IBM, every mention
95 scenes, the whole family · ← back to IBM
tap a year for its mentions
every year anyone Michael Karasick 32Matt Turck 21Mike Olson 11Gary Marcus 7Yann LeCun 5Spencer Kimball 5Matt Kroll 5Stan Christiaens 4Evan Kaplan 4Arnab Gupta 4
Verbatim, from the transcripts: the passages where IBM comes up
AI Eats the World: Benedict Evans on What Really Matters Now
- ▶ 57:04 Benedict Evans Um, there was an IBM study, yeah, they got, came out last week that said everyone's done a bunch, a bunch of pilots didn't, it basically said we did a bunch of, they surveyed CIA's and a bunch of CIA's said we've deployed stuff and some of… 2 times in the scene
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 11:28 Evan Kaplan There were Oracle and IBM DB two, and then there were some Formix and Sybase and these side cases, but, but you know, if you ran any sort of enterprise, you had Oracle or IBM DB two. 2 times in the scene
- ▶ 11:28 Evan Kaplan There were Oracle and IBM DB two, and then there were some Formix and Sybase and these side cases, but, but you know, if you ran any sort of enterprise, you had Oracle or IBM DB two. 2 times in the scene
Snowflake CEO on Winning the AI Arms Race
- ▶ 37:10 Sridhar Ramaswamy We were all about big data and analytics back then, built on top of systems like Oracle and, uh, and DB two.
Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
- ▶ 0:21 Matt Turck Prior to co-founding Fireworks, Lin had an illustrious career at places like IBM Research, LinkedIn, and Meta.
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 46:13 Clement Delangue And then one model that I've been excited about this week too is a model that has been released by IBM and NASA on climate prediction, which is not only super interesting, but also super positively impactful. 2 times in the scene
AI at Datadog: Monitoring machines in the age of LLMs | Olivier Pomel, CEO of Datadog
- ▶ 2:24 Olivier Pomel Uh, I had an internship at IBM in research, which was a very interesting place at the time.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 10:34 Chris Wiggins That story had its own mirror on the other side of the Atlantic in Bell Labs, and how Bell Labs played a crucial role in scaling up code breaking as a computational problem that pairs Bell Labs with the nascent intelligence community,…
- ▶ 10:34 Chris Wiggins That story had its own mirror on the other side of the Atlantic in Bell Labs, and how Bell Labs played a crucial role in scaling up code breaking as a computational problem that pairs Bell Labs with the nascent intelligence community,…
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 1:51 Spencer Kimball IBM DB too, which you'd run on mainframes, Microsoft SQL Server, Postgres, MySQL.
- ▶ 1:51 Spencer Kimball IBM DB too, which you'd run on mainframes, Microsoft SQL Server, Postgres, MySQL.
- ▶ 47:16 Spencer Kimball You know, with Oracle and DB two, you're actually potentially running on hardware that, you know, far exceeds 2 times in the scene
- ▶ 47:31 Spencer Kimball You're using an IBM mainframe or you're using a Cray supercomputer or something like that.
Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
- ▶ 23:38 Jack Berkowitz I need to connect to DB two.
Decision Automation's Bright Future with Nextmv's Carolyn Mooney
- ▶ 5:49 Carolyn Mooney Yeah, some, some of the legacy players in this space are like IBM has a product called C-Flex, uh, FICO has a product called Express, uh, that we actually use, um, in our, in our prior work, and then also Garobi, uh, is a big one, uh, so… 2 times in the scene
Fireside Chat: Mark Grover (Co-Founder & CEO, Stemma) with Matt Turck (Partner, FirstMark)
- ▶ 14:06 Mark Grover So you have your data storage system, you have your ETL system, you have your transformation system, you have your BI tool, and none of these tools are packaged by like IBM and you're buying one behemoth IBM platform, right?
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 1:16 Dave Burgess And so I, I started, ah, I'd actually IBM went back in the day in New Zealand, and then came back across here, worked for a startup, ah, which was a B to B startup doing business to business integrations called E to open.
How to Resurrect Innovation in the Enterprise // Amr Awadallah, Google (FirstMark's Data Driven NYC)
- ▶ 21:55 Amr Awadallah So before Linux, we had HPUX, we had IBM AIX, we had Solaris, we had SunOS, and many, many others.
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 1:13 Rich Waldron But some highlights, uh, FICO, DigitalOcean, New Relic, and IBM.
