Building machine learning systems with high predictive accuracy is inherently hard, and embedding these systems into great product experiences is doubly so. To build truly great machine learning products that reach millions of users, organizations need to marry great data science expertise, with strong attention to user experience, design thinking, and a deep consideration for the impacts of your prediction on users and stakeholders. So how do you do that?
Today’s guest is Sam Stone, Director of Product Management, Pricing & Data at Opendoor, a real-estate technology company that leverages machine learning to streamline the home buying and selling process. Sam played an integral part in developing AI/ML products related to home pricing including the Opendoor Valuation Model (OVM), market liquidity forecasting, portfolio optimization, and resale decision tooling. Prior to Opendoor, he was a co-founder and product manager at Ansaro, a SaaS startup using data science and machine learning to help companies improve hiring decisions. Sam holds degrees in Math and International Relations from Stanford and an MBA from Harvard.
Throughout the episode, we spoke about his principles for great ML product design, how to think about data collection for these types of products, how to package outputs from a model within a slick user interface, what interpretability means in the eyes of customers, how to be proactive about monitoring failure points, and much more.
#163 Upgrading Company Culture Using The Geek Way with Andrew McAfee, Principal Research Scientist at the MIT Sloan School of Management
#162 Scaling Data Engineering in Retail with Mohammad Sabah, SVP of Engineering & Data at Thrive Market
#161 Fighting for Algorithmic Justice with Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League
#160 Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine
#159 Building Trustworthy AI with Beena Ammanath, Global Head of the Deloitte AI Institute
#158 Building Human-Centered AI Experiences with Haris Butt, Head of Product Design at ClickUp
#157 Is AI an Existential Risk? With Trond Arne Undheim, Research Scholar in Global Systemic Risk at Stanford University
#156 Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
#155 Building Diverse Data Teams with Tracy Daniels, Chief Data Officer at Truist
#154 Building Ethical Machines with Reid Blackman, Founder & CEO at Virtue Consultants
#153 From Data Literacy to AI Literacy with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot
Introducing Data & AI Literacy Month
#152 How Data can Enable Effective Leadership with Dr. Constance Dierickx, The Decision Doctor
#151 How Data Science Can Sustain Small Businesses with Kendra Vant, Executive GM Data & AI Products at Xero
#150 Unlocking the Power of Data Science in the Cloud
#149 Expanding the Scope of Generative AI in the Enterprise with Bal Heroor, CEO and Principal at Mactores
#148 Why AI is Eating the World with Daniel Jeffries, Managing Director at AI Infrastructure Alliance
#147 The Past, Present & Future of Generative AI—With Joanne Chen, General Partner at Foundation Capital
#146 Do Spreadsheets Need a Rethink? With Hjalmar Gislason, CEO of GRID
#145 Why AI will Change Everything—with Former Snowflake CEO, Bob Muglia
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Lex Fridman Podcast