Barr Moses, Founder and CEO of Monte Carlo, responds to an audience question about the limits of automated data observability without human domain knowledge.
“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.”
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More from Barr Moses
AssertionContradicted
Moses: Monte Carlo uniquely offers out-of-the-box cross-system observability
“So we're actually the only sort of product and market that you can connect today to those sort of different systems and sort of automatically out of the box, get an overview of what the health of your data looks like and sort of observability for your data on …”
Barr MosesApr 12, 2022▶ 13:15Unlocking Data Observability with Monte Carlo's Barr Moses
Opinion
Moses: Traditional data catalogs are dead; long live automated data discovery
“We actually wrote a blog post not too long ago called data catalogs are dead. Long live data discovery.”
Barr MosesApr 12, 2022▶ 18:26Unlocking Data Observability with Monte Carlo's Barr Moses
AssertionNot checkable as stated
Moses: Public companies accidentally report incorrect financial numbers to Wall Street
“Companies actually report numbers to the street and accidentally report, report the wrong numbers, or about to report the wrong numbers.”
Barr MosesApr 12, 2022▶ 2:42Unlocking Data Observability with Monte Carlo's Barr Moses
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 MosesApr 12, 2022▶ 9:52Unlocking 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 MosesApr 12, 2022▶ 11:07Unlocking Data Observability with Monte Carlo's Barr Moses
PredictionNot checkable as stated
Moses: Automation can resolve 80% of data downtime causes
“By introducing that level of automation, we can reduce our customer's team's work. Work from, you know 80% manual work to 20% manual work. So we can actually, you know, with the automation cover, cover 80% of reasons for why data downtime incidents happen and …”
Barr MosesApr 12, 2022▶ 19:39Unlocking Data Observability with Monte Carlo's Barr Moses
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