Creating a Data Strategy for Machine Learning as a Product Manager

Frameworks and examples from 15 product experts at leading technology companies

Photo by Campaign Creators

Background

This article is part of a larger body of research (see other articles below) about how product managers are incorporating machine learning into their products and was conducted by Brian Polidori and myself while MBAs at UC Berkeley with the help of Vince Law as our faculty advisor.

The research is an attempt to understand how product managers are designing, planning, and building ML-enabled Products. To develop this understanding, we interviewed 15 product development experts at various technology companies. Of the 15 companies represented, 14 have a market capitalization greater than $1 billion, 11 are publicly traded, 6 are B2C, and 9 are B2B.

The product managers guide to ML series:

• Identifying Opportunities for Using Machine Learning as a Product Manager
• 4 Steps for Product Managers to Get Started with Machine Learning
• Creating a Data Strategy for Machine Learning as a Product Manager
• Principles for Product Managers on How to Manage a Machine Learning Model

Data strategy…