Hoover: ML apps create compounding data network effects for early movers
Brad Hoover · Secrets To Combining PLG and Enterprise Sales with @grammarly CEO Brad Hoover · Oct 25, 2022 · at 10:21
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Brad Hoover, CEO of Grammarly, discusses the strategic advantages of being an early mover versus a fast follower in machine learning-driven software.
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“Certainly an example of applications that do are machine learning powered applications that have data network effects. Grammarly is an example of that. In our case, as an early mover, that enabled us to really build a very high quality set of suggestions to drive these results.”
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