Amazon, every mention
576 scenes, the whole family · ← back to Amazon
tap a year for its mentions
every year 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
Fireside Chat with Olivier Pomel (Founder & CEO of Datadog) and Matt Turck (Partner at FirstMark)
- ▶ 3:44 Olivier Pomel Um, a lot of the value prop for the cloud, you know, for Amazon Web Services and now Google and Azure, uh, is that instead of having a development team that builds an application and then, you know, you need to spend six months filing…
- ▶ 16:38 Olivier Pomel So we tell them, hey, you have, you're having an issue right now on Amazon, the OSS one, and it's not just you.
NLP—The Most Important Field of ML // Clement Delangue, Hugging Face (FirstMark's Data Driven NYC)
- ▶ 12:23 Clement Delangue A popular one in terms of, like, uh, public, uh, view, view in it, conversational, so obviously Siri, Alexa, uh, Square, for example, uses, uh, Transformers to, uh, power their customer support, uh, chatbots.
- ▶ 22:04 Clement Delangue Uh, so we believe that actually if, uh, all the other companies than Facebook, Google, Apple, Amazon, uh, are actually all contributing to the same open source, uh, technology, they can actually end up with something way better, uh, than…
Production AI: Lessons Learned the Hard Way // Adam Wenchel, Arthur.ai (FirstMark's Data Driven NYC)
- ▶ 15:59 Adam Wenchel They're using DataRobot, and H-to-O, and open source, and cloud providers like AWS SageMaker, and things like that.
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 2:25 Ahmed Elsamadisi We started with Redshift, and then we ended up buying Snowflake.
- ▶ 18:26 Ahmed Elsamadisi Where you'll quickly start seeing that the speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 4:26 Matt Turck Well, I can do this, but like Amazon is going to steal your business. 4 times in the scene
- ▶ 9:44 Matt Turck Amazon, but there's been like some, you know, Chinese cloud providers as well. 10 times in the scene
- ▶ 10:09 Mike Volpi So Amazon or a Chinese service provider, whoever could comfortably take it and run the software with it, and that's what, like, Elastic MapReduce on Amazon runs on.
- ▶ 11:14 Mike Volpi They wrote something called DocumentDB, which is a copy, effectively, with API compatibility to Mongo and launched that.
- ▶ 23:36 Mike Volpi Um, companies like Federal Express or, um, UPS or Amazon are interested in delivering goods to your house.
- ▶ 32:01 unnamed speaker Um, you know, just recently the government gave Azure a ten billion dollars contract over Amazon. 6 times in the scene
Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
- ▶ 21:05 Kurt Rohloff Amazon's making plenty of money off of it.
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 15:54 Rich Waldron Um, be it we have a CSV connector which we were tested out, ah, a customer tested us on very recently by dropping a four gig CSV file into that to see if we could batch it up and break it up and put it into a Redshift database and
- ▶ 16:47 unnamed speaker It's kind of the same struggle when you have with AWS, where you get sprawl and you give people enablement.
(Actually) Listening at Scale // George Davis, Founder & CEO (FirstMark's Data Driven NYC)
- ▶ 2:46 George Davis We have public forums, so Twitter as Matt's accepting questions on, or, ah, or, ah, review sites like Amazon or Google.
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 4:53 Gary Marcus Um, another technique is speech recognition, and, you know, the fact that Siri or Alexa can understand your syllables is primarily because deep learning is very good at recognizing categories like words, and so, um, that's revolutionized…
- ▶ 6:29 Gary Marcus Um, by people working for Amazon Mechanical Turk and similar.
Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 19:43 Benn Stancil Um, which tools are they using if they're investing in other data tools, if they're investing in, in data warehouses like Redshift or Snowflake or, or even stuff like Oracle or Vertica.
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 2:55 Justin Borgman Um, this is, uh, maybe a little hard for some of you guys to see, uh, but it shows at the top, uh, a variety of popular BI tools that you can connect to using ODBC or JDBC drivers, and on the bottom, a variety of data sources, and you'll…
- ▶ 3:23 Justin Borgman Uh, if you're an AWS user, you might have heard of something called Athena. 2 times in the scene
- ▶ 3:23 Justin Borgman Uh, if you're an AWS user, you might have heard of something called Athena.
