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
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 2:55 Gary Marcus This is one, um, of our own, I guess, that, that we mentioned in our book, um, which is if you do a Google image search for professor, you get mostly white people. 3 times in the scene
Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 10:34 Benn Stancil In order to figure out how to get people to use it, they did kind of the traditional self-serve analysis of having a bunch of people go through Google Analytics, figure out what's there, figure out what it is that people like, uh, and…
Fireside Chat: Ben Uretsky, Founder of DigitalOcean (FirstMark's Data Driven NYC)
- ▶ 22:48 Ben Uretsky And so, we spent a lot of time, almost a year in development on building the API and the user interface for Kubernetes, and I'm super proud to say that, um, Kelsey Hightower, one of the core contributors to Kubernetes and over at Google,…
- ▶ 23:14 Ben Uretsky And is the simplest and easiest to use even over the Google Kubernetes engine service.
Fireside Chat: Martin Casado, General Partner at Andreessen Horowitz (FirstMark's Data Driven NYC)
- ▶ 22:31 Martin Casado These larger incumbents, you know, Google, Amazon, and Microsoft to compete against with you.
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 3:22 Dillon Erb So Facebook has FB Learner, Google has
- ▶ 13:25 Dillon Erb Uh, how do we beat Google, Amazon, everyone else? 2 times in the scene
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 0:17 unnamed speaker So you might know Google. 3 times in the scene
- ▶ 1:29 Daniel Chia Well, Spanner is Google's relational database. 2 times in the scene
- ▶ 1:39 Daniel Chia The mission critical database for Google, it supports hundreds of Google applications, including Google AdWords and Google Play, and we manage, you know, petabytes of data and have tens of millions of QPS every day.
- ▶ 1:39 Daniel Chia The mission critical database for Google, it supports hundreds of Google applications, including Google AdWords and Google Play, and we manage, you know, petabytes of data and have tens of millions of QPS every day.
- ▶ 15:34 Matt Turck Can you, um, maybe elaborate on how Spanner is used internally at Google? 4 times in the scene
- ▶ 15:34 Matt Turck Can you, um, maybe elaborate on how Spanner is used internally at Google? 10 times in the scene
- ▶ 15:43 Daniel Chia So, the ones I mentioned, like Google Play and AdWords, 2 times in the scene
- ▶ 15:43 Daniel Chia So, the ones I mentioned, like Google Play and AdWords,
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 5:25 unnamed speaker So Google and the New York Times have had a partnership for many years, and we think it's actually an ideal partnership to leverage the power of Google Cloud's technology. 3 times in the scene
- ▶ 5:25 unnamed speaker So Google and the New York Times have had a partnership for many years, and we think it's actually an ideal partnership to leverage the power of Google Cloud's technology.
- ▶ 7:55 Nick Rockwell Um, but the, the, we've been talking about this with Google for at least a couple of years, 4 times in the scene
- ▶ 12:53 Nick Rockwell Um, I think we, you know, I don't know if we want to get into it or not, but this is like the culmination of a long process that we've done to migrate almost everything we're doing to Google Cloud.
- ▶ 13:08 Nick Rockwell We're doing all of our data processing on Google's data infrastructure now, um, and most of our, like, compute is in, uh, Kubernetes and GTE, so.
- ▶ 14:03 Nick Rockwell I've been watching Google Cloud for a while. 6 times in the scene
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery. 2 times in the scene
- ▶ 20:45 Nick Rockwell It also includes something like BigQuery that's just a managed service, and it also includes something like,
- ▶ 20:51 Nick Rockwell Um, App Engine.
- ▶ 21:06 Matt Turck In a different data center, which is Amazon's or Google's, right?
5 Key Learnings About Intelligent Agents // Dennis Mortensen, x.ai (FirstMark's Data Driven NYC)
- ▶ 8:32 Dennis Mortensen As in, I certainly want my Google Maps on my phone, and it's certainly way more powerful than having on my desktop.
- ▶ 23:34 Dennis Mortensen I think you should go sign up, connect your Zoom account, connect your G Suite, connect your Slack account, and be
Why Does The World Need Another Computer? // Anant Bhardwaj, Instabase (FirstMark's Data Driven NYC)
- ▶ 5:01 Anant Bhardwaj Apple and Google kind of like control, ah, the operating system for, for this kind of computing, ah, the Android and iOS.
