Joffrey Baratheon's Profile
I really like the approach the government is taking to tackling such an important issue in our society. The opioid crisis is one that is affecting so many people in the United States and threatens to destabilize our country. The more hands on this issue we can have the better and bringing in different perspectives should lead to novel solutions. However, I share the same concern that many people have brought up in that I’m not sure that a hack-a-thon will necessarily bring the most long term solution to the problem, as the issue is extremely complex and adoption of an idea would take significant investment and time.
This is a really interesting application of 3D printing. It makes a lot of sense to have the capabilities to produce supplies in remote areas with infrequent resupplies. It certainly helps that the military has essentially an unlimited budget. To answer one of your questions, I would think that the tolerance for reliability would be low across the military and could potentially limit the adoption of the technology on a broad scale across the military.
Thanks for the article! Additive manufacturing seems to be a great fit for GE’s aviation division. However, they have had significant difficulties upfront and mixed results thus far. GE is fairly decentralized by division from my understanding. I wonder if they will be able to use this technology across their other divisions or if they will be able to get the full buy in from other divisions given the difficulties the aviation division faced and the overall struggles GE has been facing recently. My guess is that this will be a hard sell for management to get other divisions to implement additive manufacturing.
Great read. I actually almost wrote on the Benfica as well. I think what they are doing is fascinating and will become the standard across professional sports as teams become increasingly sophisticated with their training and data analytics. I also was confused why this technology isn’t used in their home stadium. As far as generalizing the data and creating a larger data set, my thought was they could try to partner with other clubs in different countries to share data through Azure on an anonymous basis.
The sheer amount of data Alibaba is able to compile on its customers through all of the channels you laid out is astounding. Machine learning and pattern recognition seems like an excellent tool for them and clearly they are investing heavily in this area to capitalize on that data. As you have suggested, they also can benefit from replicating the applications many of their American counterparts (ie Amazon, Stitchfix, etc) have already tested but with their expertise on the Chinese market and consumer. I’m very bullish on the company and think they have a unique position in the market and can use machine learning to really create a strong moat around the business.