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On November 15, 2018, Growth20 commented on Airbnb: Utilizing Machine Learning to Optimize Travel :

Thanks for sharing this perspective and this brings up a point we have been discussing a lot in class, particularly around how using technology as a tool for helping humans make better decisions, instead of blindly relying on the technology to make decisions for us. That’s why i think the focus on natural language processing is super important because making sure the right reviews show up on the screen relative to what consumers are focused on is incredibly important. The more you know what a customer values, the more you can be prepared to address his/her needs when the time comes to book a travel. As it relates to your ideation point, if you have user data on past experiences, machine learning can help you reach the customer at the ideation process given it will be able to suggest travel locations, experiences and listings that will likely be enjoyed by the user. Super interesting!

Thanks for sharing these insights, it was amazing to see that our Marines were empowered to 3D printed their mission critical items on location. I think to your question, the answer really lies on how do we empower them to do more? How do we get both the private sector and our government to enable and equip, on a best practices basis? In my mind, we need to open the lines of communication between our Marines and the private sector so they can transfer the knowledge of the issues they are facing on location when undergoing 3D printing, what are the paint point that the private sector could address? On the government side, are we providing the necessary funding and empowerment? These are all fascinating questions and I look forward to learning more.

On November 15, 2018, Growth20 commented on UNICEF: Open innovation to tackle humanitarian crises :

This is a very interesting concept and it shows how open innovation and partnerships need to be carefully managed! To your point, these are communities and people in need you are dealing with therefore you have to make sure your partners aren’t looking to do harm to your community of interest. To do this, its important to really be critical on the 1) what value/expertise are they bringing to the table? and 2) how will you measure positive impact? they will be helping in this partnership. In Facebook’s case, given its interconnectedness it was really able to add value in a way that didn’t require potential additional investment for them but they were able to get preventive action by their communities of interest. So when you think of partners and how they will support, think about their unique advantages and if they are Day 1 ready to help with the situation at hand, or if they need to experiment which is were you may potentially end up doing more harm than good. Great topic!

On November 15, 2018, Growth20 commented on Is machine learning the new wingman? :

I think its fascinating that you have written on this subject. For many people in our society, dating remains a very difficult task, particularly because its emotion driven and its really hard to quantify what are the factors that lead to someone feeling that “lighting” love and attraction emotion bolt that is caused by romantic attraction. To that end, I do feel machine learning is important here and if you can identify correlations between what attracts people, its should be fine for the algorithm to provide that. Getting the wrong partner could be a lifelong issue, so any help these machine learning-based logarithm can help you minimize Type 1 errors while still incurring some Type II errors is potentially fine if it helps speed things up for you and get you a better match to date and hopefully ultimately marry!

Thank you so much for sharing your expertise on this topic. In my opinion, your question regarding how these engine parts last in the “real world” under unforeseen difficult flying conditions is incredibly relevant – particularly given the scrutiny and safety around aircraft travel. We saw what happened with the Concorde, where recurring safety issues led to a discontinued aircraft. If I were GE, I would spend the time designing ways to test the performance of these 3D printed component/engines in multiple simulated flying environments and see how you perform versus regular manufacturing engines – is there an improvement or are there safety gaps? Incredibly interesting!

On November 15, 2018, Growth20 commented on Prellis Biologics: Manufacturing Life :

I was not aware of the possibilities of using 3D printing to increase the supply of key human organs for those who need it most. Given how supply has always been an issue in the organ donor market I think this is an incredible advancement for our society. As I think about your questions on how should 3D printers work with UNOS, I would look at how many people on the list are statistically unlikely to get a donated organ in time. Given these people are likely in a dire situation, they are possibly going to look at opting-in to participate in clinical trials of 3D printed organs because their life may depend on it. This becomes a win win because you are increasing supply and adding hope for people who necessarily did not have it before while helping advance our society’s biotechnology capabilities.