“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.”
Just as rotten eggs ruin a recipe, rotten data sickens downstream processes like underwriting, reporting, financial modeling, dashboards, and AI models.
You need to be on your game to tell the difference between a time- and money-wasting AI solution and one that actually moves the performance needle.
Amidst all the hype, it can be challenging to distinguish genuine value from noise, avoid the bullsh!t, and develop a strategy that truly benefits your organization. We dive into the essential components of creating an effective AI strategy.
