Does this AI already exist or you mean build one? I'm assuming build one as otherwise the banks would have access to it already (or after a few bad bets). I do suspect something like this already exists behind closed doors for identifying vacant buildings because some insurance companies have gotten suspicionsly good at identifing them without inspection.
I don't know how familiar you are with AI/ML but the problems it has a chance of solving generally fall into 2 camps:
1. Supervised: Needs a ton of labeled data (if a building is actually vacant or not) to find complicated relationships (Most useful AI)
2. Unsupervised: The solution/correlation is so obvious that it almost always could have been done faster with basic statistics.
If this problem is in the Supervised camp, then my concern is where are we getting the labeled data as vacancy is quite closely guarded secret by owners (as far as I know?). If its in the unsupervised camp, then that's great for the short term (assuming banks are not already aware) but also means they will likely figure it out quickly.
Aside from concerns about relying on an AI silver bullet so heavily, I'm not trying to put down the idea as even if in the short term, it could be massively profitable. I'm personally betting on real estate in a similar way but with less risk tolerance (and less profit potential). Personally, I would be interested in helping build out this AI (assuming it's of the supervised type) but investing in something like this is too far outside my risk tolerance (at least from the information I have so far).
We've identified tons of input data that we can use to train a model based upon previous defaults using a supervised model. Definitely the hard part is finding a willing counterparty.
Sounds like a scam to me.
Have you seen the movie The Big Short? It's literally the same thing. Lol.
Does this AI already exist or you mean build one? I'm assuming build one as otherwise the banks would have access to it already (or after a few bad bets). I do suspect something like this already exists behind closed doors for identifying vacant buildings because some insurance companies have gotten suspicionsly good at identifing them without inspection.
I don't know how familiar you are with AI/ML but the problems it has a chance of solving generally fall into 2 camps:
1. Supervised: Needs a ton of labeled data (if a building is actually vacant or not) to find complicated relationships (Most useful AI)
2. Unsupervised: The solution/correlation is so obvious that it almost always could have been done faster with basic statistics.
If this problem is in the Supervised camp, then my concern is where are we getting the labeled data as vacancy is quite closely guarded secret by owners (as far as I know?). If its in the unsupervised camp, then that's great for the short term (assuming banks are not already aware) but also means they will likely figure it out quickly.
Aside from concerns about relying on an AI silver bullet so heavily, I'm not trying to put down the idea as even if in the short term, it could be massively profitable. I'm personally betting on real estate in a similar way but with less risk tolerance (and less profit potential). Personally, I would be interested in helping build out this AI (assuming it's of the supervised type) but investing in something like this is too far outside my risk tolerance (at least from the information I have so far).
We've identified tons of input data that we can use to train a model based upon previous defaults using a supervised model. Definitely the hard part is finding a willing counterparty.