Dottid's new custom-built AI models for asset management, unveiled at CREtech this week, create a new form of over-the-horizon benchmarking that dramatically speeds the calculations now done by analysts and brings the emerging technology to the doorstep of bot-powered predictive analytics.
According to CEO Kyle Waldrep, the models are designed not only to speed real estate decisions, but, ultimately, to "get in the face" of decision-makers and push them in the right direction.
"The near-term use case is predictive analytics. We want to know what's going to happen—pick your timeline, in six or 12 months—over the horizon and we want to benchmark against that," Waldrep told Globe St.
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