I loved reading about an organization that is doing good and look forward to seeing how New Story scales. As you pointed out, New Story faces limitations related to land availability in urban locations. However, urban homelessness remains a huge problem. I assume 3D technology can only build two to three story homes, but I wonder whether it is possible to translate this technology into high rises. What would that look like?
While I agree there are definite benefits to scaling Nike’s 3D printing business, in the interim, Nike is well poised to take advantage of the capsule collection trend. In the fashion world, brands have historically released new collections every season, however, recently this has translated into consumer fatigue. Now many brands, such as Moncler, are releasing capsule collections on a frequent basis in order to create cachet and keep the consumer engaged. Nike, which finds itself in a similarly competitive space, could leverage its 3D printing business to implement a capsule collection strategy and differentiate itself from peers with longer lead times.
I found this article very relevant. We are back in school and had to leverage various academic resources in order to write our TOM Challenge. I’m curious whether there is any dissatisfaction with the current Integrated Library System (ILS) or Library Services Platform (LSP) used by our library. I think increased competition or the threat of increased competition, something that FOLIO creates, improves overall quality of service. This stands even if FOLIO does not ultimately succeed in the shifting landscape.
Bytedance’s success is really impressive. The first thing I thought about was potential privacy concerns. If apps are pre-downloaded on to smartphones, consumers do not necessarily have a choice in whether their browsing behaviors are tracked. I think that this is an important consideration in answering the question of whether Bytedance creates value or harm for society.
As Chris Chen pointed out in her article on Proven, the beauty industry is ripe for disruption. Both her article and this article talk about how beauty products have been mass produced without addressing individualized concerns. While Proven applies machine learning to understand product efficacy given the consumer’s unique complexion, Volition asks the consumer what she wants explicitly. This direct feedback will likely result in better products and further better products more quickly. However, and to your point, I worry about how to incentivize these innovators in the long-term. I think offering monetary incentives may be necessary, but this is not necessarily a bad thing. I imagine it would be more cost-effective than salaried employees.
I enjoyed reading this article, especially in the context of our Dove case. We talked about how “real” beauty is personal, not a one size fits all approach. Proven has capitalized on this trend by allowing its users to optimize for their specific skin type. I believe the recent focus on personalization within the beauty industry will continue. While some have expressed concerns around the lead time of building a large unbiased database, I see a long runway.