Amazon, every mention
39 scenes (2017), the whole family · ← back to Amazon
tap a year for its mentions
every year 2017 anyone Matt Turck 122Benedict Evans 33Bob Muglia 25Spencer Kimball 18Prat Moghe 18Evan Kaplan 16Justin Borgman 15Tristan Handy 14Nate Stewart 13Aaron Katz 13
Verbatim, from the transcripts: the passages where Amazon comes up
The Evolution and Impact of AI // Ash Fontana, Zetta Venture Partners
- ▶ 13:47 Ash Fontana Um, and so the asset they built, they built by convincing all their customers that they need to start pulling data to beat Amazon, because they do.
Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
- ▶ 5:32 Auren Hoffman So this is the course, the core struggle for almost every single company, except for maybe Google, Facebook, Amazon, Tencent, that has to deal with all these, these types of issues.
- ▶ 12:03 Auren Hoffman It's, unless you're Google, Facebook, Amazon, Tencent, a couple of others, you have a very small sliver of what's happening in the world.
Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
- ▶ 8:34 Dr. Bob Sohval But momandpop.com is going to have a very different order of magnitude attack surface than Amazon or Microsoft.com or something of that sort.
You Are What You Stream // Christine Hung, Spotify (FirstMark's Data Driven)
- ▶ 18:31 Christine Hung Collaborative filtering is like classic what Amazon does.
Data-Driven Real Estate Investing // Jean Sini, Cadre (FirstMark's Data Driven)
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 17:11 Bradford Cross And so what it's created is a, is basically a sort of a graveyard of these companies that think that they can do what Google or Amazon or Microsoft are now trying to do with this machine learning as a service stuff. 2 times in the scene
- ▶ 18:06 Bradford Cross They're looking at Amazon AWS and they're saying, shit, we missed it.
- ▶ 19:40 Bradford Cross So in reality, you don't even have that many good ones that are outside of that at Amazon and Netflix and LinkedIn, et cetera.
- ▶ 25:47 Bradford Cross I also have a data network effect, um, and I think there's loads of these types of opportunities in, in enterprise software, um, or in SaaS software, where, where you're getting kind of the B to B scenario, right, where you're using the…
- ▶ 33:09 Bradford Cross Now I'm storing a bunch of your PII data on my servers or in Amazon or something.
AI and a Different Type of Competitive Advantage // Omar Tawakol, Voicera (FirstMark's Data Driven)
- ▶ 10:55 Omar Tawakol You know, voice that's out there, voice over the phone, transcribed voice over the phone, which we did, and then, um, we went out and we bought labels through things like Mechanical Turk. 2 times in the scene
- ▶ 16:36 Omar Tawakol Um, my co-founder ran the applied AI group for Facebook reporting to Jan LeCun in, in Palo Alto, so he brought in engineers from LinkedIn, from Apple, from Google, uh, from Amazon, uh, so it's pretty heavy, uh, kind of machine learning…
- ▶ 19:47 Omar Tawakol So first of all, what's happening is get up is a lot of people, uh, are getting used to talking to Siri and Alexa. 3 times in the scene
VC Fireside Chat // Rebecca Lynn, Canvas Ventures (FirstMark's Data Driven)
- ▶ 6:39 Rebecca Lynn I look at how, I have three little kids, and I look at how they interact with Alexa, and literally we went from an Alexa in one room to everyone got the little dots. 3 times in the scene
- ▶ 12:11 Matt Turck So, so you'll hear some, some people say they want to completely stay away from horizontal investments because ultimately that's what, you know, Google and Facebook and Amazon are going to want to do. 2 times in the scene
- ▶ 12:50 Rebecca Lynn So with Mechanical Turk, they, the Crowdflower sort of added that whole other layer.
AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
- ▶ 6:18 Stan Christiaens And three, and this is a belief of me that could be wrong, is that actually the big tech firms, Amazon, Facebook, Google, Microsoft, and all the others, they're using AI and machine learning as their next feature war.
