Bloomberg L.P., every mention
84 scenes, the whole family · ← back to Bloomberg L.P.
tap a year for its mentions
every year anyone Matt Turck 40Amanda Stent 24Gideon Mann 8Itai Gurari 6Jason Grout 5Parth Vasa 3Mark Kaganovich 3Joe Gallardo 2Event MC 2Dwight Merriman 2
Verbatim, from the transcripts: the passages where Bloomberg L.P. comes up
The GPU Myth: State of AI Compute 2026 | Stephen Balaban
- ▶ 2:57 Stephen Balaban Yeah, so when you look at, for example, I think it's actually worth doing is to try to, like, kind of dig into some of the methodology on, for example, an index like, there's, there's the, there's the index that's on Bloomberg for H 100…
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 53:58 Clement Delangue Um, so we have, uh, over 2000 companies using the enterprise hub, uh, today from kind of like, uh, Mercedes, Bloomberg, uh, all the way to larger ones like, uh, Nvidia, for example, that I was, that I was mentioning.
From Business to Warfare: How AI Affects the Modern World | Azeem Azhar
- ▶ 55:25 Azeem Azhar Well, in the Chinese solar, um, manufacturers, uh, based on some analysis that Bloomberg did, um, have actually got, um, 2 times in the scene
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 36:43 Benedict Evans I read about this in, in my newsletter this week or last week, this week, I think, because this was this, Bloomberg did a story where they liked it.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 3:47 Tasso Argyros These are the business things we're doing, as you can see there from our Bloomberg Media, um, case study.
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
- ▶ 5:35 Matt Turck Yeah, a little bit to that theme, like, almost, uh, taking your, you know, Meta and Bloomberg hats off, but just as industry practitioners, like, what, what do you find is particularly interesting in this whole sea of, of, of, of, of new… 2 times in the scene
NLP—The Most Important Field of ML // Clement Delangue, Hugging Face (FirstMark's Data Driven NYC)
- ▶ 12:16 Clement Delangue Uh, some people are using it, like Bloomberg, to do summarization.
Defining Responsible Data Practices // Natalie Harris, BrightHive (FirstMark's Data Driven)
- ▶ 8:12 Natalie Evans-Harris I partnered with Gideon Mann, who is the director of data science here at Bloomberg, and then I brought in Jonathan Morgan, who co-founded or who founded Data for Democracy and New Knowledge.
Every Business Will Need a Data Refinery // Mark Johnson, Descartes Labs (FirstMark's Data Driven)
- ▶ 0:13 Mark Johnson Uh, thanks to Bloomberg for the fantastic venue, and, and thanks for coming.
Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
- ▶ 0:21 Amanda Stent Before Bloomberg I was at Yahoo, before that at AT&T Research, before that in academia. 6 times in the scene
- ▶ 1:51 Amanda Stent Some of the kinds of things that we do at Bloomberg in terms of text analytics.
- ▶ 3:01 Amanda Stent At around 10 38 was the first Bloomberg headline because we're faster at reading the news and SEC filings. 3 times in the scene
- ▶ 7:05 Amanda Stent At Bloomberg, we're working on something called natural document understanding, which is a document format or a way of processing documents where the human can read the document easily, and the computer can also process and understand the…
- ▶ 10:11 Amanda Stent So at Bloomberg, this was not Bloomberg's text analytics engine, by the way, that did this. 7 times in the scene
- ▶ 12:07 Amanda Stent And I should say that my Twitter handle is not at Bloomberg, I wish, um, but you should follow Tech at Bloomberg where you'll find announcements about many other events that happen here like this one.
- ▶ 12:29 Matt Turck This is something that people don't always know about Bloomberg, how, um, you know, followers who celebrate the New York tech community and the startup community, but Bloomberg is the quintessential tech startup, except it started a long… 4 times in the scene
- ▶ 17:49 Amanda Stent Well, there's many different clients for Bloomberg, and a law firm or a lobbyist may have a different timeframe than a quant trader, to give some extremes. 3 times in the scene
- ▶ 20:28 unnamed speaker Because Bloomberg is so fast at, you know, getting this information out to the traders, do you ever find competitors using your cleverly automated articles as their own sources? 2 times in the scene
- ▶ 22:42 Amanda Stent When I was at Yahoo, um, publicly traded company, unlike Bloomberg, Marissa Meyer would have to sit up there and talk to everybody every quarter with Ken Goldman, the C, the C, the chief lawyer, um, and there was this December earnings… 2 times in the scene
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 23:47 Matt Turck Please join me in thanking both, uh, Bloomberg, our host, and our speakers.
