Amazon Web Services, every mention
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tap a year for its mentions
every year anyone Matt Turck 34Benedict Evans 16Ben Uretsky 10Prat Moghe 9Aaron Katz 9Spencer Kimball 8Ali Ghodsi 8Savin Goyal 7Aravind Srinivas 7Erik Bernhardsson 6
Verbatim, from the transcripts: the passages where Amazon Web Services comes up
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 23:31 Jack Hanlon Snowflake, on the other hand, okay, so you could put Snowflake on top of AWS,
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 3:20 Savin Goyal Uh, we are an AWS shop.
- ▶ 21:44 Savin Goyal So, uh, so Netflix is an AWS shop. 6 times in the scene
Introducing Kedro
- ▶ 16:22 Kedro Product Manager So they actually did, um, the AWS team actually did feature, um, Kedra on the blog. 2 times in the scene
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 3:05 Alok Gupta Where we, we build, uh, products and services to help us in the things we're trying to do, but ultimately we get them to a stage of maturity and robustness through experimenting on ourselves where we can then offer them as white label…
- ▶ 22:22 Alok Gupta Databricks runs on AWS.
Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
- ▶ 1:14 Ashley Kramer And I learned the importance of cloud because AWS was starting to grow up.
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 5:04 George Fraser Uh, which is a data warehouse that you can buy from Amazon Web Services. 2 times in the scene
- ▶ 36:08 George Fraser Uh, and, uh, and we didn't spend a ton of money on AWS, and we only had one other person who joined the company in that, in that first phase.
- ▶ 39:55 George Fraser I, I, I always tease our, uh, our data warehouse partners that if they were to look at our AWS account, they would be like, that's for one customer, right? 2 times in the scene
Fireside Chat: Jerome Pesenti (Head of AI, Facebook) with Matt Turck (Partner, FirstMark)
- ▶ 25:39 Matt Turck Partnering with AWS, right, on the, on the, on the PyTorch release. 2 times in the scene
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 17:49 Matt Turck Obviously, the, I mean, the very clear objective is to take over, uh, AWS and Azure.
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…
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 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.
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 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.
- ▶ 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…
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 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
Why Does The World Need Another Computer? // Anant Bhardwaj, Instabase (FirstMark's Data Driven NYC)
- ▶ 5:29 Anant Bhardwaj And we might think of, like, this could be one, which is Amazon Web Services, many of you already know.
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 11:26 Mike Tuchen AWS, but what in AWS, right?
- ▶ 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.
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.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
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%.
- ▶ 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
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.
- ▶ 23:15 Diego Oppenheimer So we have good relationships with all the cloud providers, and some of them we actually do co-selling experiences with them where, you know, we're, you know, we're informing their sales forces to say, hey, this is a product that exists on…
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 18:06 Bradford Cross They're looking at Amazon AWS and they're saying, shit, we missed it.
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 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
- ▶ 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.
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…
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
Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
- ▶ 18:26 Ashish Thusoo There has been traditionally one cloud vendor, which is AWS. 2 times in the scene
Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
- ▶ 16:22 Nick (Domino Data Lab) Ashish said, um, a lot more of the, we see a lot more of the Fortune 1000 interested in the cloud, and it's, um, it's sort of a slower moving thing, and, and, but we see a lot of folks wanting to use VPC environments, so they're…
Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
- ▶ 17:10 Jeremy Stanley Yeah, so all of our production data is in Postgres, and we will read from the secondaries in AWS.
The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)
- ▶ 15:06 Prakash Nanduri We have over 25 customers leveraging this in a multi-tenant elastic cloud environment running on AWS, and we also have the largest government federal intelligence community customers or the financial services customers deliver, running…
- ▶ 18:32 Prakash Nanduri AWS, Azure, and potentially Google.
Combining Machine Learning With Expert Human Judgement // Eric Colson, Stitch Fix
- ▶ 7:47 Eric Colson Now, we run in Amazon's cloud, and that provides us virtually limitless access to machines.
