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Incredibly informative read! I enjoyed learning about UA’s advancements in 3D printing and differentiation, particularly after just reading about Nike. I see price and incorporating consumer feedback as two big levers that UA should be thinking about. The sustainability of an advancement like this will be a key driver of how successful this product will be in the coming years. In the short-term, I see the huge value of UA being able to drive up its brand image in the market as a disruptor and possibly an opening for them to tie in some of the other product development accelerators we have been discussing, such as open innovation. As they seek to improve their 3D printed shoes, greater involvement from their consumer base could amplify the buzz around this groundbreaking innovation.

On November 15, 2018, Slater commented on Broad use of Machine Learning at Ford :

Excellent read about Ford’s GDI&A team! I would lean towards partnering given the immediate benefits that Ford can reap from such a relationship. With the complexity required to make sense of so much data and ensure that it isn’t littering with biases that lead to skewed conclusions, I believe tech companies would be much better suited to take on this role.

Wonderful read, I really enjoyed reading about the blend of machine learning and space, the final frontier! I agree that this is an opportunity to maximize technological advances and lean on their firepower while optimizing the human resources deployed to operate them. I also like your tie-in about open innovation and the value it could add in this context. I do think there are interdisciplinary fields and sets of expertise that could be utilized here to make sense of the data results. I also imagine it to be an opportunity for government agencies to work more closely and share their learnings with each other with the wealth of data being collected. It seems that the general trend has been towards decreasing the number of silos, but NASA has always felt as though as it’s been in a league of its own. Maybe its machine learning capabilities can help change some of that.

Awesome topic to learn more about! I completely agree with your concerns about the safety of these rapidly constructed homes and need for lawmakers to consider what metrics will be evaluated to measure stability of these 3D printed homes, especially over the long-term. Given the space constraints, I think this usually drives developers to start thinking vertically instead of standalone homes. However, I believe your concerns would amplify if 3D high-rise apartment buildings were the next product that New Story tried to tackle. Slow, sustained growth with a heavy emphasis on safety would be my recommendation going forward. While the company is seeking to do good as quickly as possible, there would be very detrimental repercussions to these homes deteriorating within 5 years-time, leaving the vulnerable populations that New Story has sought to help without a permanent option.

This was a fascinating read! I agree with you about the need to embed this in the day-to-day culture to come up with implementable, long-term solutions. Crowdsourcing is an excellent way to tease out interdisciplinary ideas and skillsets, but I think HHS could find a way to bring more structured, continuous problem solving to it. Even having a team stick around to pilot an idea, see what works and doesn’t, apply some kaizen principles, and iterate for an improved version could go a long way. Incorporating opioid-addicted patients (willing to participate) into the process improvement stage could be valuable as well. Coders might think they have a solid grasp of the problem, but with limited knowledge about the sobering realities of the factors surrounding this health crisis, they may attach overly simplifying assumptions to their solutions.

On November 15, 2018, Slater commented on StoryCorps: Crowdsourcing to Preserve Humanity’s Stories :

I really enjoyed learning about StoryCorps and their vision for crowdsourcing an archived record of human storytelling. This is a thoughtful, reflective way to digitally save the messages and memories of people that hopefully will be juxtaposed with other digital footprints we leave behind such as Facebook. StoryCorps seems to cut through the clutter in a way that social media, which one could argue will also be an archived source of historical record, cannot.

I agree with Student291’s about the opportunity that StoryCorps has to elevate the voices of those who have been marginalized. History has often been written by the victors and tech/crowdsourcing appears to be the democratized solution to that. Of course, it will be essential that these marginalized voices are preserved and we as a society continue to view them as valuable additions to the historical record we leave behind.