- ▶ 5:14 Anant Bhardwaj Earlier people used mainframes with terminals, then basically we went into servers and desktops, and now we are basically getting into this cloud with Amazon and Google Cloud and Microsoft.
- ▶ 5:40 Anant Bhardwaj Or it could be this one, ah, which is Google Cloud Services.
- ▶ 16:47 Anant Bhardwaj You can run it anywhere, which could be on your local host, on any cluster of machines, on Amazon or Google Cloud or whatever.
Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)
- ▶ 1:18 Allon Bloch If you go online and go on Dr. 2 times in the scene
- ▶ 17:29 Allon Bloch And plus, you have, you have Apple, Amazon, and Google that are very likely to be in this market and probably compete directly here.
The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
- ▶ 7:44 Dileep George Ah, you don't look up Google to answer this, right?
$0 to $60M in 2 Years // Bob Moore, Crossbeam (FirstMark's Data Driven NYC)
Knowledge Graphs To Understand The World // Hicham Oudghiri, Enigma (FirstMark's Data Driven NYC)
- ▶ 4:41 Hicham Oudghiri The myth was that data was changing the world, and it was so easy to use, and the Googles and the Facebooks of the world,
- ▶ 8:07 Hicham Oudghiri Google's knowledge graph, probably the one you use the most. 2 times in the scene
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 14:08 Mike Tuchen Um, so our approach was, um, we partnered with, um, with Google. 2 times in the scene
- ▶ 22:25 Mike Tuchen It should be like a Google searchable thing or probably better, better analogy is like an Amazon searchable thing because you can search for it and then get a little, you know, sort of selector window on the side saying drill down by a…
- ▶ 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. 4 times in the scene
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 6:04 Spencer Kimball And this is, this number came from Google's empirical data when they built these systems at scale.
- ▶ 10:42 Spencer Kimball This is how Google runs their AdWords system.
- ▶ 10:42 Spencer Kimball This is how Google runs their AdWords system.
A Fireside Chat with Ethereum Co-Founder & ConsenSys CEO Joe Lubin (FirstMark's Data Driven NYC)
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 2:03 Florian Douetteau I guess he works at Facebook or Google, but whatever.
- ▶ 25:03 Florian Douetteau And well, and that he should do that and not work at Facebook or Google or whatever, which actually depending on your location is actually the challenge.
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 2:50 Ajay Kulkarni The relational databases they had in the past just couldn't scale for these workloads, so the new companies started developing the first big data non-relational systems, and this includes Google, who published the MapReduce paper and the…
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 7:06 Chris Dixon It's an interesting, I mean, so, you know, it's not a secret that AI is a big deal, right, and it's, and it's the, it's basically the main R&D line item at Facebook and Google and other places. 2 times in the scene
- ▶ 9:13 Matt Turck Um, what do you make of the, you know, amount of data question, so that's become the, you know, inevitable comment on any kind of, uh, AI-related panel by VCs that say, no, no, no, you can't, like, you know, Google has all the data in the… 2 times in the scene
- ▶ 15:13 Chris Dixon In some ways, you can think of Google results. 4 times in the scene
- ▶ 17:11 Chris Dixon Apple's doing stuff, you know, um, Google and Facebook, and so I think it's going to get there.
- ▶ 24:33 Chris Dixon And, uh, um, uh, anyway, so what, but then, so what happened is tech companies then moved up the stack into services, so Microsoft's a services company, Adobe, you know, obviously Google and Facebook are, and now, um, developers have… 3 times in the scene
- ▶ 29:50 Chris Dixon Um, I have three of these meetings a week where it's team coming out of Google or Facebook or someplace like that, um, and they say, you know, I grew up interested in computers, I moved out to the valley to, you know, to, to build a… 3 times in the scene
- ▶ 51:27 Chris Dixon Yeah, but Google doesn't sell, they don't, I mean, contrary to a lot of the new stuff, like Google and Facebook don't actually sell data, right?
- ▶ 1:00:07 Chris Dixon It's kind of like, you know, you look at all the tech cycles, like in the nineties, everyone had to have, to have their own startup, and then eventually people said, hey, maybe it's better to go work at Google or something, right?