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 35:35 Gary Marcus IBM rebranded Watson. 2 times in the scene
- ▶ 35:35 Gary Marcus IBM rebranded Watson. 5 times in the scene
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 8:07 Matt Turck Uh, created, but you have, so the databases, this is what I'm talking about, the databases, um, on one side as a source, and then you have the processing layer, uh, that used to be Teradata Oracle IBM, which is now Spark, Snowflake,… 2 times in the scene
- ▶ 17:50 Matt Turck Because you have a, as you alluded to, a highly competitive, um, you know, segment with Informatica, IBM, all those, um, companies, and then Tipco, and then, uh,
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 1:57 Ajay Kulkarni Uh, so the, the modern database as we know it started, you know, really back in the 19 seventies with the creation of the first relational database at, at IBM called System R, and it was then commercialized into the first, you know,…
- ▶ 1:57 Ajay Kulkarni Uh, so the, the modern database as we know it started, you know, really back in the 19 seventies with the creation of the first relational database at, at IBM called System R, and it was then commercialized into the first, you know,…
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 20:21 Bob Muglia To do those Teradata migrations, to do those Neteza migrations onto AWS, because those customers will be better served by a product like Snowflake running on Amazon.
- ▶ 21:07 Matt Turck So there's, you know, Microsoft SQL Data Warehouse, Google BigQuery, IBM Dash GB.
Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
- ▶ 2:33 Amanda Stent So now you can go into the terminal and say, tell me the price of IBM and show me the stock chart for six months ago, and you will see those things. 2 times in the scene
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 18:20 unnamed speaker I don't necessarily, because I'll give two names out, you know, data science experience from IBM and Amazon SageMaker, I'm sure your two biggest competitors, and those are not, those are not small competitors, so can you kind of expand on…
04 Freenome
- ▶ 23:45 unnamed speaker So I think we have been kind of all misled with IBM Watson and everything.
The Evolution and Impact of AI // Ash Fontana, Zetta Venture Partners
- ▶ 5:02 Ash Fontana Um, and if that fails, the computer vision models fail, um, it's worse than what IBM has given you as your, as your inventory management system, which is not, which is pretty bad.
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 17:28 Bradford Cross Right, uh, IBM, Google, Amazon, Microsoft.
- ▶ 29:18 Bradford Cross It was acquired by IBM recently.
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)
- ▶ 9:37 Stan Christiaens And I'm gonna use two examples here that have had a lot of attention in the media, and I, I don't wanna diss IBM, it's a good company, right, but I am gonna use them as an example. 4 times in the scene
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 4:38 Prat Moghe In the old days, you had SQL, and it was Teradata, Oracle, IBM, um, you know, SAP, Microsoft, a bunch of these.
Leveraging AI in the Enterprise // Kuang Chen, Captricity (FirstMark's Data Driven)
- ▶ 20:02 unnamed speaker So if I say on one side on the AI, I have machine learning componentry from AWS, IBM, and certain aspects, and then
Project Jupyter // Jason Grout & Sylvain Corlay, Bloomberg (FirstMark's Data Driven)
- ▶ 9:05 Jason Grout Um, you, IBM did a project where they said, let's take the notebook format and format it more as a dashboard. 2 times in the scene
Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
- ▶ 18:41 unnamed speaker The example that you showed, I know when IBM Watson played Jeopardy! 4 times in the scene
A Virtual Distributed Storage System // Haoyuan Li, Alluxio (Hosted by FirstMark)
- ▶ 2:44 Haoyuan Li This is a partial list of these companies, like IBM, Intel, Huawei, all these companies. 2 times in the scene
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 18:51 Eliot Horowitz You know, if you look at Oracle, you can find Oracle's revenue, database revenue, and Microsoft database revenue, and IBM's database revenue.
The Benefits of Fast Business Intelligence // Amir Orad, Sisense (Hosted by FirstMark Capital)
10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
- ▶ 8:24 Shant Hovsepian IBM is working on Knox.
The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer
- ▶ 3:29 Stefan Groschupf Some of the Oracle, Teradata, DB-II, even mainframe architecture that was put in there lives longer than the 10 years to when we have faster chips in our brain.
Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
- ▶ 17:06 unnamed speaker I am Grant from IBM. 2 times in the scene
- ▶ 18:10 Lukas Biewald Um, how do we know that IBM is the same as Watson?
Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
- ▶ 10:00 Jake Porway So a team from IBM and Mozilla basically built a classification algorithm that would find the different roof types.
