The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 6 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

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]
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]
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]
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]
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]
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]
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