Google, every mention
801 scenes, the whole family · ← back to Google
tap a year for its mentions
every year 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
How to Measure Product Success // Todd Olson, Pendo (FirstMark's Data Driven)
- ▶ 1:55 Matt Turck Um, Google put it out there.
A Fresh Approach to Technical Computing // Viral Shah & Stefan Karpinski, Julia Computing
- ▶ 14:33 Viral Shah We published this actually just a couple of weeks before Google announced it, but once Google announced it, I think, uh, we kind of lost the opportunity to get the press around it. 2 times in the scene
VC Fireside Chat // Rebecca Lynn, Canvas Ventures (FirstMark's Data Driven)
- ▶ 12:11 Matt Turck So, so you'll hear some, some people say they want to completely stay away from horizontal investments because ultimately that's what, you know, Google and Facebook and Amazon are going to want to do.
Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)
AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
- ▶ 4:28 Stan Christiaens So the last one, at least from our vantage point, we got completely wrong, because when we were saying, ah, the, the, the whole blockchain thing to our, at our user event a couple of months back, half of the audience, you're not doing this…
- ▶ 6:18 Stan Christiaens And three, and this is a belief of me that could be wrong, is that actually the big tech firms, Amazon, Facebook, Google, Microsoft, and all the others, they're using AI and machine learning as their next feature war.
- ▶ 8:50 Stan Christiaens Even, ah, I believe Google, when they came out with, ah, AutoML, I think it's called, they did this experiment where they had one, ah, neural network learn
- ▶ 10:51 Stan Christiaens That maybe you all know, it's the Google, um, trends, the flu prediction, if you know that story, a few years old.
- ▶ 10:59 Stan Christiaens So they predicted, based on search keywords in Google, um, that the flu was gonna do an outbreak. 2 times in the scene
- ▶ 12:40 Stan Christiaens Google actually acquired Kaggle, right, which is all about open sourcing the models on certain data science problems. 4 times in the scene
- ▶ 21:15 Stan Christiaens One is that I'm hearing, what I'm hearing you say, where ownership is really, like in Europe, with the individual, right, so it's, it's my data, those are my emails, Google, and if I want to move them to Hotmail, you gotta allow me to do…
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.
Fake News, Alternative Facts and the Enterprise // Satyen Sangani, Alation (FirstMark's Data Driven)
- ▶ 15:37 Satyen Sangani And so what we did with Alation is we sort of said, why don't we build something that crawls enterprise data sets and analytics tools, like Google crawls the web, and looks at the logs
- ▶ 21:40 Satyen Sangani So just like you go to Google and use it as a starting point, you can create that interaction and interrogation and iterativeness, iterativity, whatever you call it, ah, in a continuous way.
How to Train Your Search Engine // Parth Vasa, Bloomberg (FirstMark's Data Driven)
- ▶ 1:29 Parth Vasa Google is great.
- ▶ 3:06 Parth Vasa If you remember the internet before Google came along, everybody had bookmarks. 2 times in the scene
The Power of GPU Analytics // Todd Mostak, MapD (FirstMark's Data Driven)
- ▶ 16:44 Todd Mostak However, one of the great stories of 2016 is that all the major cloud providers, Amazon, Google, Microsoft, basically added big GPU instances to their cloud, so we're making a significant push there as well.
Rethinking Predictive Analytics // Yaniv Altshuler, Endor (FirstMark's Data Driven)
- ▶ 0:19 Yaniv Altshuler So, Endor is an MIT spin-off company, financially backed by Google's Eric Schmidt.
- ▶ 0:49 Yaniv Altshuler It was, ah, taken last week at a lecture, ah, given by, ah, Jeff Dean from Google.
Panel: Alternative Data in Financial Services (FirstMark's Data Driven)
- ▶ 6:44 unnamed speaker Uh, there's saturation, and so sort of trying to re-imagine advertising, the, the, the sort of ROI in advertising that digital marketers brought through Google and Facebook.
Location Intelligence // Jeff Glueck, Foursquare (FirstMark's Data Driven)
- ▶ 4:47 Jeff Glueck That's all powered by Foursquare's global data set, um, and they moved off Google Maps to use our sort of fresher set, and not only are we, are we fresher and better, but more importantly, we're not Google. 2 times in the scene
- ▶ 4:47 Jeff Glueck That's all powered by Foursquare's global data set, um, and they moved off Google Maps to use our sort of fresher set, and not only are we, are we fresher and better, but more importantly, we're not Google.
- ▶ 20:32 Jeff Glueck You can Google it.
Project Jupyter // Jason Grout & Sylvain Corlay, Bloomberg (FirstMark's Data Driven)
- ▶ 1:59 Jason Grout Uh, I think of the massive data farms that, uh, massive data that Google or Facebook or,
- ▶ 10:24 Jason Grout Many, many companies are actually building on top of this platform, ah, to build out, ah, computational services, including Microsoft, Google, IBM,
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.
A Fireside Chat with MapR CTO M.C. Srivas (Data Driven NYC / FirstMark)
- ▶ 1:18 Matt Turck I'd love to, to start with that, with what your personal journey is, um, through, you know, Spinnaker and Google, and how you, what was the, the, the founding story of, uh, MapR?