Scott Crouch and EJ Bensing, Mark43 // Reimagining Police Software (Hosted by FirstMark Capital)
- ▶ 26:26 Scott Crouch Like, I'm 23, like, it's really hard to, you know, for a big city police department, for any police department, for that matter, to say, oh, I'm gonna go trust this, like, small rinky-dink startup versus Motorola or IBM.
Zach Weinberg, Flatiron Health // Using Data to Cure Cancer // Data Driven NYC (FirstMark Capital)
- ▶ 15:29 Zach Weinberg One is, is a company called IBM, um, you know, which really just wants to kind of sell hardware and, and services, um, and the other is a company that was started in 1832, uh, that was actually doing, like, milk delivery, and they were a…
Michael Karasick, IBM Watson // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
- ▶ 0:00 Matt Turck Thanks for, uh, thanks for being here, so we're gonna be, um, talking about a bunch of things, um, but the, the, the, the key idea that something super interesting is happening with Watson, um, and I think the community is just starting… 5 times in the scene
- ▶ 0:52 Michael Karasick Um, I started working as an IBM researcher. 2 times in the scene
- ▶ 2:26 Michael Karasick We've stood up a, a developer cloud with a bunch of restful Watson services on it, which you can find. 6 times in the scene
- ▶ 4:34 Matt Turck So, so, so Watson was that thing, I mean, from, from my perspective, that was, you know, a few years ago, there was the, the Jeopardy story, and there was, ah, 8 times in the scene
- ▶ 10:28 Michael Karasick Um, the Chef Watson, as we call it, is also discovery-based. 10 times in the scene
- ▶ 10:36 Michael Karasick The first people to call us after the Watson game, we expected the standard, I should say, really, really interesting IBM
- ▶ 16:29 Michael Karasick So there's a, ah, I mentioned the, ah, the Watson Developer Cloud. 6 times in the scene
- ▶ 16:34 Michael Karasick It's a, a, um, Cloud Foundry based implementation, ah, the IBM version of that's called Bluemix. 4 times in the scene
- ▶ 16:34 Michael Karasick It's a, a, um, Cloud Foundry based implementation, ah, the IBM version of that's called Bluemix.
- ▶ 22:05 Matt Kroll Um, so in the marketplace, you see a lot of companies, um, playing around with a lot of different data science tools today, especially, you know, Hadoop is a huge market, you know, and, you know, there's obviously SAS, which has been… 5 times in the scene
- ▶ 24:58 Michael Karasick Just a, we've had teams at IBM and IBM Research looking at machine translation, speech technologies for a very long time.
- ▶ 24:58 Michael Karasick Just a, we've had teams at IBM and IBM Research looking at machine translation, speech technologies for a very long time.
Yann Lecun, Facebook // Artificial Intelligence // Data Driven #32 (Hosted by FirstMark Capital)
- ▶ 8:01 Yann LeCun Ah, I went to NEC, ah, the NEC Research Institute in, ah, in Princeton, which, ah, so NEC is the big Japanese company, the sort of Japanese IBM, if you want.
- ▶ 16:21 Yann LeCun Uh, so companies like, like Facebook, Google, Microsoft, Baidu, IBM, etc., 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 2 times in the scene
Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 8:33 Mike Olson You still want to do transaction processing and OLAP, and the systems that do that, Teradata, Oracle, IBM, DB-II, right, they co-evolved with those problems for 30 years.
- ▶ 8:33 Mike Olson You still want to do transaction processing and OLAP, and the systems that do that, Teradata, Oracle, IBM, DB-II, right, they co-evolved with those problems for 30 years.
- ▶ 12:53 Mike Olson You can think of us in the way that you think of Microsoft SQL Server, Oracle Database, IBM DB II.
- ▶ 16:51 Mike Olson It's about lock-out for IBM and Pivotal and Friends.
- ▶ 19:13 Mike Olson And in that world, were IBM to acquire Cloudera, it would be a pretty lousy day over at Intergalactic Headquarters for Intel, right? 3 times in the scene
- ▶ 23:56 Mike Olson But we have to have a way that IBM can't walk in and take our customers away by giving away all the bits and charging for basically consulting.
- ▶ 26:32 Mike Olson It was astonishing how quickly we had to deal with companies like EMC, uh, VMware, Spinout, Pivotal, and IBM, and SAP in the space, right, uh, elbowing us aside. 2 times in the scene
- ▶ 29:12 Mike Olson If you sort of add up all of the relational database spending that happens, call it thirty billion dollars a year, Oracle, Microsoft, IBM, in that order, and then, you know, there's a bunch of other players that kind of don't matter, right?
