AI for Estimating Home Prices - with Stefan Boronea of Proportunity

Today’s guest is Stefan Boronea, Co-Founder and CTO of Proportunity. Based in London, Proportunity is a company that has raised over $170M. In this episode, we dive into the topic of where machine learning can add value in terms of accurately predicting the price of homes both now and in the future. Stefan highlights the kind of data and features that are important to understand the price of a home in the present and the future. Another critical idea he shares is about the future of the market when both buyers and sellers have access to vastly more accurate data on estimating and forecasting prices. He discusses these ideas from the standpoint of buying and selling houses and gives a perspective on how they may impact larger assets. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for enterprise leaders, visit emerj.com/p1.

Om Podcasten

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise