Product Management for AI

11:30 - 12:00 | Friday, May 24

Companies that understand how to apply AI will scale and win their respective markets over the next decade. That said, delivering on this promise and managing machine learning projects is much harder than most people anticpate. Many organizations hire teams of PhDs and data scientists, then fail to ship products that move business metrics. The root cause is often a lack of product strategy for AI, or the failure to adapt their product development processes to the needs of machine learning systems. This talk will cover some of the common ways machine learning fails in practice, the tactical responsibilities of AI product managers, and how to approach product strategy for AI.

Peter Skomoroch, former Head of Data Products at Workday and LinkedIn, will describe how you can navigate these challenges to ship metric moving AI products that matter to your business.

Peter will provide practical advice on:

  • The role of an AI Product Manager
  • How to evaluate and prioritize your AI projects
  • The ways AI product management differs from traditional product management
  • Bridging the worlds of design and machine learning
  • Making trade offs between data quality and other business metrics

Peter Skomoroch
Head of Data Products, Workday

Peter Skomoroch is Head of Data Products at Workday. He was Co-Founder and CEO of SkipFlag, a venture backed deep learning startup which was acquired by Workday in 2018. Peter is a senior executive with extensive experience building and running teams that develop products powered by data and machine learning. Previously, he was an early member of the data team at LinkedIn, the world’s largest professional network with over 500 million members worldwide. As a Principal Data Scientist at LinkedIn, he led data science teams focused on reputation, search, inferred identity, and building data products. He was also the creator of LinkedIn Skills and LinkedIn Endorsements, one of the fastest growing new product features in LinkedIn’s history.

Before joining LinkedIn, Peter was Director of Analytics at Juice Analytics and a Senior Research Engineer at AOL Search. In a previous life, he developed price optimization models for Fortune 500 retailers, studied machine learning at MIT, and worked on Biodefense projects for DARPA and The Department of Defense. Peter has a B.S. in Mathematics and Physics from Brandeis University and research experience in Biology and Neuroscience.