VC Fireside Chat // Rebecca Lynn, Canvas Ventures (FirstMark's Data Driven)
- ▶ 11:07 Rebecca Lynn Well, I mean, Bloomberg, Bloomberg is a customer, right?
How to Train Your Search Engine // Parth Vasa, Bloomberg (FirstMark's Data Driven)
- ▶ 0:30 Parth Vasa So, most of you know what Bloomberg is, so I'm not going to.
- ▶ 0:48 Parth Vasa Uh, most of you know what Bloomberg is, but I'll talk about the kind of data we work with.
- ▶ 19:16 Bloomberg BI Employee And anybody who's been a long time user of Bloomberg will attest to the fact that discoverability is something we're still working on. 2 times in the scene
- ▶ 21:07 Parth Vasa Whenever, so one of the things we search for in Bloomberg is news, right?
Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)
- ▶ 16:34 Daniel Ramot So we'll say, we'll pick you up on the corner of 59th and Lexington in front of Bloomberg, and then you'll know exactly on, you know, whatever it is on the northeast corner in front of Bloomberg, and then you'll know exactly where to wait. 2 times in the scene
Panel: Alternative Data in Financial Services (FirstMark's Data Driven)
- ▶ 2:34 unnamed speaker Um, I mean, basically the way we've been defining it is anything that is non-traditional data, um, like, no offense to Bloomberg, but basically all the stuff that you used to get from your Bloomberg terminal, um, was traditional, and then… 2 times in the scene
Project Jupyter // Jason Grout & Sylvain Corlay, Bloomberg (FirstMark's Data Driven)
- ▶ 0:12 Jason Grout I work here at Bloomberg for the last couple of years. 4 times in the scene
- ▶ 3:56 Jason Grout This is partnerships that are contributing money, people like me at Bloomberg that are contributing time, people that are working with the community to try to make the, make the entire project, the entire stack more successful.
- ▶ 15:30 Sylvain Corlay So at Bloomberg, we built this library called, uh, bqplot, which is an interactive plotting library for Jupyter.
- ▶ 22:15 Matt Turck And so that, that's part of, so at Bloomberg, so you guys 2 times in the scene
Becoming an Internet Company // Raymie Stata, Altiscale [FirstMark's Data Driven]
- ▶ 19:01 Raymie Stata You know, my, my personal view is, you know, 10 years from now, where it's going is clear, and I think that, when I started the company, companies like Bloomberg, for example, would say, no way,
Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
- ▶ 9:39 Nick (Domino Data Lab) Um, so, because we're Bloomberg in New York, I'll do sort of, I'll do a finance example.
- ▶ 14:19 Matt Turck World-renowned, uh, Bloomberg firewall.
A Recipe-Based Approach to Parsing // Hicham Oudghiri, Enigma (Hosted by FirstMark Capital)
- ▶ 0:27 Hicham Oudghiri I say broad, not large, because we're at Bloomberg and obviously we know the empire that's been built here.
10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
- ▶ 0:15 Shant Hovsepian But before I do that, I want to thank Bloomberg and FirstMark Capital who have always been very gracious hosts.
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 9:35 Stefan Groschupf You show up at Bloomberg, and I hear Jay-Z was here, and Bloomberg himself.
Black Boxes and Unicorns - DataRobot CEO Jeremy Achin
- ▶ 22:39 Matt Turck Uh, but also to Bloomberg for once again hosting us, uh, to Ed over there, who, uh, does all those videos that you guys can find on, uh, on YouTube, on our channel, and, like, all the First Mark folks as well, Andrew here, Ty.
Richard Socher, MetaMind // Deep Learning for Enterprise (Hosted by FirstMark Capital)
- ▶ 10:33 Richard Socher Ah, informational company names from a large text, which is something that I think Bloomberg would be very interested in, for instance.
