Building Decision Products with Machine Learning: Lessons from Opendoor

A talk by Sam Stone
Product Lead, Pricing, Opendoor

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About this talk

Product managers have increasing opportunities - and face mounting pressure - to use machine learning to improve their products. This pressure comes from many places: engineers and data scientists excited by cutting-edge algorithms, sales and marketing stakeholders looking to solve problems faster, PMs' own desires to serve users better. We'll explore how to build great machine learning products that help users make better decisions, drawing on lessons from Opendoor at the intersection of fintech and consumer products.

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