Amazon, every mention
50 scenes (2017), the whole family · ← back to Amazon
tap a year for its mentions
every year 2017 anyone Benedict Evans 202Alex Rampell 95Michael Copeland 74Ben Horowitz 71Sonal Chokshi 70Steven Sinofsky 59Chris Dixon 58Marc Andreessen 45Jeff Jordan 31Anu Hariharan 28
Verbatim, from the transcripts: the passages where Amazon comes up
Challenges in Healthcare Innovation
- ▶ 18:56 Jorge Conde But what's also true is, as Jeff Bezos has famously said, when there's big margin, there's opportunity, and that hasn't escaped Amazon. 2 times in the scene
Decrypting Crypto: From Bitcoin and Blockchain to ICOs
- ▶ 6:36 Alex Rampell This gives a sense of scale of how many computers are running this thing concurrently, as opposed to if you're storing something on a database at Dropbox or at Box or at Amazon S three, like that's one data center.
- ▶ 15:09 Alex Rampell The first is what Amazon did. 3 times in the scene
- ▶ 15:11 Alex Rampell They can spend billions of dollars in CapEx, they can build out something called S-III, simple storage system, buy lots of hard drives, buy lots of racks, and then charge for admission and let you store your files there.
- ▶ 16:06 Alex Rampell They ran to Fry's Electronics, they went to Amazon, they bought hard drives, they picked, they're gonna install them in their computers because they want to earn Filecoin, so it helps jumpstart the network.
- ▶ 17:43 Alex Rampell Is that when the network utility, or rather the application utility is low, um, so there are no hard drives to go store things on, on Filecoin, so why would I want to use Filecoin instead of Amazon S III?
AI: What's Working, What's Not
- ▶ 0:30 Frank Chen So in the US, that's GAFA, Google, Amazon, Facebook, Apple.
- ▶ 3:49 Frank Chen Alexa?
- ▶ 26:24 Frank Chen We see this exact same phenomenon with Amazon. 2 times in the scene
10 Year Futures (vs. What's Happening Now)
- ▶ 2:31 Benedict Evans And can you even compete with Google, Apple, Facebook, Amazon? 5 times in the scene
- ▶ 4:51 Benedict Evans So Amazon might look like a big company, but in the scale of overall retail, it's got, still got quite a long way to go. 2 times in the scene
- ▶ 19:30 Benedict Evans Or you can look at a product and say, is this cheaper on Amazon?
The Future of Money: Banking on Fintech
- ▶ 0:20 Alex Rampell It was impossible 30 years ago to have any revenue that was dissociated from physical location, and then Amazon actually made that work. 4 times in the scene
On Career Moves and Business Leadership
- ▶ 47:43 Ben Horowitz You know, like how you bootstrap it, and then how, like, it scales as you get bigger, and how, like, you know, in particular, like, there's certain areas where it's just really hard to compete with Amazon, or Google, or Facebook, because…
Matthew Turk
- ▶ 20:41 Matthew Turk So we did a study with 88 users using Amazon Mechanical Turk, and we basically showed them, um, a bunch of two-D annotations like this, and then said, okay, given a different perspective, which actually matches best?
Michael Jordan
- ▶ 21:11 Michael Jordan So, uh, this is on the Amazon EC two. 2 times in the scene
The Promise of AI
- ▶ 1:00 Frank Chen You bought something on Amazon.
- ▶ 10:50 Frank Chen You probably saw the coverage that Amazon got when it announced that it was building physical stores, right?
What Happens When Mobile (Really) Hits the Wallet
- ▶ 0:06 Alex Rampell Walmart is to Amazon as Chase is to whom. 4 times in the scene
- ▶ 17:21 Alex Rampell And it's almost like this is why Amazon, they built the Fire Phone. 3 times in the scene
Software Secures the World
- ▶ 13:29 Martin Casado And oh, by the way, voice is an enormously important way of not only accessing, say, your bank account or your, ah, your telephone account, but now anything is like Alexis and things catch on.
How 'Going Direct' Changes Everything: for Brands, Retail, Marketing, and Advertising
Mobile Is Eating the World, 2016
- ▶ 2:27 Benedict Evans So the new dominant companies in tech are Google, Apple, Facebook, and Amazon, GAFA for short, and they're about three times the scale of the old dominant companies in tech, which were Wintel, that is to say Microsoft and Intel. 8 times in the scene
- ▶ 4:30 Benedict Evans Well, for Amazon, content is just a lever to get more prime subscribers and sell more soap powder.
