Data-driven VCs
Who is using AI to be a better (and smarter) investor
I. A data-driven what??
The ones of you who know me are very well aware that if there is something which has sort of obsessed me for the last few years, this is definitely how to use analytics and AI to improve the venture industry.
While I tended to focus on scouting and evaluation, I learned that AI can be also used to spot general trends, identify market gaps, improve VCs portfolio management, better match co-investors, and deals, gather intelligence on competitors’ landscape, identifying potential acquirers, and improve pricing models.
I have been thinking about those issues for a while now (and stay tuned because I will post over the next few months my latest research in this field), and did already write on the importance of using AI in VC, summarized some academic research on this topic, and generally wrote about AI investors and accelerators.
I am clearly not the first one who is arguing for a data-driven approach to investing, and I thought it would have…