Oren Falkowitz, Area 1 Security // The Future of Cybersecurity (Hosted by FirstMark Capital)
- ▶ 6:20 Oren Falkowitz So this is pretty daunting, right, these numbers, that in 90 seconds, just sending email to 10 people, if you work at a company like Bloomberg or another Fortune 500, or even a small startup with, you know, a hundred people or 30 people or…
Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
- ▶ 16:19 Lukas Biewald Well, we work with Bloomberg.
Anand Sanwal, CB Insights // What's Next? (Hosted by FirstMark Capital)
- ▶ 0:17 Anand Sanwal How many people from Bloomberg?
Gideon Mann, Bloomberg // Doing Good is Good Business (Hosted by FirstMark Capital)
- ▶ 7:01 Gideon Mann Um, one is Bloomberg Philanthropies, who is kind of informed and, and giving us a lot of direction in, in terms of what they're interested in and what Bloomberg is interested in.
- ▶ 14:02 unnamed speaker Um, so I think this is the, the type of perfect audience for this type of message, and Bloomberg is, uh, the perfect collaborator, collaborator for this type of, of, of venture.
- ▶ 19:57 Gideon Mann Which don't have big data science teams in the same way that Bloomberg, or that many of you are, I think they have to have this continuing long engagement, um, with, with the data science in, inside of the organization. 7 times in the scene
Mark Kaganovich, SolveBio // Data Infrastructure For Genomics // Data Driven NYC (FirstMark Capital)
- ▶ 18:24 Mark Kaganovich It's, it's similar in some sense to Bloomberg. 2 times in the scene
- ▶ 18:27 Mark Kaganovich There's a platform and a channel to distribute information, and if you have a good channel to distribute information, um, like Netflix or Bloomberg, et cetera, some of that content can be open, sometimes premium, sometimes you make your…
Chris Lynch, Atlas Venture // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
- ▶ 15:06 Chris Lynch Because you wake up and you can't go work at Bloomberg or IBM.
Jake Klamka, Insight Data Science // Data Driven #25 (Hosted by FirstMark Capital)
- ▶ 0:17 Matt Turck Uh, thanks to Bloomberg, our host, uh, for once again hosting us, uh, in this, uh, superb venue.
- ▶ 23:40 Ray Prisman Ray Prisman here at Bloomberg.
Amit Bendov, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 0:40 Matt Turck Ah, we are hosted by, ah, Bloomberg. 3 times in the scene
Vijay Subramanian, Rent the Runway // Data Driven NYC 23 // January 2014
- ▶ 0:12 Matt Turck Uh, as always, many thanks to Bloomberg, uh, and the great events team for, uh, hosting us in this, uh, amazing, uh, place.
Josh Green, Panjiva // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
- ▶ 2:56 Josh Green If I were in any other building, and I were describing what, uh, we were trying to build, I would describe us as building a Bloomberg for the global trade community.
Ian White, Sailthru // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
- ▶ 20:50 unnamed speaker Um, and, uh, thanks again to Bloomberg for helping us, and let's go drink.
Itai Gurari, Judicata // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 8:01 Itai Gurari More recently, uh, Bloomberg entered the space with a legal, uh, law offering product. 2 times in the scene
- ▶ 8:01 Itai Gurari More recently, uh, Bloomberg entered the space with a legal, uh, law offering product.
- ▶ 14:45 Itai Gurari If you use Google, or Lexis, or Westlaw, or Bloomberg, you're gonna get about 400 results. 2 times in the scene
- ▶ 18:50 Itai Gurari So Bloomberg tried to do a lot of the things that we were doing and did not succeed.
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 27:57 Joe Reisinger Our, our, our indices are currently syndicated on Bloomberg, so, you know, there's, there's guys upstairs that are, uh, you know, tracking our economic data, right?
Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
- ▶ 11:10 Matt Turck Ah, you know, in a way this place, Bloomberg, ah, has built a, a multi-billion dollar business that's all about aggregating a lot of data that's largely not there. 3 times in the scene
Joe Lonsdale, Formation 8 // Fireside Chat at Data Driven NYC #20 (Hosted by FirstMark Capital)
- ▶ 0:07 Matt Turck Uh, as usual, thanks very much to Bloomberg, uh, our venue host for, uh, once again having us in this, uh, amazing, uh, room.
