Does the word underwriting here make sense ?
" Underwriting is the process of evaluating a property’s financial viability and risk "
But just like chatGPT, throwing in questions based on your know how result in translating it to an action plan..
app . xmap . ai 🎉
Consulting firms collect so many data points about the location:
Local Demographics
Nearby Competition
Transport Access
Rental Rates
Zoning Laws
Economic Trends
80% of the time is usually spent on data collection and cleaning rather than focusing on the core value
Ever done real-estate due diligence ? We thought about it, if there is a model that can assist in deciding what data points to collect, which one to factor into the decision making process and overlay facts to support the conclusion .. and we built it ..
app . xmap . ai
We are launching xMap in the U.S. - a fully interactive map search and site assessment for enterprise. ( link is app . xmap . ai ) 📣📣📣📣
Objective:
Enhance my physical fitness and stamina
Key Results:
Run 2 times per week, increasing distance from 1km to 3km by December 15.
Track heart rate after workouts, reducing average recovery time from 5 minutes to 3 minutes by the end of year
#GoogleForStartups
(4) Telecom: instead of looking at ton's of dashboards on site reliability and signal strength to understand root causes, LLM's will just tell the quality of signal and the causes of bad signal and recommend improvement
(3) Retail: every head of real estate in a large retail chain will set behind models to ask questions about the location rather than visiting it ....
(2) Real estate: LLMs will be able to tell the best property utilization (hotel, mixed landuse or others) and recommend tenants based on studying the area .. after all it's data input and reasoning of it ..
This went viral last week, LLMs do not work well with geospatial data:
Some applications that will be unlocked:
(1) Defence: Retrieve information like how many people live within 1km of this target
Keep reading...
#LLM #LLMs #GenerativeAI
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(2) Real estate: LLMs will be able to tell the best property utilization (hotel, mixed landuse or others) and recommend tenants based on studying the area .. after all it's data input and reasoning of it ..
(4) Telecom: instead of looking at ton's of dashboards on site reliability and signal strength to understand root causes, LLM's will just tell the quality of signal and the causes of bad signal and recommend improvement
Considering to re-locate in this appartment in the Middle of Tokyo.
Saw it, loved it and planning to move in it.
#life #data #marketing