- ▶ 8:07 Justin Borgman So we'll, we'll just use AWS as an example here.
- ▶ 8:10 Justin Borgman You have EC two, which is your compute, and you have S three, which is your storage. 2 times in the scene
- ▶ 8:10 Justin Borgman You have EC two, which is your compute, and you have S three, which is your storage. 2 times in the scene
- ▶ 10:17 Justin Borgman So even though that data lives in S-III,
- ▶ 10:34 Justin Borgman So, you know, a few years ago, a lot of people were moving data from, let's say, a large database or data warehousing appliance into HDFS, the Hadoop file system, but now many people are moving that into S three.
- ▶ 10:49 Justin Borgman You might have had Cloudera or Hortonworks on-prem, and now you're thinking about, you know, how that's going to look in AWS.
Fireside Chat: Ben Uretsky, Founder of DigitalOcean (FirstMark's Data Driven NYC)
- ▶ 3:20 Ben Uretsky Um, but even more important, Amazon Web Services had started to become mainstream, and so virtualization and cloud computing was starting to really dominate the landscape, and we became very concerned about a five-year outlook for that… 6 times in the scene
- ▶ 7:48 Ben Uretsky Uh, how do you enter the cloud market that was essentially dominated by AWS? 2 times in the scene
- ▶ 18:09 Ben Uretsky Um, you know, or, you know, even with, um, AWS or DigitalOcean for that matter, we all have incubator and accelerator programs with a ton of credit.
- ▶ 28:11 Ben Uretsky Sometimes you need to crunch a new data set, or try out a new data, ah, project, and if you have to go to AWS today, I'm sure you're gonna really enjoy, you know, spinning up that new server, spinning up that new project, and what we're…
Fireside Chat: Martin Casado, General Partner at Andreessen Horowitz (FirstMark's Data Driven NYC)
- ▶ 15:16 Martin Casado But like, if you look at companies, um, like, I think maybe AWS was kind of the progenitor of a lot of this.
- ▶ 20:26 Martin Casado You know, AWS is hugely proprietary, but it's based on a lot of open source software, and even if everything is open source, often, like, all of the operational code required to stand up these large environments is proprietary, or there's…
- ▶ 22:31 Martin Casado These larger incumbents, you know, Google, Amazon, and Microsoft to compete against with you. 2 times in the scene
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 13:25 Dillon Erb Uh, how do we beat Google, Amazon, everyone else?
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 13:03 Nick Rockwell I'm still a certain asset running at Amazon.
- ▶ 13:38 Nick Rockwell Of our own least, you know, data centers, a lot of stuff in, in AWS, some of it in the VPC, some of it's just laying around in like AWS classic, um, and not really a strategy around what, how, why we were doing what. 5 times in the scene
- ▶ 18:54 Nick Rockwell I think it's true, and the other, um, factor, the really, the bigger factor is that the level of investment going into infrastructure from the big cloud providers dwarfs, and even, even, you know, the investment of effort that, like, a…
- ▶ 21:06 Matt Turck In a different data center, which is Amazon's or Google's, right? 2 times in the scene
5 Key Learnings About Intelligent Agents // Dennis Mortensen, x.ai (FirstMark's Data Driven NYC)
- ▶ 8:45 Dennis Mortensen They're probably going to spin up a new instance on Amazon through the command line.
- ▶ 9:13 Dennis Mortensen Just like, uh, I love my Alexa.
- ▶ 18:21 Dennis Mortensen Any one of you who's got some Amazon Alexa device will see that every 10 days they'll send you a long email suggesting you can do these 50 things.
Why Does The World Need Another Computer? // Anant Bhardwaj, Instabase (FirstMark's Data Driven NYC)
- ▶ 5:14 Anant Bhardwaj Earlier people used mainframes with terminals, then basically we went into servers and desktops, and now we are basically getting into this cloud with Amazon and Google Cloud and Microsoft.
- ▶ 5:29 Anant Bhardwaj And we might think of, like, this could be one, which is Amazon Web Services, many of you already know.
- ▶ 16:47 Anant Bhardwaj You can run it anywhere, which could be on your local host, on any cluster of machines, on Amazon or Google Cloud or whatever.
Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)
- ▶ 17:29 Allon Bloch And plus, you have, you have Apple, Amazon, and Google that are very likely to be in this market and probably compete directly here.
