Super interesting article! The author does a great job in describing the attributes and limitations of the current 3D printing technology in Bell’s production process. It really made me think about how 3D printing allows you to prototype quickly many different parts of a helicopter, but personally I hadn’t though about the limitations of scale. Additive manufacturing technology needs to catch up in order to meet the issue of scale and mass production, and I think this is where this technology is headed.
Interesting article. To one of the questions stated, it seems that if Siemens wants to stay ahead of the game in the long run, providing small enterprises with the access to the Additive Manufacturing network will create a lot of value for them in the future if this trend indeed sticks around. There shouldn’t be an obligation for multinationals to offer the smaller players an “in” into the industry, but Siemens could benefit from partnerships and potentially “outsource” some innovations to the smaller players and participate in the share of success.
What an amazing article. Its great to see how the power of technology is giving an avenue for the average citizen to raise their concerns and help shape the decisions in their countries that will ultimately affect the way they live. I believe however, that challenges may arise if we give people, that don’t necessarily have the credentials or expertise, the power to make decisions. This tool should be used only as a feedback source but with limits to the actual decision making should remain at the government level.
This article was great. I enjoyed reading on how Pepsico has used crowdsourcing to develop new flavors on their portfolio of products. I agree with the author that more of an actual product innovation tool, this crowdsourcing effort has been a marketing stunt in order to get consumers talking about the brand. I believe the use of corwdsourcing for such a commoditie has some limitations as it is hard for the company too test the success of the developed product in an effective way. It requires a lot of resources to produce such a product and such product might not be representative of what the market as a whole wants.
This article presents a great way of how Coca Cola has benefited from machine learning in several aspects of the business, from product development to shelf layout at retail stores. It is clear how the development of the Cherry Sprite was the result of carefully analyzing consumer patterns at fountain dispensaries, however the author goes as far as to say that machine learning could potentially help Coca Cola create new and innovative brands. It is not clear to me how they could develop new brands using the current information available as I believe the value of the information collected at fountain dispensaries has limited value.
This article clearly presents how a company using machine learning is impacting the way they operate and how they think about the future of their business. It is clear that weather has historically affected many humans behaviors and we are only beginning to realize that weather may have more implications that we originally thought apparent. The article mentions that cleaning meteorological data is becoming increasingly complex, so I believe there is a huge risk that the machine learning algorithm AccuWeather is using will start making mistaken relationships between the data. I would argue that there should be an increased focus on making sure the weather data that is fed into the AI is well understood and clean, before trying to advent into new business channels.