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 24:24 Eliot Horowitz On the other hand, everyone needs someone to run the database, to back up the database, to manage the database, you know, just like they do with, you know, Amazon or the Google or Microsoft Clouds, you know, people need people to help them. 2 times in the scene
- ▶ 25:14 Matt Turck So precisely to this point about the, the, the cloud, what do you think about the, about Amazon as, uh, you know, a company that has displayed a, a, um, a little bit of a tendency to take open source projects and offer them as a service,… 9 times in the scene
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 24:47 Peter Fenton And, and none of us, by the way, have an appreciation for how big a threat that is, and I think it's a near certainty Amazon's gonna do a hundred billion in revenue in AWS.
B2B Big Data Challenges, Nick Mehta, Gainsight (Data Driven NYC / FirstMark Capital)
- ▶ 20:45 Nick Mehta So combination of AWS services, a little bit of Heroku as well, Redshift, MongoDB, Postgres.
Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)
- ▶ 12:41 Ramana Rao So we have, um, all, most of it running on AWS.
Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
- ▶ 8:05 Spencer Kimball Leave that to the AWS people, leave that to Google's cloud people, um, you shouldn't have to notice.
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 3:37 Bob Muglia Um, if you think about infrastructure as a service, and of which Amazon's core, AWS is an example, Azure is another example, infrastructure as a service really takes away the data center and the, the hardware, but it leaves the task of… 2 times in the scene
- ▶ 19:00 Atul Chabra Because, uh, running in AWS, you have access to ample computer storage resources, but it,
Scott Crouch and EJ Bensing, Mark43 // Reimagining Police Software (Hosted by FirstMark Capital)
- ▶ 16:26 Scott Crouch so I mean, um, you know, where we're moving it to is, uh, Amazon Web Services has something called USGovCloud, which is basically their compliant version of their lovely AWS system. 2 times in the scene
Ion Stoica, Databricks // Creating Apache Spark // Data Driven NYC (FirstMark Capital)
- ▶ 15:27 Ion Stoica Ah, today we run in Amazon, AWS.
- ▶ 25:49 Ion Stoica You know, if you, if you hear, ah, you know, if you listen to Amazon, they tell you that they have one million customers on AWS.
Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
- ▶ 19:30 Chris Wiggins Actually, the, one of the people who, who sort of is in charge of data architecture just arrived from, um, Amazon, and he's well literate in all of AWS and Dynamo for that matter.
John Rauser, Pinterest // Big Data at Pinterest // Data Driven NYC (Hosted by FirstMark Capital)
- ▶ 0:42 John Rauser Uh, I am currently a data scientist at Pinterest, uh, but before I joined Pinterest, I worked at Amazon for eight years, and for the last two of those eight years, I worked in AWS infrastructure. 2 times in the scene
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 5:38 Vance Loiselle We run about a 2000 node cluster right now in AWS.
- ▶ 8:12 Vance Loiselle First, and you hear a lot about cloud, and it was great, the previous presentation about Mesosphere, about AWS. 3 times in the scene
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 10:51 Tobi Knaup And so, uh, infrastructure 2.5 was, um, we used, uh, AWS Elastic MapReduce, so we no longer had to, um, you know, manage the Hadoop cluster ourselves. 2 times in the scene
Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
- ▶ 8:29 Ashish Thusoo I think AWS has, like, uh, the Amazon Cloud has, like, twenty-odd machines, maybe even more.
Amit Bendov, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 25:34 unnamed speaker So if we assume this is great, how quickly do we load this onto AWS or other cloud platforms to, uh, start running? 2 times in the scene
Michael Schmidt, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 3:14 Michael Schmidt Um, it runs locally on your own machine, or it can go out into the cloud, into Amazon's cloud at, at a click of a button.
Ian White, Sailthru // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
"The Business of Data" Panel // October 2011
- ▶ 2:32 Roger Ehrenberg Uh, on the one hand, you've got, you know, things like, you know, EC-II and AWS, which facilitate, you know, the storage of massive amounts of data without your own, um, your own big iron architecture, and at the same time, the, the CPUs…
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