A series
6 pieces, in the order they were written to be read.
6 pieces
What Conti, Peukert, and Roche found about open-source engagement and early funding, and how I would turn it into a sourcing signal a small investment firm can define, test, and trust.
What Maxime Bonelli found about venture firms that adopted data technologies for screening, and how I would decide whether a small investment firm should let a model rank its pipeline.
What Csaszar, Ketkar, and Kim found when they compared language models with investors at generating and judging startup strategies, and how I would decide where a model belongs in a small investment firm's decision.
What Woods, Böhme, Wolff, and Schwarcz found about how cyber insurance and breach attorneys shape incident response, and how I would plan the record a small registered adviser keeps after an incident.
What Brynjolfsson, Li, and Raymond found when a software firm gave its support agents an AI assistant, and how I would decide who at a small investment firm gets one first and how to watch quality.
What Brown, Gredil, and Kaplan found about private equity fund valuations reported during fundraising, and how I would design a small investment firm's reporting, its review of incoming marks, and its record around a raise.