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 3 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

Disclosure
Wise.io chose managed cloud services over building infrastructure in-house
“So we made, as a young startup, the decision that if there was a managed service around what we needed to do to get something into production, and we're at the millions of predictions level a month over dozens of customers now, we were just going to, we were j…”
Josh Bloom Nov 23, 2015 ▶ 4:09 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Disclosure
Wise.io chose customer success as its first target for ML automation
“In an industry, the place where we wound up landing is in customer success.”
Josh Bloom Nov 23, 2015 ▶ 2:51 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Disclosure
Wise.io uses agent acceptance and rejection of suggestions as model feedback
“What we do in Wise is we give, essentially, the agents the ability to take our suggestions for how to answer a support ticket, and if they don't, then that becomes feedback for us, and if they do, that also becomes feedback.”
Josh Bloom Nov 23, 2015 ▶ 15:44 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
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