Count of Monte Cristo

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XPO Logistics (XPO): Attempting to Bring the Truckload and Less-than-Truckload (LTL) Industries into the Twenty-First Century
Count of Monte Cristo
Posted on November 13, 2018 at 1:47 am
In stark contrast to the airline and auto industries, the trucking industry continues to remain stuck in a time warp. Will XPO Logistics (XPO) – a leading provider of LTL services - be able to successfully harness machine learning and [...]

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On November 15, 2018, Count of Monte Cristo commented on Solidifying the impact of open data innovation in the government – NYC311 :

Thank you for sharing this information. I’m actually curious if we can take this one step further. In other words, once an individual is able to successfully utilize the data to come up with a solution, can private companies then go ahead and implement that solution? The way I see this is that if individuals are able to use the data to find patterns and trends, but the government refuses to act on it, people could quickly become disillusioned and the whole process could go to waste. Curious to hear your thoughts?

On November 15, 2018, Count of Monte Cristo commented on Challenge.Gov – A Model for Government Crowdsourcing :

Wow this is really fascinating. Out of curiosity, are there are regulations and laws to prevent companies that might get a financial or political benefit from this from biasing the results? Having said that, I think this could be a great way for the federal government to come up with ideas to ensure that we are correctly targeting the beneficiaries of federal programs as well as cut down waste and fraud.

One more question, are federal employees trained well enough to be able to pick good ideas from bad ones? Do they have the resources to make the right decisions?

User deleted this comment on November 16, 2018
On November 15, 2018, Count of Monte Cristo commented on Challenge.Gov – A Model for Government Crowdsourcing :

Wow this is really fascinating. Out of curiosity, are there are regulations and laws to prevent companies that might get a financial or political benefit from this from biasing the results? Having said that, I think this could be a great way for the federal government to come up with ideas to ensure that we are correctly targeting the beneficiaries of federal programs as well as cut down waste and fraud.

On November 15, 2018, Count of Monte Cristo commented on Boeing: Additive Manufacturing Adding Enough? :

Hey – while I compeletely agree that Boeing is probably not harnessing all the cost savings that it could potentially make; as somebody who is terrified of flying, I would love to see some more data around how safe it is to use 3D printed parts in planes first. Do we know if 3D printed parts are as sturdy given that they are built by layering on one layer after the other. How do we know the layers won’t break apart midair?

On November 15, 2018, Count of Monte Cristo commented on Dear Adidas, you’ve mastered limited releases…what’s next? :

This is really interesting. If I understand your article correctly, Adidas could actually allow its customers to watch as their customized shoe is being 3D printed in front of them. If that is the case, I think it could really prove to be a differentiator for them from Nike in terms of the customer experience in the store. Should create quite a wave of media interest as well.

On November 15, 2018, Count of Monte Cristo commented on The AI Doctor will see you now – Machine learning transforming healthcare :

This is a really interesting read, thank you. I’m curious what happens though when the AI doctor gets a diagnosis wrong potentially leading to a fatal mistake. Where does the responsibility lie and who gets sued, etc?

On November 14, 2018, Count of Monte Cristo commented on Sephora and Artificial Intelligence: What does the future of beauty look like? :

This is a really interesting essay, LG. As a man who has never used make-up, I’m curious to learn about how comfortable women are with the idea of buying make-up (for example foundation) without actually trying it on first. Additionally, I would also be interested in looking at data to see the percentage of women that are satisfied with a specific foundation type that was recommended to them by AI. I’m also curious to understand how Sephora is using AI keep track of its customers when they are inside their stores (which is much more difficult) than when they are shopping online.