IBM, every mention

19 scenes (2015), the whole family · ← back to IBM

tap a year for its mentions
0030560102013201420152016201720182019202020212022202320242025episodesmentions
05102013201420152016201720182019202020212022202320242025episodes it came up in
005510102013201420152016201720182019202020212022202320242025episodesmentions per episode

every year 2015 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

loading…

10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark) Dec 17, 2015 · 1 mention

The Acceleration of Innovation in Big Data w/ Stefan Groschupf, Datameer Dec 17, 2015 · 1 mention

  • ▶ 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) Sep 14, 2015 · 3 mentions

Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC) May 28, 2015 · 1 mention

  • ▶ 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) Apr 20, 2015 · 1 mention

  • ▶ 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) Feb 18, 2015 · 1 mention

  • ▶ 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) Jan 15, 2015 · 50 mentions

  • ▶ 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.
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.