“HouseCanary and Cherre, for example, have leveraged machine learning and predictive analytics to refine estimates of valuation and forecasts down to the individual block.” –GeekEstateBlog
This marks the third year in a row that Cherre has been a category winner in the most prestigious awards in commercial real estate tech
New York,
As we kick off the new year and reflect back on 2019, it’s clear that 2019 was a year of growth and expansion for the PropTech space.
Building an effective knowledge graph requires a combination of technical skills (data science and data engineering) and domain knowledge. These skills are especially important when trying to build a knowledge graph for commercial real estate data as it has many unique challenges to construct.