- ▶ 5:44 Matt Turck So Palantir was a very secretive company for a number of years, actually a little bit like this place, Bloomberg was for, for a number of years as well.
Adam Laiacano, Tumblr // Data Driven NYC 20 // Nov 2013 (Hosted by FirstMark Capital)
- ▶ 22:51 Matt Turck Uh, thank you very much to the, uh, Bloomberg, uh, people, Kirsten, uh, Kirsten, um, who helped us with the event.
Blake Shaw, Foursquare // Data Driven NYC 20 // Nov 2013
- ▶ 16:19 unnamed speaker Oh, my name is Hongduan, and, uh, I'm from Bloomberg, sorry.
Mike Dauber, Battery Ventures // Data Driven NYC 19 // October 2013 (interviewed by Matt Turck)
- ▶ 11:07 Mike Dauber You're, you're pitching to companies like Bloomberg who's, you know, in another business, and their goal is not to keep you alive as a startup.
Panel Discussion // Data Driven #16 // May 2013
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 20:14 Mandeep Singh Uh, yeah, Mandeep Singh, Bloomberg.
- ▶ 31:40 Drew (InfoChimps) I mean, but maybe the reality is that the folks that buy the data buy it from folks like Bloomberg and other places, and they've spent a lot on it, and they've taken it, and they've bought it, and they've put it in a little box, and they…
Panel discussion // Data Driven NYC #9 // Nov 2012
- ▶ 33:51 Hjalmar Gislason (Halmar) And so, you know, that, that's not the field we're going after, but in, in terms of kind of macroeconomic data, market intelligence, and things like that, I would say most things happen on a daily basis, ah, you know, so that's, ah, you…
- ▶ 52:19 Joe Gallardo Um, it's interesting, we're meeting here in Bloomberg, which, you know, makes seven billion dollars a year off of intellectual property and protecting that property. 2 times in the scene
Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
- ▶ 13:56 Ping Li I think the thing that I would say on that is enterprises are not new to data, so I think this whole big data thing is sometimes people think it's some sort of new phenomenon that no one's ever thought about how to extract value from data…
- ▶ 27:54 Matt Ocko Free payroll services for small companies, five and under, ah, to produce the kind of analytics that Bloomberg would kill for on the economic direction down to sub zip plus four of a huge section of the American economy.
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 32:47 Dwight Merriman Um, maybe Bloomberg.
- ▶ 47:24 Dwight Merriman Hi, Rick Richardson from Bloomberg.
"The Business of Data" Panel // October 2011
- ▶ 1:53 Matt Turck Bloomberg or Axiom that were created on the business of aggregating and selling data.
- ▶ 18:15 Sean Gourley I hear Bloomberg does it, right?
- ▶ 22:26 Event MC Let me also ask, um, you mentioned, Sean, I think you mentioned Bloomberg, which is a pretty cool data business.
- ▶ 22:35 Event MC B-Law, for example, for law firms, and, uh, also we have a sports data business, which is pretty hot, Moneyball style, you know.
Matt Turck, Bloomberg Ventures // Data Driven NYC# 3 // Feb 2012
- ▶ 0:58 Matt Turck A, a number of people that attended the last couple of events mentioned that I'd simply never quite, uh, introduced myself and introduced Bloomberg and Bloomberg Ventures, uh, so I'd like to take a minute to do that, and also I have, I've…
- ▶ 1:39 Matt Turck Bloomberg Ventures is the incubation and investment arm of Bloomberg. 3 times in the scene
- ▶ 5:10 Matt Turck Number two, I think Bloomberg 2 times in the scene
- ▶ 17:54 Matt Turck So, um, ah, just quickly, number two, number three, ah, Bloomberg, there's going to be a presentation here, so for anybody that's interested, ah, you, ah, you should attend, and it's going to be pretty interesting, but, you know,… 10 times in the scene
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 21:01 Matt Turck Yeah, I would, I would actually very much concur with that from, um, you know, I think that the business of selling data is, is a very difficult business, and from a Bloomberg perspective, we've, you know, spoken, or we speak very often to…
- ▶ 23:00 Kirill Sheynkman Look, you know, Bloomberg, Bloomberg has, Bloomberg has a lot of data, but I remember what I was paying every month for having that really fast, cool, live feed, right?