Great post! This is a great segway from the MKT case we had on Amazon. Your article certainly puts Amazon as one of the key players in the fashion industry, and I found it particularly interesting how you highlighted Amazon’s development of 40+ private labels. I’m wondering if algorithims or ML can be used to identify which trends before they become mainstream? Much research has been done on how trends from previous eras repeat themselves in modern day. Could Amazon identify such trends, and if so, could it develop it as a competitive advantage vs other non-tech fashion firms? Thank you for such a thoughtful post.
What a fun read! Love the idea of using ML to prevent people with nefarious intent from causing harm on social media platforms. It made me think of other applications: identifying bullying, individuals with mental health issues, possible intent to cause harm to ones-self or others. To what extent should social media companies be responsible for preventing the aforementioned issues that occur on its site? Is it their ethical duty to do so? Just some questions that came to mind. Thank you for your thoughtfulness.
This was amazing! It seems to be a proactive idea to encourage hackers, under the right terms, to identify weak spots. I’m wondering, however, if this has secondary effects. For example, what if a hacker who hacks the DoD is compensated more by an adversary to the United States? How can we ensure that white-hat hackers who get familiar with the DoD’s security system don’t become threats if compensated by non-US targets?
What a fantastic (and relevant) post. Some thoughts:
– Do you see this being a tool for more moderate/centrist individuals? As you mentioned, the more ideological individuals are probably not looking to engage in civilized, rational discussion through online platforms. Should Kialo be concerned?
– Should this be a niche product or should they seek a mass-user platform? Connecting with sites like FB, as you mentioned, will bring more people into the discussion. Is that a good thing?
– How can this be replicated in human to human interactions? People behave drastically different and are often more open minded when in front of someone.
Reading this I immediately thought: this seems like such an obvious, practical thing to do. It helps all stakeholders, reduces costs, and increases efficiency for all parties. Not to mention it’ll probably save lives. I’m curious to know why it hasn’t happened? Is this something that can be achieved in the next 5 years? If not, why? Great blog, Corey.
Wow! Had no idea this existed. I’d be interested in knowing what you think the cons of this crowdsourcing approach are. It seems that some of the value-add of this model is the mystery/intrigue that comes behind not knowing where, or what type of film will be featured. The customers being served seem to be more of a niche market (highly interested in film/experience), and I wonder if crowdsourcing the selection of films might make this a more conventional experience and discourage the current target market to attend?