10 Lessons from Building Data Driven Software // Raj De Datta, BloomReach (FirstMark's Data Driven)
- ▶ 3:53 Raj De Datta So here's a, here's the, here's the original Bloomreach product that we built nine years ago, which is you go to a place like Google, you type in something like, I'm looking for concrete pendant lighting, because I'm looking to, to…
- ▶ 4:56 Raj De Datta Because this data set was so fundamentally about search, was so fundamentally about people searching on Google, often as companies get bigger and bigger we think hard about 2 times in the scene
- ▶ 21:30 Raj De Datta So there's a pretty high degree of correlation between optimizing for something like revenue or revenue per visit with what the user actually desires, which is why user feedback algorithms like Google work really well, because the more you… 3 times in the scene
Make AI Less Mysterious // Serkan Piantino, Spell (FirstMark's Data Driven)
- ▶ 18:08 Serkan Piantino You have Inception, which is, um, you know, something that came out of Google, and, uh, the metrics for their accuracy on the right.
Fireside Chat: Roger Ehrenberg, Managing Partner at IA Ventures (FirstMark's Data Driven)
- ▶ 5:38 Roger Ehrenberg Seated 40 companies, led six rounds, sat on six boards, very, very active in the angel community here, and so had met Matt and Zach and was, and also knew a lot about ad tech and was extremely impressed because they had really articulated…
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 19:13 unnamed speaker Um, I would love to hear why you rebranded, um, first of all, and then I'm also interested in hearing that I, as I understand Firebase Analytics, the new product from Google and Firebase, um, they now have events automatically tracked to 3 times in the scene
The Conscience of AI // Harry Glaser, Periscope Data (FirstMark's Data Driven)
- ▶ 17:30 Harry Glaser And so I would actually say, and so in a past life I worked at Google, actually on machine learning, I ordered 10 blue links, if you can believe it. 2 times in the scene
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 12:52 Bob Muglia So I knew there'd be a lot of change, and that most of the interesting things that were happening outside of an Amazon, a Google, and a Microsoft were happening in smaller companies, and so I sought a company that had, ah, that was doing…
- ▶ 21:07 Matt Turck So there's, you know, Microsoft SQL Data Warehouse, Google BigQuery, IBM Dash GB. 2 times in the scene
- ▶ 21:07 Matt Turck So there's, you know, Microsoft SQL Data Warehouse, Google BigQuery, IBM Dash GB.
Every Business Will Need a Data Refinery // Mark Johnson, Descartes Labs (FirstMark's Data Driven)
- ▶ 4:45 Mark Johnson Then of course Google, a familiar example to all of us, um, takes a huge amount of web data, um, and turns it into a useful service, uh, search engine. 10 times in the scene
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 8:44 Diego Oppenheimer So there's this technology that was actually developed by Google, um, for how they actually do the scaling of their infrastructure called Kubernetes, which is fairly, uh, well accepted these days.
- ▶ 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.
- ▶ 21:54 Diego Oppenheimer Our latest round was done by Google's AI fund.
- ▶ 22:01 Diego Oppenheimer The GV, GV again.
04 Freenome
- ▶ 11:10 unnamed speaker So, um, more, more recently, uh, Google announced that, uh, they have a genomic sequencer, uh, aligner, that is based on deep learning, um, and, and that came out of, um, uh, one of their Google Brain, um, groups, as well as Verily, and…
- ▶ 11:10 unnamed speaker So, um, more, more recently, uh, Google announced that, uh, they have a genomic sequencer, uh, aligner, that is based on deep learning, um, and, and that came out of, um, uh, one of their Google Brain, um, groups, as well as Verily, and…
Surveillance Platform for Banks // Mayur Thakur, Goldman Sachs (FirstMark's Data Driven)
- ▶ 2:06 Mayur Thakur Ah, you make mistakes when you enter things in Google. 3 times in the scene
- ▶ 4:35 Mayur Thakur The third one is the one I was talking about, is think of this as my Google network, think of this as my Goldman network, and it's surprising that there's some people here that actually know each other.
