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 4 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
Moses: Validating data at a single pipeline point is no longer sufficient
“And so making sure that your data is accurate at only one point of the pipeline is just no longer sufficient”
Barr Moses Apr 12, 2022 ▶ 9:52 Unlocking Data Observability with Monte Carlo's Barr Moses
Insight
Moses: Centralized data teams become bottlenecks as data usage scales
“Today you have like hundreds of people working with the data. It does not make sense anymore that there's one team that sort of has the keys to it and is really actually just ends up as a bottleneck.”
Barr Moses Apr 12, 2022 ▶ 11:07 Unlocking Data Observability with Monte Carlo's Barr Moses
Insight
Moses: Machines cannot infer semantic business logic without human input
“I don't think that a machine can actually infer that we can infer something without knowing that business knowledge. It's not possible, and that's also not what we attempt or attempting to do at Monte Carlo.”
Barr Moses Apr 12, 2022 ▶ 19:26 Unlocking Data Observability with Monte Carlo's Barr Moses
Insight
Moses: Generating actionable data quality alerts without alert fatigue is inherently difficult
“Making alerts meaningful making them ones that your team can actually act on is something that's very hard to do that we've invested a lot to do.”
Barr Moses Apr 12, 2022 ▶ 22:10 Unlocking Data Observability with Monte Carlo's Barr Moses
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