Beyond the Algorithm: A Framework for Building Machine Learning Products (part 2)

The trends of big data and cost-effective computing power have given way to an unprecedented focus on developing machine learning algorithms and open source tools, making machine learning more accessible and powerful today than ever. But building successful machine learning products involves much more than picking the right algorithm or library. It’s a product manager’s job to use machine learning for the right problems, and to make sure the end user experience solves those problems and fosters user trust. This workshop will provide a framework for determining problems that are good for machine learning to solve. After analyzing a machine learning product in the market today, groups will then put the framework into practice by picking a problem they’re interested in solving with machine learning and presenting all the pieces that a PM would need to bring to the table when kicking off a new machine learning product feature.