StarZero All shows Try the podcast clipper →

Mike Driscoll

Co-founder and CEO, Rill Data · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveinvestor@medriscoll ↗LinkedIn ↗medriscoll.com ↗

Mike Driscoll is the co-founder and CEO of Rill Data. He previously co-founded and served as CEO of Metamarkets until its acquisition by Snap Inc., and is a founding partner of DCVC.

10statements → 4claims → 1claims resolved → 3.6/5average certainty → 2.8/5average debate potential → 2said about them ↓

0 supported 1 partly supported 0 contradicted 3 not checkable as stated how the 4 claims stand · each chip opens the sources

1 prediction · 3 assertions · 2 opinions · 4 insights · every statement was checked. The prediction and assertions are the 4 claims: statements the public record can support or contradict. 1 is resolved, and 3 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Mike argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

254 words/min while actually speaking · 36.4 um and uh per 1k words

No argument clarity score for Mike Driscoll: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,326 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Mike Driscoll said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Mike Driscoll: Data-holding entities will win as algorithms move to data
“Analytics and algorithms are light. Data is very heavy. So the natural course of things will be that the algorithms will move to where the data lives. And the entities that have the data will ultimately win because of that strategic advantage”
Mike Driscoll Dec 5, 2013 ▶ 18:00 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Not checkable as stated
Mike Driscoll: Telcos hold the world's most powerfully predictive social graphs
“If you want to know who has the most powerfully predictive social graphs on the planet, it's the telcos, because who you call and who you text is an extraordinarily strong indicator of who you actually are connected to in a social way.”
Mike Driscoll Dec 5, 2013 ▶ 24:06 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Opinion
Mike Driscoll: Klout is a bad company due to poor algorithms
“Clout's maybe a crappy company because their algorithms are bad”
Mike Driscoll Dec 5, 2013 ▶ 36:05 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Insight
Mike Driscoll: Solving real data problems beats taking data science courses
“I think that a lot of people who are interested in data science will, Decide that, you know, I gotta, I should go take a bunch of courses and read a bunch of books, and check a series of boxes, you know and I think that's actually the wrong approach. I think t…”
Mike Driscoll Dec 5, 2013 ▶ 1:56 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Insight
Mike Driscoll: Reject data science candidates who fail basic command-line tasks
“If someone can't get an answer to that, cannot pull that column off and turn it into a human readable date string, In the order of minutes, you do not want that person as a data scientist.”
Mike Driscoll Dec 5, 2013 ▶ 9:41 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Not checkable as stated
Mike Driscoll: Installing Hive on a Hadoop cluster increases usage by 10x
“Once you install Hive onto Hadoop cluster, usage of that cluster typically goes up by a factor of 10 because you lower the friction of getting data out of that system.”
Mike Driscoll Dec 5, 2013 ▶ 31:06 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Assertion Partly supported
Mike Driscoll: Big pharma R&D cuts create data science recruiting opportunities
“Most big pharma actually have turned, reduced their investment in R&D, and many of, it's a great place to recruit data scientists is out of these pharma R&D labs.”
Mike Driscoll Dec 5, 2013 ▶ 35:20 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Opinion
Mike Driscoll: Running algorithms via Apache Mahout on Hadoop is too slow
“I think the problem with Mahoot is that anything, it's, many of these things are, if you run in Hadoop, you're slow. You need to be able to run in an environment that's fast”
Mike Driscoll Dec 5, 2013 ▶ 53:02 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Insight
Mike Driscoll: Hire ML talent for structured problems, domain experts otherwise
“If your data is already structured well enough, and you've got a set of criteria to define the success of your machine learning algorithm, then you should hire the strongest pure machine learner you can find. You should find someone who would, you know, who's …”
Mike Driscoll Dec 5, 2013 ▶ 6:19 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
Insight
Mike Driscoll: Combining human data labeling with machine learning outperforms pure automation
“People make this sort of distinction of either it's machine learning or it's people. Either you've got a team in India or, you know, Romania working through the data, trying to make sense of it or you've got some algorithm working on it, but I think there is a…”
Mike Driscoll Dec 5, 2013 ▶ 57:32 Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012

The other half of the tape: Mike Driscoll's own voice is left out of every number here. Other people bring the name up 2 times in 2 episodes on the MAD Podcast. every mention, with the transcript →

Who brings them up most Auren Hoffman 1Aaron Katz 1

Every mention by year

tap a year for its mentions
00111120172018201920202021202220232024episodesmentions
01120172018201920202021202220232024episodes it came up in
000.50.51120172018201920202021202220232024episodesmentions per episode
2024 1 mention in 1 episode
2017 1 mention in 1 episode

Appearances (1)

EpisodeDateSpeaking time
Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012 Dec 5, 2013 16m
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.

Try the podcast clipper Learn more