Unless I'm not seeing some other visualization of the data, I don't really see how correlating companies to physical locations helps a wh...
Unless I'm not seeing some other visualization of the data, I don't really see how correlating companies to physical locations helps a whole lot, and was not what I expected to be the goal when I started reading. The pain point that needs to be addressed is "too big to fail", but mapping to physical location does nothing to help that. A more conceptual map showing, for instance, the players in the mortgage space, their relative size, and how they generally interact would actually be a step towards solving the problem. Now how to gather information like THAT is a whole other question. As a concrete example: Most of the major home insurers have offices in Florida, but don't actually write policies. Who is actually writing these policies? If we have everything tracing back to a single policy writer, then we have a major problem.
Posted by jdmichal on Dec 15, 2014, 9:26 PM
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Raise real-world problems, find people facing the same issue, and discuss solutions.9,000 issues0 comments
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I hate that folks recommend random extensions.
NewThis is my biggest problem with agents, they constantly defensively code for cases that have no chance of happening and in most cases a p...
I wish there was something like LEAN for biology.
The issue is really the extreme difficulty of programming them, especially for anything sequential (rather than combinatorial).
I probably could have beared with it if it was only limited to programming, but it showing up in creative fields has made me feel all sor...
I hate that I'm in deep enough to know what you mean.
The biggest problem with “AI” is that big corps are shoving it down our throats.
in the middel of a coding session with 5.6 sol.
Unless I'm not seeing some other visualization of the data, I don't really see how correlating companies to physical locations helps a wh...
Unless I'm not seeing some other visualization of the data, I don't really see how correlating companies to physical locations helps a whole lot, and was not what I expected to be the goal when I started reading. The pain point that needs to be addressed is "too big to fail", but mapping to physical location does nothing to help that. A more conceptual map showing, for instance, the players in the mortgage space, their relative size, and how they generally interact would actually be a step towards solving the problem. Now how to gather information like THAT is a whole other question. As a concrete example: Most of the major home insurers have offices in Florida, but don't actually write policies. Who is actually writing these policies? If we have everything tracing back to a single policy writer, then we have a major problem.
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