Google, every mention
45 scenes (2016), the whole family · ← back to Google
tap a year for its mentions
every year 2016 anyone Matt Turck 174Benedict Evans 40Spencer Kimball 37Dylan Patel 30Amr Awadallah 29Sridhar Ramaswamy 24Johnny Graettinger 23Jordan Tigani 20Neil Zeghidour 19Noah Weiss 18
Verbatim, from the transcripts: the passages where Google comes up
A Process for Discovery // Hilary Mason, Fast Forward Labs [FirstMark's Data Driven]
- ▶ 2:34 Hilary Mason You're the person who's most likely to be sitting in front of Google, who someone will call for help with something.
Marketing With Data // Katrin Ribant, Datorama [FirstMark's Data Driven]
- ▶ 13:38 Katrin Ribant Teach our system how to integrate data from Facebook, from Google, from, ah, DoubleClick, et cetera, et cetera.
Making Big Data Accessible Using the Cloud // Ashish Thusoo, Qubole [FirstMark's Data Driven]
- ▶ 18:51 Ashish Thusoo You know, Google is there.
Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
- ▶ 10:08 Jeremy Stanley If you look on the left, it's Google Maps travel time on the x-axis for our drivers in Manhattan, compared to on the y-axis is the actual delivery time. 2 times in the scene
Big Data at Slack // Noah Weiss, Slack (Data Driven NYC / FirstMark)
- ▶ 0:19 Noah Weiss Uh, went to Stuyvesant High School, went to Stanford, studied a mix of, kind of, computer science and econ, and then came back to New York to work at Google here in Chelsea, uh, and worked on a lot of our, kind of, structured data search… 4 times in the scene
- ▶ 0:41 Noah Weiss Uh, so came to New York, and basically before there was a thing called the Knowledge Graph, before we had acquired this company called MetaWeb, we were working on just kind of building a more structured understanding from all the…
- ▶ 10:22 Noah Weiss Google, and they can type in a bunch of words, and optionalization will work, and synonymization will work, and it'll do query expansion, and all these things that just help you actually find what you're looking for. 2 times in the scene
- ▶ 16:23 Noah Weiss And it's definitely not all public data, as in kind of like Google Web Search or, of course, for a local search. 2 times in the scene
- ▶ 16:55 Noah Weiss Uh, whereas Google, on the other hand, you know, they have a distinct head that they can use a lot of click feedback on that, that we don't benefit from. 3 times in the scene
- ▶ 17:30 Noah Weiss So imagine you're working at Google, you're working on the Android team, someone else works on the Chrome team. 2 times in the scene
- ▶ 21:24 Noah Weiss Um, if I had to guess, I'd say 90% of people had only worked on consumer software like Flickr, or Facebook, or Foursquare, Twitter, Google, whatnot. 2 times in the scene
- ▶ 22:59 Noah Weiss I think that's what companies are excited about is the potential kind of productivity gains from having that same approach that people took to make, you know, Spotify's Discover Weekly playlist, or Google Now, or the Facebook News Feed.
- ▶ 24:38 Noah Weiss Uh, but I think what we saw, what I saw having worked at Google, worked at Foursquare is that, uh, there's a tremendous kind of imbalance, I think, between people who are probably kind of sitting in this room who are really capable and…
Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark)
- ▶ 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… 10 times in the scene
- ▶ 19:58 Mike Dauber I'm sorry, have you seen Google Photos?
- ▶ 20:48 Mike Dauber You want to understand what, what Google's up to, and I will say, if you haven't gotten a briefing from GCP, it's pretty amazing where their heads are at with that.
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
- ▶ 1:10 Christopher Nguyen Uh, if anybody here used Gmail, Calendar, Doc Spreadsheets, uh, Google Apps, yeah, so if you do, you've, you've used a product that I worked on at Google.
- ▶ 1:10 Christopher Nguyen Uh, if anybody here used Gmail, Calendar, Doc Spreadsheets, uh, Google Apps, yeah, so if you do, you've, you've used a product that I worked on at Google.
