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 10 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
Alex Dean: Data exhaust from SaaS tools is poorly suited for AI models
“Increasingly people are finding that this data exhaust is not well suited to AI, to advanced ML use cases.”
Alex Dean: Google Analytics is poorly suited outside retail and publishing
“Google Analytics, for example, it's pretty decent if you're a news publisher. It's pretty good if you're kind of a standard retailer. Once you go outside of those you know, it, it's much less kind of tailored to those other industries.”
Alex Dean: Behavioral data predicts form fraud better than demographic data
“If you're filling out a form fraudulently, actually, your behaviors are super different from if you're filling it out genuinely. So like, you know, a fraudster will probably copy-paste their name into a box. It's not really their name. And so that signal's bee…”
Alex Dean: Schematized data creation accelerates feature engineering and model training
“Because you're deliberately creating this data, because you're creating it in a very schematized way, it's much quicker to get to the feature Engineering, it's much quicker to get to the model training.”
Alex Dean: Sentence-like syntax makes behavioral data highly predictive for ML
“If you describe behavior, human behavior in that way, you get to very, very granular descriptions of what's happened in the past, and those are highly, highly predictive for machine learning.”
Alex Dean: Early-stage B2B software adoption happens city by city
“I think a lot of tech is adopted almost city by city, and so I think that one of the things we got right in the early years was focusing on a few cities like New York, Berlin, London, to really grow the scene there, and then you get positive word of mouth.”
Alex Dean: Strava generates four billion events per day using Snowplow
“Strava's been a Snowplow customer for some time, and they generate four billion events per day with Snowplow, and that drives into Snowflake, and then they build all sorts of cool data apps on the other side of it, including a lot of the Strava UI and a lot of…”
Dean: COVID-19 drove widespread retail adoption of Snowplow's platform
“Before COVID there was not very much adoption of snowplow in retail. And then basically what happened is through COVID these big retailers in the UK, US and beyond really started building out data teams, really started taking their kind of digital experiences …”