- ▶ 10:54 Benedict Evans In parallel, we have Google, Amazon, Microsoft, IBM, other companies putting this into the cloud and making it available as a platform to other people. 2 times in the scene
- ▶ 11:02 Benedict Evans Speech recognition that Amazon uses for Alexa, and you can plug it into your own product using, using an Amazon cloud product.
- ▶ 14:13 Benedict Evans At the other extreme, you have kind of frictionless computing, I think, in devices like Alexa, the Amazon Echo, or Snapchat Spectacles, where you don't have any buttons, or any apps, or any intermediate steps. 2 times in the scene
- ▶ 14:13 Benedict Evans At the other extreme, you have kind of frictionless computing, I think, in devices like Alexa, the Amazon Echo, or Snapchat Spectacles, where you don't have any buttons, or any apps, or any intermediate steps. 3 times in the scene
- ▶ 14:40 Benedict Evans So the Amazon Echo is the unbundled Amazon app. 3 times in the scene
- ▶ 18:15 Benedict Evans You know that you want to buy that thing so you can go on Amazon and get it. 6 times in the scene
- ▶ 20:30 Benedict Evans That is to say, you ask Alexa to get you more soap, or you buy an Amazon Dash button and you put it in your washing machine.
- ▶ 20:30 Benedict Evans That is to say, you ask Alexa to get you more soap, or you buy an Amazon Dash button and you put it in your washing machine. 2 times in the scene
On Machine Learning in Medicine and More
- ▶ 1:19 Vijay Pande Now that's something that we can do easily on something like Amazon.
- ▶ 2:45 Vijay Pande It's very, very reminiscent of the early days of Google, where Google built their own data centers with their own machines, and that later led to AWS.
Trends in and the Future of Infrastructure
- ▶ 14:02 Martin Casado Of course, the canonical example for this is Amazon Web Services, but what I think fewer people understand is how many areas and how many verticals have companies behind them that are going after large areas, delivering them entirely as a…
- ▶ 18:31 Martin Casado Well, they swipe a credit card, they go on Amazon and they implement it within Amazon.
Marketplaces
- ▶ 0:36 Jeff Jordan On Amazon, you get a listing of footballs.
- ▶ 2:05 Jeff Jordan When I first joined two of the most powerful, um, internet companies were Amazon and Yahoo.
- ▶ 6:47 Jeff Jordan So I used, um, Amazon up front as the example of a retailer.
- ▶ 9:44 Jeff Jordan Um, and then now you have Amazon.com. 4 times in the scene
Chandra Krintz
- ▶ 3:39 Chandra Krintz So in terms of analytics then, we need to make Amazon recommendations to farmers for things like irrigation scheduling or the application of inputs, fertilizers, pesticides, water.
- ▶ 10:36 Chandra Krintz So to enable that type of portability, we leverage our past work in cloud technologies so that anything that runs in Amazon and anything that runs in the Google Cloud platform will run on this appliance.
DJ Kleinbaum
- ▶ 8:04 DJ Kleinbaum Be, it's not outsourcing, it's virtualization, so we are much more similar to Taiwan Semiconductor or Amazon Web Services than we are to any of these CROs, because with the CRO, you're getting experimentation and, ah, consulting sort of…
- ▶ 15:11 DJ Kleinbaum This needs to be like the Amazon Prime of life sciences research, because if there's too long between when you submit your experiment and when we do it, it's not going to be useful to you, because we want this to be
Mobile Is Eating the World, 2015
- ▶ 23:17 Benedict Evans The obvious example of that, by far the biggest example of this kind of approach is Amazon, which is a retailer built around technology, and as you can see, this chart shows you their revenue and their net income back since launch, and… 8 times in the scene
Supernovas and Novel Insight: Where Machine Learning is Headed Next
- ▶ 11:16 Josh Bloom We all know about Amazon recommendation engines.
Mobile Is Eating the World, 2014
- ▶ 7:41 Benedict Evans Google, Apple, Facebook, Amazon are almost 20%. 2 times in the scene
- ▶ 10:15 Benedict Evans On the other hand, Amazon is a company that's built around technology. 4 times in the scene