$0 to $60M in 2 Years // Bob Moore, Crossbeam (FirstMark's Data Driven NYC)
- ▶ 7:13 Bob Moore Because the release of Amazon Redshift, and the data warehousing tools, ah, that compete with Redshift afterward, ultimately, ah, threw a wrench right in the middle of this system. 2 times in the scene
- ▶ 8:10 Bob Moore Companies like Looker came onto the scene, companies like Periscope, Chartio Mode, ah, and companies put out by much larger companies like, ah, Tableau, the Power BI product sweep, Amazon release QuickSight, all of these BI solutions at…
- ▶ 8:10 Bob Moore Companies like Looker came onto the scene, companies like Periscope, Chartio Mode, ah, and companies put out by much larger companies like, ah, Tableau, the Power BI product sweep, Amazon release QuickSight, all of these BI solutions at…
A New Kind of Logging System // Zach Sherman & Ben Johnson, Timber (FirstMark's Data Driven NYC)
- ▶ 9:11 Zach Sherman Um, the data plane requests information from the control plane about where data should be going, and then it flows through from sources through this transformation step, uh, into the actual syncs, and so that could be S three, or Splunk,… 2 times in the scene
- ▶ 9:32 Zach Sherman So just like the old diagram, you see data still comes in from all of our clients, gets put on a, put on a Kafka or Kinesis stream.
- ▶ 10:54 Zach Sherman And so this lets you actually sample the data and determine like, hey, maybe I only want to send, uh, 20% of the data to Splunk and a hundred percent of it to S three because I'm in financial services and I need to store that data for…
- ▶ 12:51 Zach Sherman Basically, people are sampling the request that they sent to Splunk, still using it because it's a great tool, but they're also using a different time series database, and then they're sending all of that data to a cheaper long-term store,…
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 8:07 Matt Turck Uh, created, but you have, so the databases, this is what I'm talking about, the databases, um, on one side as a source, and then you have the processing layer, uh, that used to be Teradata Oracle IBM, which is now Spark, Snowflake,… 3 times in the scene
- ▶ 11:26 Mike Tuchen AWS, but what in AWS, right?
- ▶ 22:25 Mike Tuchen It should be like a Google searchable thing or probably better, better analogy is like an Amazon searchable thing because you can search for it and then get a little, you know, sort of selector window on the side saying drill down by a…
- ▶ 33:32 unnamed speaker And if the cloud vendors are taking different strategies, they're taking away a partnership with Google, they have this partnership strategy and serve entities, serve entities, infrastructure like AWS.
- ▶ 35:18 Mike Tuchen Um, Amazon was first of the, by far the broadest, um, breadth of offerings. 5 times in the scene
- ▶ 36:08 Mike Tuchen Now they have a premise edition of RDS.
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 6:55 Spencer Kimball This is a pretty interesting and common way to run Cockroach, and it's similar to what Amazon's doing with Aurora.
- ▶ 6:55 Spencer Kimball This is a pretty interesting and common way to run Cockroach, and it's similar to what Amazon's doing with Aurora.
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 18:10 Florian Douetteau You can either use it on, Dataku is on-prem, but you can deploy it with Amazon very, very easily, and actually spin up EMR cluster or things on top of Kubernetes directly from the, from the platform.
- ▶ 18:10 Florian Douetteau You can either use it on, Dataku is on-prem, but you can deploy it with Amazon very, very easily, and actually spin up EMR cluster or things on top of Kubernetes directly from the, from the platform.
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
- ▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 6:05 Chris Dixon That's how you talk to your Alexa.
- ▶ 9:29 Chris Dixon Uh, I think for some applications, like speech, you know, uh, speech is going to be, I think, very tough for non, you know, I mean, like Google and Amazon with their, you know, with their, and Apple with their phones and the, and the, you…
- ▶ 9:29 Chris Dixon Uh, I think for some applications, like speech, you know, uh, speech is going to be, I think, very tough for non, you know, I mean, like Google and Amazon with their, you know, with their, and Apple with their phones and the, and the, you…
- ▶ 20:09 Chris Dixon They're not, uh, you know, and like, I love the Alexa and things, but what do you use it for?
