Two Grammarly data scientists discuss measuring AI ROI from two angles: one builds a novel experimentation framework, the other designs a new scoring system to quantify impact. They cover how each approach was designed, implemented, and validated, and share lessons learned.
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Speaker
Eduardo Laguna Muggenburg
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talks
Economist and Data Scientist
Grammarly
Economist and Data Scientist at Grammarly. Eduardo studies the professional communication ecosystem to ensure we deliver value to our multiplayer B2B buyers. His research helps guide product and marketing strategy. Background: PhD in economics with peer-reviewed publications in Nature and other top journals.
Bio from: Measuring the ROI of AI at Grammarly: Two Data Scientists, Two Approaches
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