Fireside chat #1: How to Produce Sustainable Business Value with Machine Learning

Hilary Parker, a data scientist and independent consultant who has worked at Stitch Fix, Etsy, and as a data science product manager for the 2020 Biden for President Campaign, joins Hugo Bowne-Anderson and Outerbounds to talk about product management (PM) for products powered by machine learning (ML) and how to produce sustainable business value with ML. The modern capabilities of data science and machine learning are wonderful but, as an industry, we’re still figuring out how to generate sustainable business value with them, for the majority of businesses and industries. In this fireside chat, Hilary and Hugo will discuss what ML is useful for (and what it isn’t!), when companies should adopt ML, and what failure modes of ML-powered products we should all keep in mind. 00:00:00 Prelude 00:04:45 We begin to chat! 00:06:15 Hilary's background in data science and product management 00:14:15 Data at Stitchfix and Netflix 00:22:10 When should companies adopt ML? 00:30:00 ML Failure modes 00:40:10 Product management for ML products 00:50:20 On full-stack machine learning 00:58:45 What do PMs need to know about data science and vice versa? 01:02:20 Is the future of all software machine learning? Find out more about how we think about MLOps, OSS, and human-centric data science tools here: https://outerbounds.com/