Domino Data Lab

6 statements across 1 episodes · 1 bullish · 1 bearish · 1 people on the record · first statement Nov 9, 2016 by Nick (Domino Data Lab) · said 8 times in 2 episodes since 2016 · across every show →

Mentions by year

brought up most by Nick (Domino Data Lab) (3), Ash Fontana (2)

tap a year for its mentions
00316120162017episodesmentions
01120162017episodes it came up in
0030.56120162017episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about Domino Data Lab, oldest first

Nov 9, 2016 negative
Insight
Elprin: Agility to experiment with new tools beats single-platform lock-in
“That's never the answer. It's much more about having agility to let people rapidly experiment with whatever the next thing is that comes out”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 3:45 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
Nov 9, 2016 positive
Insight
Elprin: Elite data science organizations prioritize collective knowledge over solo practitioners
“The best organizations we've seen think of their work as contributing to collective knowledge.”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 2:23 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
Nov 9, 2016 neutral
Insight
Elprin: Data science progress relies on compounding small insights, not epiphanies
“Progress actually comes from lots of little insights that compound over time”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 2:49 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
Nov 9, 2016
Insight
Elprin: True data science reproducibility requires code, data, results, and environment
“What we've learned is that for this kind of work, this advanced analytics quantitative research work, reproducibility is more than just, hey, we have a snapshot of the code. You know, like, that's, you know, it's great for software engineering. GitHub does tha…”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 6:11 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
Nov 9, 2016
Assertion Not checkable as stated
Elprin: Highly sophisticated enterprise data teams often operate outside strict compliance walls
“I think that the folks who are doing sufficient, sufficiently sophisticated work to really want to use what we're doing tend to be in groups where they don't have those restrictions.”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 19:23 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
Nov 9, 2016
Insight
Elprin: Drive organizational best practices by packaging them inside individual productivity tools
“What those people seem to want is the ability to test more ideas faster, that experimental agility some ways to sort of expose their work more out into the business. But let's package that in a way that automates or incentivizes best practices.”
Nick (Domino Data Lab) Nov 9, 2016 ▶ 8:51 Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
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.