“Garbage in, garbage out.” It’s a philosophy every data leader is familiar with. Your algorithms and models are only as good as the data you put in them -- so how do you ensure the data you are leveraging is reliable and trustworthy?
Joining Cindi today is Opendoor Co-founder and CTO, Ian Wong. Opendoor is on a mission to remove the guesswork from homebuying, and in this episode, Ian details how the company’s algorithms provide future homebuyers peace of mind about getting the best possible offer for their home. Ian explains how the team harnesses multiple data sources and uses machine learning to maintain a competitive advantage. Plus, Ian and Cindi discuss how to turn those valuable data insights into measurable business results.
All that and more on today’s episode with Opendoor’s Ian Wong.
Ian Wong is the co-founder and Chief Technology Officer of Opendoor, where he is responsible for the development of product and technology. Ian is building a team of engineers, data scientists, product managers and designers to modernize the real estate industry. He was previously pursuing his PhD in electrical engineering at Stanford when he left to join Square as their first data scientist. At Square, Ian developed tools and algorithms to handle risk. He has earned Masters degrees in electrical engineering and statistics from Stanford University. As a mission-driven real estate marketplace that radically simplifies home buying and selling, Opendoor has been used by over 85,000 customers in more than 25 metros nationwide.
The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.