#28 Opendoor’s Ian Wong on Disrupting the Real Estate Industry with Digital Transformation
发布时间 2022-06-27 16:26:31 来源
摘要
Ian Wong, co-founder and CTO of Opendoor, discusses how Opendoor uses data and machine learning to streamline the process of buying and selling your home, disrupting an entire industry.
Key Takeaways:
Trust in the numbers: All great algorithms start with great data, but having a high fidelity of data is one of the key differentiators for any high-performing model. When you’re mixing first-party data with third-party data, be intentional about how you create strategic data models that fit your business.
Data scientists need to hone business skills: As a data professional, it’s not enough to have a breadth of technical skills, coding, algorithms, statistics, and mathematics -- you must also have a firm grasp of business needs with solid communication skills. Remember: your research is not helpful if it does not meet the immediate needs of the business. Being able to find that balance is an integral skill for any young data scientist looking to break into the field.
Fail fast and experiment When it comes to machine learning, there's a lot of opportunity for failure. Launching a prototype quickly and iterating as you go is the name of the game. It shouldn’t take a quarter to make and deploy a new algorithm. The more time between inception and deployment, the less likely you will be able to use the insights gathered. Stay agile, move quickly, and follow the data.
Checkout more episodes - https://www.thoughtspot.com/data-chief/podcast
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