Insights on how to use AI in real estate for property managers, investors, and brokers.
Using computer vision to identify value-add deals in the multifamily real estate sector can be a game-changer. Value-add deals refer to properties that offer the potential for increased returns through various enhancements, such as physical improvements, operational changes, or market position improvements.
As the real estate data science team at Hello Data has been analyzing rent and time on market from apartments across the country, we’ve noticed an interesting phenomenon in some properties… they keep a few units on the market seemingly forever.
Prompt libraries serve as centralized, categorized repositories of prompts that enhance the efficiency and reliability of AI models. They are particularly useful for tasks like image and text generation. This article highlights added functionalities like version control and data governance that make these libraries invaluable.
Explore how to analyze and leverage rent concessions in real estate with HelloData's advanced technology. Learn about net effective rent, the importance of rent comps, and how we automate the process for you.
The data science team at HelloData.ai recently launched a new rent comp analysis algorithm that combines the power of computer vision and AI to generate an incredibly robust multifamily market analysis in seconds. In this post, we’ll delve into some of the techniques we're using to identify and analyze comparable properties with greater precision than ever before.
Drawing from my own experiences in large-scale product development as a former Chief Product Officer at a publicly traded mortgage lender, I hope to provide you with valuable insights on how to identify the internal problems worth solving and select the key stakeholders to drive your solution forward.
On average, insurance costs have increased by about 27% from 2020 through the end of 2022. The Midwest saw the lowest increases from 2020 – 2022 at only 21%, while the South experienced a 39.3% increase in insurance costs over the same time period.
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