to say?

If we take Yoodli’s word for it, Watson is doing a great job with her HeforShe speech. She uses repetition and filler words such as “like” and “um” sparingly. This suggests she took great care to write and memorize her speech. (However, you might deliberately emphasize a point with repetition.) Watson made sure to use inclusive language. This is especially important because she’s inviting men to the fight for gender inequality.

In terms of delivery, Watson does well on pacing, which averages out to 124 words per minute. This is a comfortable speed for the listener, making her sound relaxed but also confident.

Our take on it
1. We commend Watson for her speech. It’s strong on many fronts and shines a powerful light on the current state of feminism. She discusses how men need to join this movement. Her use of “this has to stop” is bold and powerful. Here, she punctuates her statement with deliberate pauses that drive her point home.
2. She shares personal anecdotes that illustrate how gender inequality affects all women, just to varying extents and in different ways. She brings it back to her lived experience. Here’s one example: “At 14, I started to be sexualized by certain elements of the media.” This shows that even Watson, a celebrated actor and advocate, can experience adverse consequences of gender inequality.
3. Turning now to look at her delivery, we are proud to say Watson does well in this aspect as well. Her eye contact is a strength. Notice how she looks around the whole audience as she speaks. This allows her to connect with every audience member and better drive her point home.
4. If we were to give Watson one tip, it’d be to speak sentences out in one go. (This is instead of taking small, wavering breaths in unnatural places.) She tends to pause in the middle of sentences. This makes her appear nervous. The nerves are perfectly understandable, given she’s delivering a speech with millions of eyes on her. All things considered, Emma Watson has done a fantastic job.
Malala Yousafzai’s Nobel Peace Prize speech

Malala Yousafzai’s Nobel Peace Price speech — to no one’s surprise — was eloquently delivered with a powerful message. You can watch Yousafzai’s speech here.

What was the context of Malala Yousafzai’s Nobel Peace Price speech?

Yousafazi is a celebrated Pakistani education activist. She’s the youngest Nobel Peace Prize laureate ever, as she won the award when she was 17. She delivered her acceptance speech in Oslo, Norway, on December 10, 2014.

Yousafzai’s speech shows wisdom and bravery beyond her years. It speaks to the power of education. It also calls out global governments who stood by watching while Taliban terrorist attacks kept women from experiencing basic human rights.

Yousafzai faced two choices: “remain silent and wait to be killed” or “speak up and then be killed.” Her choice of the latter has made all the difference.

Extracts from Malala Yousafzai’s Nobel Peace Price speech

“This award is not just for me. It is for those forgotten children who want an education. It is for those frightened children who want peace. It is for those voiceless children who want change. I am here to stand up for their rights, to raise their voice . . . it is not time to pity them.”

What did Yoodli have to say?

According to Yoodli, Yousafzai has excellent word choice, completely avoiding filler words and non-inclusive language. She uses the occasional “weak word”; in her case, she mentions the words very, so, and just twice each. Nothing major.

However, if overused, weak words can indicate a lack of confidence. That, in turn, can undermine the message a speaker is trying to convey.

To improve, we’d recommend Yousafzai speak a little bit quicker. However, she might deliberately speak slowly because she’s speaking in a second language. Conversational speed is around 125 words per minute. This pace gives you the flexibility to slow down when you want to emphasize a particular point. Pausing is this rhetorical effect at its extreme.

Our take on it
1. In Malala’s speech, she manages to strike the perfect balance of humility and self-confidence. She acknowledges that she’s the world’s youngest Pashtun, Pakistani, and person to win the Nobel Peace Prize. However, she balances this out by celebrating her fellow award winner Kailash Satyarthi. (Satyarthi won his prize for advocating against child labor in India.)
2. She also manages to balance out seriousness with humor. In her speech, she brings the “voiceless children who want change” center-stage. This reminds us of the onus to bring education to all children in every corner of the globe. She reminds us that, while she’s fighting an oppressive terrorist group, she’s still just a young girl who has brothers. This humanizes her and adds a lighter tone to the speech. That’s important in a speech that is otherwise quite heavy.
3. Similar to Watson, Yousafzai successfully uses repetition in “it is for those … children.” This emphasizes that the speech is not about her but about building a society that allows children to flourish.
4. However, in contrast to Watson, Yousafzai uses pauses very deliberately. This is most noticeable at the ends of sentences to drive home the point she is making. This careful control over her speaking exudes confidence.
5. Moreover, her use of expressive hand movements and humorous smiles further demonstrates assuredness. If she believes in what she’s saying, we should as well.
How to Use AI and What You Learned from Watson and Yousafzai

You’ve read through how Watson and Yousafzai used the contents and delivery of their speeches to champion their feminist causes. Now let’s see what you can learn from both of them.

You can start by downloading Yoodli to work on your own public speaking skills. This AI-powered speech coach is perfecting for taking your skills to the next level.

Practicing with Yoodli can help you implement the skills learned from Watson and Yousafzai.

When preparing your speech, include personal anecdotes to show the audience why you’re the perfect person to give this speech.

When practicing delivery, focus on pacing and eye contact — both are necessary to engage your audience fully. If you can, learn from Yousafzai and use your hands and smile as alternative ways of illustrating your point.

You can get free and personalized feedback on your speech delivery. Just use the AI speech coach Yoodli to get insights on your pacing, inclusiveness of language, filler words, and more. This way, you can gain the confidence and public speaking skills needed to speak like your favorite orators. Keep working at it; you can do it!

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