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 8 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
Orad: Sisense processed 10TB of data in 10s on a $1k server
“Taking 10 terabytes, 10 terabytes, and in 10 seconds, running all the algorithm analysis on a standard Dell server that cost, you know, a thousand dollars.”
Sisense analyzed 10 terabytes in 10 seconds on a sub-$10k server
“We demonstrated Strata in Santa Clara last year, 10 terabytes, ok, analyzing 10 seconds on a sub-ten-thousand dollar standard Dell server.”
Sisense demonstrated analyzing 1TB of data on a $750 laptop
“When we launched in Strata in New York last year, we demonstrated a terabyte of data analyzed on a 750 dollar laptop with eight gigs of RAM.”
Kramer: Marketing and HR have more female leaders than technical roles
“We do tend to see more of the marketing and the HR functions still have the greater amount of women leaders versus some of the more technical.”
UiPath uses Sisense to power its RPA analytics and monitoring
“UiPath is a public one that we do that with. So when you're using UiPath's RPA, all of the monitoring and all of the analytics within is Sisense.”
Sisense added data pipeline capabilities for direct write-backs to cloud warehouses
“The new capabilities that we've added is being able to write back to the cloud data warehouse.”
Orad: Sisense has over 1,000 customers including NASA, eBay, and Target
“A thousand customers from NASA to Lockheed Martin, to Sandisk, to Motorola, to eBay, to Target, you name it, really nice names.”
Sisense re-architected its analytics platform on microservices for cloud scaling
“We're completely microservices based architecture. Another decision made to stay ahead of the game was a rewrite of the platform. And so now we can fit into any cloud ecosystem in scale as the data and the analytics scale.”