Facebook, every mention
27 scenes (2014), the whole family · ← back to Facebook
tap a year for its mentions
every year 2014 anyone Matt Turck 109Benedict Evans 31Justin Borgman 17Antoine Bordes 15Chris Dixon 11William Falcon 10Mike Dauber 10Stanislas Polu 9Sean Gourley 9Jerome Pesenti 8
Verbatim, from the transcripts: the passages where Facebook comes up
Yann Lecun, Facebook // Artificial Intelligence // Data Driven #32 (Hosted by FirstMark Capital)
- ▶ 0:41 Matt Turck Um, you, uh, joined Facebook. 4 times in the scene
- ▶ 11:17 Matt Turck And, uh, so really just, just, um, leading all the way to, to Facebook, um, so, so you joined a year ago.
- ▶ 14:12 Matt Turck So, you know, AI went through this long period that, you know, you're probably more familiar than anybody else, ah, you know, where, where it just wasn't the hot thing, ah, anymore at all, and now, you know, what, over the last couple of… 2 times in the scene
- ▶ 29:28 Yann LeCun So, uh, it was, it was, it was, it was quicker, it was picked up very quickly by, you know, Google, IBM, Facebook, et cetera, uh, Microsoft, uh, in, in the space of a few months, whereas 5 times in the scene
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 4:33 Mike Olson Um, but in that search, I came across the data team at Facebook that Jeff Hammerbacher was running, the analytics team at Yahoo that Amr Awadalo was running,
Matthew Zeiler, Clarifai // Data Driven #31 // Nov 2014 (Hosted by FirstMark Capital)
- ▶ 4:36 Matthew Zeiler Uh, Google quickly, uh, hired Jeff Hinton after some recent results, and the same thing with Facebook.
Mike Abbott, KPCB // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital)
- ▶ 18:27 Mike Abbott I think one of the reasons why you're seeing large advances in companies like Google and Facebook is that they have a lot of tagged images.
- ▶ 21:29 Mike Abbott People are using Facebook.
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 7:34 Vance Loiselle And so, everything from how your app performs, how your operations team meets its SLAs, how you, you know, display your security posture and measure it, how you support your customer and understand what's happening, what are they saying on…
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 14:35 Tobi Knaup Um, so they're running Kafka, and Cassandra, and Presto, which is, um, you know, a SQL query engine out of Facebook.
Chris Lynch, Atlas Venture // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
- ▶ 14:35 Chris Lynch I know that, you know, and it's probably controversial with the Facebook generation, you know, or these people that have watched too many reruns of the social network, or, you know, they're recent graduates of Techstars where you can be an…
Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
- ▶ 0:45 Rachel Schutt The first is that when I think about data science and how it's evolved as a career path over the last few years, it started at companies such as Google, Facebook, and LinkedIn, um, which are inherently data companies where they're
Panel Discussion // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
- ▶ 12:47 Jeff Stewart Maybe, maybe Alibaba, maybe Tencent, could be Facebook, could be Google, but I think these network companies are very well positioned to be big players in financial services.
Renaud Laplanche, Lending Club // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
- ▶ 17:16 Mario Baldi Um, uh, you, um, you said that you're using, for example, Facebook information to detect whether there was a fraud. 3 times in the scene
- ▶ 17:28 Mario Baldi Do you ask the user to give you access to their, uh, to their Facebook profile, and then you use the Facebook API, or, uh, you do have other ways?
Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
- ▶ 1:15 Ashish Thusoo At Facebook, where I did a lot of work, uh, in creating, uh, their clusters, uh, the analytics clusters and so on and so forth. 2 times in the scene
- ▶ 11:00 Ashish Thusoo Similar, uh, similarly, you know, the, the, the, you know, you know, having, you know, run big clusters at, uh, at Facebook, I remember, um, conversations with the procurement team where it was like a big capacity planning exercise trying…
- ▶ 18:42 Ashish Thusoo So that's an excellent question, and, ah, there is definitely an, there, ah, you know, there is an inflection point where people, ah, think that, ah, the total cost of ownership, ah, you know, once you're, ah, so suppose you're a Facebook…
Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
- ▶ 10:19 Sean Gourley The huge amount of electricity that runs the multitude of data centers that run around the world, storing our information, running our algorithms on top of it, and serving us up our latest friend, um, update on Facebook. 6 times in the scene
- ▶ 12:37 Sean Gourley And up and to the right, all history, pretty much, and mostly me, Facebook. 2 times in the scene
Jake Klamka, Insight Data Science // Data Driven #25 (Hosted by FirstMark Capital)
- ▶ 6:45 Jake Klamka We've got about 15 at Facebook, half a dozen at Yammer, Microsoft, half a dozen at Square, two at Airbnb, a number, all these other companies have multiple fellows working at them.
- ▶ 10:25 Jake Klamka So think something like, you know, people you may know on Facebook or jobs you might be interested in on LinkedIn.
Tasso Argyros, Aster Data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 5:17 Tasso Argyros And that was back in 2007 where MySpace, you know, had kind of was at the height where probably Facebook is today.
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 8:06 Joe Reisinger Like, um, you know, Facebook and Twitter and social networks and, you know, whatever, right?
Scott Sorensen, CTO of Ancestry.com // Data Driven 19 // October 2013 (Hosted by FirstMark Capital)
- ▶ 16:50 Scott Sorensen You can have sparse data, so there's no penalty for empty cells, and there's a, you know, a really, there's some really good support and work being done by companies like Facebook and Salesforce.com to continue to develop HBase.
- ▶ 23:09 Scott Sorensen There's an open culture in the data, in the kind of big data world, data science world, and we found that people at Facebook and LinkedIn and, and Netflix and, uh, Pinterest, you know, they're willing to share their stories if you're…