“Geophy might be one of the first to take a crack at commercial property appraisal with AI, but it’s not the only one applying machine learning to the real estate market. Israel-based Skyline AI, which announced an $18 million funding round in July 2018, uses a proprietary dataset to make predictions about property values. Jointer.io, which emerged from stealth early last year, taps AI and blockchain technology to power its primary securities market for commercial properties. And New York-based Cherre leverages artificial intelligence to resolve property data from thousands of public, private, and internal sources in real time.”
You’re barraged by real estate data sales pitches every day. Buzzwords like AI, Moneyball, or Bring-Your-Own-Data Visualization layers. But you rarely hear about implementations that drive ROI. That’s because most sales pitches are bullsh*t.
“The World As a Service: A peek into the future technology is creating.”
You won’t want to miss James Whittaker’s keynote at the inaugural Cherre Data Summit on May 19 in NYC: “The World As a Service: A peek into the future technology is creating.”
14 reasons your data project has failed (including reasons you’ve never heard before)
By Raj Bhatti, SVP Client Solutions
Twenty-five years ago was the first time I heard a senior business leader say,
