Amazon, every mention

31 scenes (2016), the whole family · ← back to Amazon

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every year 2016 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

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A Process for Discovery // Hilary Mason, Fast Forward Labs [FirstMark's Data Driven] Dec 8, 2016 · 1 mention

  • ▶ 18:23 Hilary Mason Here's another view of the LDA approach where you can throw in all of the, in this case, product reviews from Amazon and have it say, of these 5000 reviews, here are the clusters and here are the sentences that are typical of what people…

Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven] Nov 9, 2016 · 2 mentions

Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven] Nov 9, 2016 · 3 mentions

  • ▶ 10:13 Nick (Domino Data Lab) These are Amazon hardware tiers, though this can also run on premise, but, you know, Amazon now has a 128 core, two terabyte of, of RAM machine. 2 times in the scene
  • ▶ 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…

Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven] Nov 9, 2016 · 1 mention

  • ▶ 30:01 Antoine Bordes We, we do, like, many models, and actually sometimes we use, like, Amazon Mechanical Turk to just label a subset of the, of the data, depending, because these are the example where the model fails all the time, or because there are…

Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark) Sep 30, 2016 · 3 mentions

  • ▶ 17:10 Jeremy Stanley Yeah, so all of our production data is in Postgres, and we will read from the secondaries in AWS.
  • ▶ 17:16 Jeremy Stanley Um, we push all of the Postgres data into Redshift, uh, and do a lot of more intensive batch computations off of Redshift. 2 times in the scene

The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark) Sep 30, 2016 · 2 mentions

  • ▶ 3:46 Praveen Murugesan And, ah, for all the analytic log data, which basically tends to be, like, more in volume, ah, we left that data a copy in S three, ah, which was pretty smart at that point, because we really were not consuming it, but we still wanted to,…
  • ▶ 4:00 Praveen Murugesan There were very few teams, ah, engineering teams mostly, who wanted to, like, ah, do some, like, analysis on that data, and they would often, like, use EMR to, like, get that, ah, analysis done.

Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark) Sep 30, 2016 · 2 mentions

  • ▶ 16:34 Matt Turck That, ah, you know, was, was paralyzed by, ah, Innovator's Dilemma, that type of thing, and if you fast forward to today, and now all the little AI startups are essentially competing against Google, and Facebook, and Uber, and, ah, you… 2 times in the scene

Why Marketing is All About Data // Nitay Joffe, ActionIQ [FirstMark's Data Driven] Jun 16, 2016 · 1 mention

  • ▶ 3:15 Nitay Joffe So, you know, Amazon and Netflix do a great job of, of recommending things to you, but that's really just one slice of the entire

The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark) Apr 13, 2016 · 2 mentions

  • ▶ 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.

A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark) Apr 13, 2016 · 6 mentions

  • ▶ 3:32 Haoyuan Li Say for example, you may have cloud storage like Amazon S three, Microsoft storage, have Google storage like Google cloud storage,
  • ▶ 6:00 Haoyuan Li Like you have Amazon, SIII, Swift, OSS from Alibaba, you have HDFS, Gloucester, and this list goes on and on.
  • ▶ 6:00 Haoyuan Li Like you have Amazon, SIII, Swift, OSS from Alibaba, you have HDFS, Gloucester, and this list goes on and on. 2 times in the scene
  • ▶ 13:31 Haoyuan Li And there's another one, you run Impala on top of Aluxio, Aluxio on top of Amazon S III. 2 times in the scene

Using AI to Predict the Performance of Text // Kieran Snyder, Textio (Data Driven NYC / FirstMark) Mar 18, 2016 · 1 mention

  • ▶ 19:38 Kieran Snyder So, not surprisingly, if you're an engineer in the Pacific Northwest and you choose to work at Expedia compared to Microsoft or Amazon, maybe you're interested in travel.

Combining Machine Learning With Expert Human Judgement // Eric Colson, Stitch Fix Mar 18, 2016 · 6 mentions

  • ▶ 0:45 Eric Colson So, here's a screenshot from Amazon, where it's recommending products to me, probably using a collaborative filtering algorithm on the top, and maybe an affinities algorithm on the bottom.
  • ▶ 7:02 Eric Colson We've all had a goofy recommendation on Amazon before you buy something for your niece or nephew, you're forever plagued with kid toys, right?
  • ▶ 7:47 Eric Colson Now, we run in Amazon's cloud, and that provides us virtually limitless access to machines.
  • ▶ 8:04 Eric Colson These are not Mechanical Turk
  • ▶ 14:33 Eric Colson There's been one at Amazon years ago.
  • ▶ 15:07 Eric Colson We use the usual tools, um, S-Tree and Spark.

A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark) Mar 18, 2016 · 11 mentions

  • ▶ 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) Mar 18, 2016 · 16 mentions

  • ▶ 21:43 Peter Fenton It's such a great case study if you're building an open source company for, go as far as you possibly can without thinking about monetization, because what, what ultimately, if you're open core, um, which gets this other issue of Amazon,…
  • ▶ 24:44 Peter Fenton It's how do you deal with Amazon? 10 times in the scene
  • ▶ 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.
  • ▶ 45:49 unnamed speaker Um, you made a comment that, how Amazon is the biggest problem facing open source now. 4 times in the scene

Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital) Jan 25, 2016 · 1 mention

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