- ▶ 8:54 Mayur Thakur Let's say you put in a trade for, you know, Google at, ah, you being either a client or a trader at Goldman, and what you want to find is around that time, maybe a few seconds before, a few seconds after, what was the market doing?
- ▶ 16:43 Mayur Thakur If you enter search query today in Google and you get a result tomorrow, it's not really good.
Superpowered Conversations // George Davis, Frame.ai (FirstMark's Data Driven)
- ▶ 20:36 George Davis One thing that we're really excited about that's state of the art, we're kind of, we're fiddling with and re-implementing, uh, the Sling, uh, framework that came out of Google a couple of weeks ago, uh, we think there's a lot of…
The Evolution and Impact of AI // Ash Fontana, Zetta Venture Partners
- ▶ 3:51 Ash Fontana And so it was like product recommendations, Google search, stuff like that.
- ▶ 8:09 Ash Fontana And Omniture was the first web analytics company, and halfway through Omniture's life, Google released Google Analytics for free.
- ▶ 8:09 Ash Fontana And Omniture was the first web analytics company, and halfway through Omniture's life, Google released Google Analytics for free.
- ▶ 13:39 Ash Fontana Um, you know, a lot of the, all the companies in the market today for search as a service are AltaVista, and constructor is Google.
- ▶ 25:14 Ash Fontana So you saw DeepMind apply their technology to Google's data centers.
Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
- ▶ 5:05 Auren Hoffman You know, now if you just take this machine learning engineer that had to do all this and take that same machine learning engineer and she joins Google, what happens? 4 times in the scene
- ▶ 7:43 Auren Hoffman Um, now Google put 7 times in the scene
- ▶ 12:03 Auren Hoffman It's, unless you're Google, Facebook, Amazon, Tencent, a couple of others, you have a very small sliver of what's happening in the world.
- ▶ 12:51 Auren Hoffman Uh, and so, uh, companies like Google have great access to this data because they have 70% of the phones in the U.S. that they have data on, and, and, and probably even a higher percentage of phones worldwide, um, that they get to see all…
Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
- ▶ 10:40 Dr. Bob Sohval So, what we're looking at now is, uh, uh, granularized to, to reveal Safari, Firefox, Edge, Chrome, and so forth.
Data-Driven Real Estate Investing // Jean Sini, Cadre (FirstMark's Data Driven)
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 0:32 Bradford Cross I was at Google a couple years working on big distributed systems, and then I've built AI startups for about 10 years now, uh, and co-founded Data Collective as well back in 2011.
- ▶ 14:38 Bradford Cross You see people diving in without understanding, you know, any, any modicum of the scientific competency that they would need to have to get into it, or trying to invest in it, you know, but they'll just, you know, befriend somebody that…
- ▶ 17:11 Bradford Cross And so what it's created is a, is basically a sort of a graveyard of these companies that think that they can do what Google or Amazon or Microsoft are now trying to do with this machine learning as a service stuff. 5 times in the scene
- ▶ 18:02 Bradford Cross Uh, and it's basically a bunch of people doing the Google plus, right? 2 times in the scene
- ▶ 19:34 Bradford Cross Um, in fact, they're mostly all at Google and Facebook. 4 times in the scene
- ▶ 20:31 Bradford Cross Many of which, if you search on Google Scholar, you'll find almost no work on.
- ▶ 25:47 Bradford Cross I also have a data network effect, um, and I think there's loads of these types of opportunities in, in enterprise software, um, or in SaaS software, where, where you're getting kind of the B to B scenario, right, where you're using the…
AI and a Different Type of Competitive Advantage // Omar Tawakol, Voicera (FirstMark's Data Driven)
- ▶ 16:36 Omar Tawakol Um, my co-founder ran the applied AI group for Facebook reporting to Jan LeCun in, in Palo Alto, so he brought in engineers from LinkedIn, from Apple, from Google, uh, from Amazon, uh, so it's pretty heavy, uh, kind of machine learning…
How to Measure Product Success // Todd Olson, Pendo (FirstMark's Data Driven)
- ▶ 1:41 Matt Turck Now, the challenge is, is there's a lot of metrics out there, and in my space, if you wanted to measure a product or an interface, one of the oldest technologies we've used was something like Google Analytics, which is typically doing…