Real estate, real AI: Insights and decisions in the world’s largest asset class
Residential real estate is both the world’s largest asset class and most families’ single largest financial investment; thus, the intersection between big capital and big humanity is key to understanding this industry. However, despite the size of the industry, the processes involved in valuing, buying, selling, and understanding the rhythms of the industry are largely opaque.
Sources of data used by financial institutions are both public and private and, as with most data issues, can be seemingly infinite. Still, most of the automated and large-scale models for important elements like valuation are clunky and inadequate—easily seen when attempting to get an estimate for the “true value” of any house in the United States, or for that matter, any other country.
Romi Mahajan explains how to determine real estate valuation and other related processes with accuracy and fidelity, using data streams, analysis, algorithms, and advanced AI techniques borrowed and derived from physics and computational genetics.