- ▶ 8:25 M.C. Srivas And that's what started off from Google trying to build.
- ▶ 9:59 M.C. Srivas I, I did Bigtable in Google, and, uh, actually to, somebody put a slide on NoSQL, so I was saying, well, well, that's really not the history, but,
- ▶ 30:31 unnamed speaker Um, you were at Google before, and a lot of this industry was created by, uh, Google releasing some, uh, white papers on how they do things, and people catching up with it. 8 times in the scene
- ▶ 31:21 M.C. Srivas Google now is almost scary how it knows everything is going on with me.
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 1:16 Stefan Groschupf That's why we looked into the Google papers and implemented MapReduce and the HDFS, et cetera, et cetera.
- ▶ 2:27 Stefan Groschupf Uh, VP of the future at Google or something like that.
Black Boxes and Unicorns - DataRobot CEO Jeremy Achin
- ▶ 9:49 Jeremy Achin Since there's some variations of it you can go, you can Google, and you can find a lot of literature out there, but this is probably one of the best, um, examples.
Machine Learning in Production with Josh Bloom, Co-founder Wise.io
- ▶ 10:52 Josh Bloom Um, I think some of those lessons of data science are echoed, uh, in a very scary way, uh, in the new paper by Google, uh, who titled this, uh, Machine Learning, the High Interest Credit Card of Technical Debt.
- ▶ 15:33 Josh Bloom So Google does this, obviously, with Gmail.
- ▶ 16:07 Josh Bloom You might have remembered Gmail getting very excited about the fact they're using deep learning now to get better spam filters, and they talked about their accuracy rates, and then a couple of days later, Linus Torvalds wound up putting…
- ▶ 16:33 Josh Bloom So Google pissed off Linus Torvalds because their machine learning wasn't perfect. 2 times in the scene
Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)
- ▶ 18:19 Ramana Rao Our first step was really to send them off to Omniture or to Site Catalyst, Adobe Site Catalyst, or Google Analytics, where most of our customers want the data.
Oren Falkowitz, Area 1 Security // The Future of Cybersecurity (Hosted by FirstMark Capital)
- ▶ 4:19 Oren Falkowitz Maybe, you know, eight or nine years since Google published the Bigtable paper and the MapReduce paper and some of those early big data papers which have spawned, you know, this community and all the great technological revolution, now…
- ▶ 11:43 Oren Falkowitz So what we've been able to do is capture the entire Internet, right, in a way that maybe you would think Google or others do, right, and to do that for a very specific sort of security purpose.
- ▶ 16:03 Oren Falkowitz The second is, you know, that's only possible because some of the advances that have happened in the data infrastructure over the last, you know, you know, I'd say starting when the Google papers were published, but probably commercialized… 2 times in the scene
Anthony Deighton, Qlik: Top 10 Requirements For Visual Analytics (Hosted by FirstMark Capital)
- ▶ 9:15 Anthony Deighton And this may be a little counterintuitive since we're asking about, we're thinking about visual analytics, and analytics is really about aggregation, right, and charts and graphs, ah, but if Google has trained, ah, everyone in this room,…
Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
- ▶ 13:53 Lukas Biewald And, and I was, um, playing with Google Translate, and the results seem, um, they seem reasonably accurate to me.
Anand Sanwal, CB Insights // What's Next? (Hosted by FirstMark Capital)
- ▶ 1:55 Anand Sanwal What's Google doing next?
Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
- ▶ 0:42 Spencer Kimball Luckily, um, we were bored with our jobs enough to decide to actually start a company around it, and we raised money recently from Benchmark and Google and Sequoia and Firstmark.
- ▶ 1:53 Spencer Kimball Ultimately, what people do is they shard the databases, and I ran into this, like, really head first, like, into a brick wall when I got to Google in 2002, and they were using sharded MySQL in order to run their AdWords backend, and they… 8 times in the scene
- ▶ 1:53 Spencer Kimball Ultimately, what people do is they shard the databases, and I ran into this, like, really head first, like, into a brick wall when I got to Google in 2002, and they were using sharded MySQL in order to run their AdWords backend, and they…
- ▶ 5:34 Spencer Kimball Hosted services like DynamoDB, Amazon's Aurora, Google's cloud storage, um, the problem with these is you've got vendor lock-in, and they're all proprietary, so when you actually do want to switch off it because you've become Dropbox or… 3 times in the scene
- ▶ 8:05 Spencer Kimball Leave that to the AWS people, leave that to Google's cloud people, um, you shouldn't have to notice.
- ▶ 9:06 Spencer Kimball It's what Google's built in this spanner and actually had in Megastore as well.
- ▶ 9:06 Spencer Kimball It's what Google's built in this spanner and actually had in Megastore as well.
- ▶ 12:45 Spencer Kimball This is what, uh, Big Table used, HBase uses, and also some of Google's newer architectures like Megastore and, um, uh, Spanner. 2 times in the scene
Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
- ▶ 9:51 Jake Porway So of course you might imagine, you know, Google Maps and satellite imagery are pretty good at spotting thatched roofs versus iron roofs.
- ▶ 14:43 Jake Porway It goes and runs over Google Images, and it finds all the swimming pools, right?
- ▶ 14:47 Jake Porway But then he goes one step further, and he actually hooks it up to Google Street View,