- ▶ 1:10 Christopher Nguyen Uh, if anybody here used Gmail, Calendar, Doc Spreadsheets, uh, Google Apps, yeah, so if you do, you've, you've used a product that I worked on at Google.
- ▶ 3:52 Christopher Nguyen So I can do this, just natural language I can type, and it'll suggest just like a Google search, arrival delay, and day of week.
- ▶ 7:35 Christopher Nguyen And what I learned from Google Apps, particularly spreadsheets, is that when you bring people with different skills and different perspectives into the same workspace, whether synchronous or asynchronous, you get decision making much more,…
- ▶ 7:35 Christopher Nguyen And what I learned from Google Apps, particularly spreadsheets, is that when you bring people with different skills and different perspectives into the same workspace, whether synchronous or asynchronous, you get decision making much more,…
- ▶ 9:03 Christopher Nguyen If you, ah, if I move too fast through here, just Google Spark Deep Learning Reference Architecture.
- ▶ 14:59 Christopher Nguyen If you look at the Google brain, it's at the level of a, about a cockroach.
- ▶ 22:56 Christopher Nguyen If you, if you, if you Google for algorithms of the mind, um, it's a, it's an entry, it's an article that I wrote.
The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)
- ▶ 18:32 Prakash Nanduri AWS, Azure, and potentially Google.
A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark)
- ▶ 4:47 Haoyuan Li As we can see, a lot of companies start to embrace the DRAM technology aggressively at different, at different places, like Wall Street, like Google, Baidu for internet giants, and now it's the rest of the world, we still embrace this DRAM…
The Solitude of the Data Team Manager // Florian Douetteau, Dataiku (Hosted by FirstMark)
- ▶ 10:57 Florian Douetteau Like five years ago, big data was all about having Google being able to predict the flu ahead of times, like two weeks or three weeks ahead of time by analyzing search logs to predict when the flu plague will, the flu will actually happen.
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 3:02 Eliot Horowitz So the closest analogy you would have is sort of App Engine. 3 times in the scene
- ▶ 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.
- ▶ 26:48 Eliot Horowitz See Google started to come up quite a bit, 2 times in the scene
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 14:05 Peter Fenton So, here's what I sensed, is that Spencer had worked on some of the most important, I think, foundational work of, of the internet, and broadly computing at Google, and what Spanner and F-One did was, you have to be an idiot not to see it,… 3 times in the scene
- ▶ 18:19 Peter Fenton Nobody sold me Google.
- ▶ 29:05 Peter Fenton You know, it's not, deep learning or deep mind is part of Google. 3 times in the scene
- ▶ 33:28 Peter Fenton You can just Google that, you'll find it.
- ▶ 45:05 Peter Fenton VMware and Google.
Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
- ▶ 3:02 Javier de la Torre So we're doing something that you will do on Google Maps.
- ▶ 18:50 Javier de la Torre When you're using people, some people might know, I mean, like, but when you're using something like Google Maps or using a lot of this mapping, um, I mean, a lot of apps that include the map, um, that is already, you know, like pinging,… 2 times in the scene
Large Scale Decision Support Systems // Satya Ramachandran, Neustar (Hosted by FirstMark Capital)
- ▶ 4:14 Satya Ramachandran then the Google query volume, which just signifies interest in, in, in, in, in, in, in a particular thing. 2 times in the scene
Investing in Data and A.I. // Dan Scholnick, Trinity Ventures (Hosted by FirstMark Capital)
- ▶ 10:57 Dan Scholnick And big companies like, like Google and Facebook
Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
- ▶ 3:14 Gary Marcus I know about DeepMind. 4 times in the scene
- ▶ 3:17 Gary Marcus Google paid four hundred million pounds for them in 2015.
- ▶ 4:20 Gary Marcus I asked Peter Norvik, who at the time was director of research at Google, um, I said, you know, how much money would it really be worth if you could have strong AI?
- ▶ 5:04 Gary Marcus Um, so consider, consider Google Translate. 3 times in the scene
- ▶ 8:12 Gary Marcus So you, this paper, um, got reported in the New York Times, and it's a paper written by Google.