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.
why aren't all 9 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
Elprin: Apache Spark still generates more industry hype than actual business value
“I think there's still more hype around Spark than actual value extraction from it.”
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.”
Elprin: Data science progress relies on compounding small insights, not epiphanies
“Progress actually comes from lots of little insights that compound over time”
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”
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…”
Elprin: Regulatory compliance drives enterprise demand for data science reproducibility tools
“One of the really interesting things about reproducibility we've learned is that it's been extremely resonant in industries where there are regulatory and compliance concerns, and we're sort of seeing that more and more, especially in financial services, they'…”
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.”
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.”
Elprin: Rapid model deployment creates feedback loops that sustain team funding
“If you've actually built something that works, how quickly can you get it out into the business? Because that, that creates the feedback loop that that creates credibility and buy-in to continue sort of investing in the work that's going on.”