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
Sheynkman: Businesses built solely on selling raw data are unlikely to succeed
“So now we're going to generate a lot of data, and that's supposed to be a revenue model, and that's supposed to be for us VCs going, oh yeah, they're going to have lots of data, let's, let's, let's give them money. Not really. So what are you going to do with …”
Sheynkman: Venture capital should be your last job, not your first
“VC should be your last job, not your first job”
Sheynkman: No big data startup has reached actionable knowledge yet
“With the big data world, we're excited about the data part. We're starting to get some information out with visualization and alerting and monitoring, things like that. No one has yet gotten to knowledge.”
Kirill Sheynkman: Apple uses GridGain for supply chain analytics
“Apple uses them to supply chain analytics.”
Sheynkman: Analytics software must be transparent glass boxes, not black boxes
“We don't want our analytics to be black boxes. We want them to be boxes with a glass top that I can look and see how things happen, open it up, reach in and figure out what went on there.”
Kirill Sheynkman: Automated machine-to-machine processing will dominate real-time data systems
“Really a lot of the trading that goes on is actually done by machines receiving feeds from other machines, and I think the same is true, is going to be true with systems, that systems that understand signals, that, that can react.”
Kirill Sheynkman: No standard language exists yet for real-time streaming data transformation
“And we have, we don't have a language yet for transforming streaming data and operating on it in real time.”
Sheynkman: Technology cycles start at infrastructure before moving to applications
“You start with the infrastructure layers, and you start at the bottom, and you gradually move up in terms of things.”
Sheynkman: Core corporate data is a competitive advantage and shouldn't be public
“There's certain things that are very proprietary and they should be proprietary, right? And I think that, that some of the data that Federal Express and Amazon and Walmart have, That's their competitive advantage, and why would they ever want to publicize it? …”