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On November 15, 2018, Cristian commented on Open Innovation at Tesla – Time for a Change? :

Thank you for writing this. Great read!
On the question that you posted regarding the potential impact that could patent earned via “closed innovations” on the stock price, I think that Tesla should pursue any mechanism that allows it to innovate faster than its peers. Especially because patents do not add significant barriers to entry that could dissuade the competition; in an industry with a high level of manufacturing complexity such as this, barriers of entry are not solely created by patents but by having the manufacturing facilities to produce the cars, which very few players in the world have.

Thank you for writing this. Great read!
Open innovation platforms allow companies to harness the creativity of thousands of minds to solve hard to crack questions. However, the crowd needs to have sufficient information to solve the problem at hand. My question is whether Amazon is revealing vital information to the masses and as a result revealing industry secrets that could empower competitors to gain an edge over them?

On November 15, 2018, Cristian commented on Printing the Future of Helicopters with Bell :

Fascinating read. Thank you!
I was particularly surprised by how specific laws and properties in physics that limit common manufacturing processes do not apply to additive technologies. Also, the implications that this type of techniques could have on the supply chain for industries that operate on remote areas are invaluable. For example, Oil & Gas companies commonly operate in relatively inaccessible regions of the emerging world where is challenging to re-stock the inventory of spare parts used by mission critical machinery. As a result, companies often incur in significant investments in inventory or, worst yet, cost overruns caused by machines that are unable to operate due to lack of replacement parts. Additive technologies such as the one used Bell Helicopter could help solve this situation.

This article was an excellent read. Thank you for sharing!
I have another inquiry related to your second open question. How can Chanel sustain its competitive advantage in a world where new and agile brands can simply 3D scan and 3D print Chanel’s design advances in a relatively short amount of time? I personally believe that additive manufacturing will continue to lower entry barriers to the beauty market and pave the way to more agile entrepeneurs to offer competitive products at materially lower prices to the market.

On November 15, 2018, Cristian commented on Machine Learning in the Fragmented Construction Industry :

Thank you for sharing!
One key aspect where ML can revolutionize the industry is on inventory management, both from the perspective of waste reduction to order budgeting.
First, ML could help manufacturers of construction materials and equipment to understand how construction employees are usin their products on the field. As a result, these companies coud use the lessons learned to design better products that reduce waste on the construction site.
Second, ML could learn from the construction habits of the employees and anticipate future orders of materials, thus vastly reducing the lead time of key materials and reducing potential bottlenecks in the operation.

Thank you for writing such a thought-provoking piece. Using ML to analyses employee feedback was a surprising use of the technology.
I think that the most controversial application is the possibility to scan the employee emails to look for early signals of employee discontent to implement preventive retention measures. However, this practice may fall into a grey area where employee privacy may be sacrificed at the expense of enhanced company surveillance.

This last implication may raise an additional objection to the three challenges that you highlighted towards the end of the article: what boundaries should ML technology implement when analyzing passively collected (potentially unauthorized) employee generated texts such as emails and messenger chats to protect employee privacy?