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 0:51 Prat Moghe All you do is you spin up a Redshift cluster, you spin up an EMR cluster, and you get going, uh, and then you talk to the people
- ▶ 0:51 Prat Moghe All you do is you spin up a Redshift cluster, you spin up an EMR cluster, and you get going, uh, and then you talk to the people
- ▶ 3:02 Prat Moghe I mean, AWS was a clear leader a few years back, but now Azure's come along, and then Google's there.
- ▶ 6:54 Prat Moghe Um, what we've done is we've actually looked at how long it takes for these companies to actually move in the cloud and build around AWS, build around Azure, 6 times in the scene
- ▶ 7:17 Prat Moghe What's faster, Impala or Redshift? 2 times in the scene
- ▶ 7:26 Prat Moghe And then, uh, what about S three versus blob store? 3 times in the scene
- ▶ 12:54 Prat Moghe So then why do you care if this is AWS and Redshift and Azure in the East region and all that?
- ▶ 12:54 Prat Moghe So then why do you care if this is AWS and Redshift and Azure in the East region and all that?
- ▶ 13:42 Prat Moghe Is at the bottom most layer you got cloud, which is AWS or Azure.
- ▶ 13:57 Prat Moghe We picked Redshift and Greenplum for SQL.
- ▶ 17:56 unnamed speaker But, but I'm interested when you get into bigger companies as well who have really smart, ah, and knowledgeable people, you know, my sense is they want to kind of get under the covers and make the choice of Redshift versus this and that.
Fake News, Alternative Facts and the Enterprise // Satyen Sangani, Alation (FirstMark's Data Driven)
- ▶ 15:21 Satyen Sangani Yeah, so it's inspired by, um, things like Stack Overflow and Amazon and Wikipedia. 2 times in the scene
The Power of GPU Analytics // Todd Mostak, MapD (FirstMark's Data Driven)
- ▶ 12:26 Todd Mostak And so here we can see that Amazon was actually their main channel for some time, ah, but after a while, actually, Amazon declined, and Best Buy has, ah, kind of taken over to some, to some extent, and, um, you know, it's kind of leveling… 2 times in the scene
- ▶ 16:44 Todd Mostak However, one of the great stories of 2016 is that all the major cloud providers, Amazon, Google, Microsoft, basically added big GPU instances to their cloud, so we're making a significant push there as well.
Rethinking Predictive Analytics // Yaniv Altshuler, Endor (FirstMark's Data Driven)
- ▶ 13:37 Yaniv Altshuler This is the raw data, also partially hashed, and the, the integration is just taking the data, the large CSV file, putting it on an AWS S-tree bucket that we created for this purpose, and telling the system which column we want to ask…
- ▶ 13:37 Yaniv Altshuler This is the raw data, also partially hashed, and the, the integration is just taking the data, the large CSV file, putting it on an AWS S-tree bucket that we created for this purpose, and telling the system which column we want to ask…
Panel: Alternative Data in Financial Services (FirstMark's Data Driven)
- ▶ 20:12 unnamed speaker Other stocks, um, either for obvious reasons, like foot traffic doesn't do much for Netflix or Amazon, right, um, or for other reasons, we are not as predictive, um, and there can be a lot, you know, foot traffic is only one component of…
Leveraging AI in the Enterprise // Kuang Chen, Captricity (FirstMark's Data Driven)
- ▶ 8:55 Kuang Chen What if there was, just like AWS infrastructure became, made it a whole lot easier for developers, an AI infrastructure that made it so that business users could order up solutions that met these criteria, right?
- ▶ 20:02 unnamed speaker So if I say on one side on the AI, I have machine learning componentry from AWS, IBM, and certain aspects, and then
- ▶ 21:01 Matt Turck In terms of like Amazon and being able to come play in your territory, that's less likely.