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On November 15, 2018, eagerbeaver20 commented on Shooting for the Stars :

I think creating a good platform for open innovation could actually help NASA sift through the ideas. If you open up the evaluation process to be open source, similar to companies like product hunt or reddit, it could allow employees do the initial evaluation. This will also have the added benefit of increasing the quality and quantity of ideas generated, as well as increase engagement and employee satisfaction.

On November 15, 2018, eagerbeaver20 commented on Machine Learning for Recruiting at Amazon – Challenges and Opportunities :

I agree that this is a huge issue. It underscores the fact that a ML model is only as good as its training data! I think this issue can be solved by creating new metrics by which to grade people. As far as how we can evaluate machine bias, Amazon could create models that evaluate their models (kind of meta, I know), or use humans to evaluate the predictive models.

On November 15, 2018, eagerbeaver20 commented on DoorDash and Machine Learning :

This is a problem with many companies in the tech space. Robots will replace the jobs of dashers in the future, it’s only a matter of time. Is it really DoorDash’s place to solve this issue? DoorDash could provide resources to their employees to allow them to be successful once they move on from the company, but I don’t think they should feel responsible for doing so. If they want to help these employees stay with the company, it is possible that they create new lines of business that can employee these Dashers in other capacities.

On November 15, 2018, eagerbeaver20 commented on Crowd-sourcing the Secret of Life: 23andMe and Open Innovation :

You pose a very tough question. In today’s day and age, we need to trust private companies to handle our data security. When it comes to DNA, there is an even greater risk than other personal data. If companies like 23andMe allow us to create anonymized accounts, it will certainly help, but as these platform grows, these companies can be an even greater target. As the platform grows, data will become more aggregated and anonymized, but the early adopters need to trust the companies using their data.

On November 15, 2018, eagerbeaver20 commented on Adidas Futurecraft 4D: One shoe to rule them all? :

My hypothesis is that as the 3D printing hardware evolves, so will the materials that are used to print shoes. I think the new materials could even be more durable than those of today. New techniques can be developed to “weave” a shoe vs glue pieces of a shoe together. I also wonder whether 3D printing could be used to repair shoes as well. As far as the demand, I think the mass market appeal of 3D printed shoes will be from customization and style, not performance. Given that Nike and UA are also investing in this area, Adidas needs to continue investing in technology to be competitive.

On November 15, 2018, eagerbeaver20 commented on The Future at Nike: 3D printing customized shoes at home :

I found the opening quote by the COO very fascinating, but I am very skeptical. I don’t see people able to 3D print in their homes for a number of reasons (piracy, no economies of scale, technology not that entrenched), but I could see you walking into a Nike store and printing a shoe that is customized to your foot and your preferences. I believe shoes are much more well-suited to 3D printing than sports equipment because the material properties matter a bit less, there have higher margins, and they are better suited to customization.

Additionally, it is interesting to consider how 3D printing of shoes will impact Nike’s supply chain. Will they have enough capacity to print shoes in a store? Will there be produced and shipped to you? Will they want to scan your foot for a customized fit, and if so, how can you do this from your home?