A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
- ▶ 11:32 Ben Vigoda Now let's just see, let's just try out another, another audience on Alexa here. 2 times in the scene
Make AI Less Mysterious // Serkan Piantino, Spell (FirstMark's Data Driven)
- ▶ 19:39 Serkan Piantino So, uh, I think in the demo there that was running on Kate is on AWS.
- ▶ 23:03 Serkan Piantino Um, in a normal workflow, you have a huge number of logs, and let's say they sit in S three.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 0:25 Jon Hyman I'm sure Amazon is probably taking a look at this pretty hungrily to see what they can mine out of that data themselves.
- ▶ 1:31 Jon Hyman Facebook and Amazon and just countless others that are personalizing really well essentially raise the bar for everyone else regardless of what industry they're in.
- ▶ 4:41 Jon Hyman We would hit our data warehouse, um, which was not Snowflake, and, uh, we would upload it from, like, be 10 to hundred gigabytes or so of data, uh, based on a request, upload it into an S-III bucket, and then they would download it.
- ▶ 7:57 Jon Hyman So Kafka Connect takes these events out of Kafka, batches them together to be efficient, and then actually does the downstream sending to amplitude, redshift, um, all those other kinds of things.
- ▶ 12:09 Jon Hyman We're currently hosting our Elasticsearch instance on Amazon.
- ▶ 14:03 Jon Hyman I mentioned that we're running on Amazon Elasticsearch.
- ▶ 16:11 Jon Hyman So that's actually why we started the Elastic Hash service.
- ▶ 16:24 Jon Hyman And we were able to put it into Amazon, um, and then we ran out of disk space, um, and then we overwhelmed it. 3 times in the scene
- ▶ 20:31 Jon Hyman Uh, we, we've had some fun integration to Alexa or Facebook Messenger.
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 2:36 Matt Turck Um, somewhere, but, uh, last quarter, uh, AWS reported a, uh, ten billion run rate, uh, growing at 45%, and then Microsoft Azure, uh, reported a seven million dollar run rate accelerating at 98%.
- ▶ 5:15 Bob Muglia I think it's more like a five to seven year period, and, you know, we can almost think about Amazon finishing that first period now, because it was, what, 2008 when they launched? 2 times in the scene
- ▶ 12:52 Bob Muglia So I knew there'd be a lot of change, and that most of the interesting things that were happening outside of an Amazon, a Google, and a Microsoft were happening in smaller companies, and so I sought a company that had, ah, that was doing…
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 14 times in the scene
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 6 times in the scene
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 4 times in the scene
- ▶ 19:54 Bob Muglia Three, depending on whether you want to include Athena and Spectrum in that. 2 times in the scene
- ▶ 24:07 Bob Muglia I said we're on Amazon today and, you know, we're getting feedback about other clouds, so one of the biggest things is how can we help replicate data between systems, um, and ensure that, that companies are able to have their data and, and… 2 times in the scene
Every Business Will Need a Data Refinery // Mark Johnson, Descartes Labs (FirstMark's Data Driven)
- ▶ 4:19 Mark Johnson So Amazon as a data refinery for, um,
- ▶ 23:49 Mark Johnson Um, but yeah, so you look for things like that, like data, uh, government, uh, data sets, um, you know, you can look into things like social media, you can run things through Mechanical Turk, you can get pretty creative
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 4:34 Diego Oppenheimer In some cases, it might be with a little bit more beefy infrastructure, uh, doing on GPUs and on AWS or in Azure.
- ▶ 9:22 Diego Oppenheimer Three, it's actually software agnostic, so I can actually deploy this maybe in a data center inside AWS, maybe in a data center inside, you know, GCP, maybe I want to do it on premise.
- ▶ 10:11 Diego Oppenheimer Which means all, everything here that's not in graph is complete waste of either computational resource, or if I'm actually using it in the cloud, I'm just paying, I'm sure Amazon is not complaining, but, you know, you're just paying for…
- ▶ 15:50 Diego Oppenheimer So if I'm actually going to be calling data in a specific cloud client, it doesn't matter if that data is in S-III.
- ▶ 18:20 unnamed speaker I don't necessarily, because I'll give two names out, you know, data science experience from IBM and Amazon SageMaker, I'm sure your two biggest competitors, and those are not, those are not small competitors, so can you kind of expand on…