Nick Sinai, White House Deputy CTO // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital)
- ▶ 22:18 Ted Angelis Um, been doing, I've been doing some work lately with IBM Watson.
Mike Abbott, KPCB // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital)
- ▶ 0:32 Mike Abbott IBM, so I have a deep, you know, place in my heart for, for data processing and certainly New York.
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 1:57 Vance Loiselle And you will take an example like IBM and their global services business. 2 times in the scene
- ▶ 19:21 unnamed speaker My name's Violet with IBM.
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)
- ▶ 19:53 Michael Kutai I work at IBM.
Sandy Steier, 1010data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 1:40 Sandy Steier Um, there was some software that was sold by IBM and, and, and other companies like that, but basically, you did all the work yourself. 2 times in the scene
Corey Pearson, Custora // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
- ▶ 4:41 Corey Pearson The kinds of things that traditionally are done by in-house data science teams or maybe, you know, you go hire the big consultants, the IBMs of the world to, to build some custom models.
Itai Gurari, Judicata // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 5:13 Itai Gurari You know, a great example of that would be looking at IBM's Watson, you know, some of the answers that, that it gave on Jeopardy.
Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
- ▶ 33:20 Victor Coppola Things like Memorial Sloan Kettering is doing with IBM, um, on diagnosing, um, um, conditions.
Joe Lonsdale, Formation 8 // Fireside Chat at Data Driven NYC #20 (Hosted by FirstMark Capital)
- ▶ 15:52 Joe Lonsdale You can't just come in and have a slightly better solution than IBM and then somehow win an RFP.
Mike Dauber, Battery Ventures // Data Driven NYC 19 // October 2013 (interviewed by Matt Turck)
- ▶ 18:56 Mike Dauber Those, those last five to 10% actually proved to be pretty, pretty hard, and as much as we like to rag on the Oracles and, and, ah, IBMs and, ah, I said Oracle already, ah, Microsofts of the world, SAPs,
Panel Discussion // Data Driven #16 // May 2013
- ▶ 21:58 Claudia Perlich So then I went to IBM to the, uh, research lab at Watson, that's Bill Watson, and there the name of the game was Yet Sometime for Yourself.
Arnab Gupta, Opera Solutions // Data Driven NYC #17 // June 2013
- ▶ 15:18 Elliot Noma Uh, one of the recent uses of Artificial Intelligence has been demonstrated by IBM's competition with Jeopardy. 2 times in the scene
- ▶ 15:41 Arnab Gupta You know, I said, first of all, when I first confronted the whole, you know, because we work with a lot of customers we are running right now, trying to sell Watson, you know, into the enterprise, right? 4 times in the scene
Panel Discussion // NYC Data Business Meetup // May 2013
- ▶ 4:43 Matt Turck Companies like GE or IBM or a lot of those car manufacturers seem to be already very active in the space. 2 times in the scene
Panel discussion // Data Driven NYC #12 // Jan 2013
- ▶ 27:54 Matt Turck Um, so there's one quote, uh, that I read recently by, by Jeff Jonas, who, um, from IBM that I'm sure you guys know as a, um, industry luminary.
Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
- ▶ 8:36 unnamed speaker They do, but having said that, the person who, who won our HIV machine learning competition beating the, one of the people from the team that built IBM's Jeopardy winning Watson group, ah, he was a, um, English literature major.
- ▶ 8:36 unnamed speaker They do, but having said that, the person who, who won our HIV machine learning competition beating the, one of the people from the team that built IBM's Jeopardy winning Watson group, ah, he was a, um, English literature major.
Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
- ▶ 20:01 Chris Moody Clearly, social is going to be entering into that, so in that, in that example, for, ah, we would be providing social data to the BI, ah, platforms, the Oracles, the IBMs, those types of people.
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 2:45 Kirill Sheynkman So, you know, we were, we were kids, and that company fairly quickly was acquired by Informix, and it became a part of their analytical data warehouse products, and now it's part of IBM after
- ▶ 15:31 Kirill Sheynkman Academics, and that's why we have actually, you know, SQL was a language that IBM endorsed and came out, I think, AT&T originally, and as everything else did, you know, but so, so there, there, there's, there's not a formalism around how…