This is a great read, and a very informative introduction to StoryCorps. Preserving humanity’s stories seems like a perfect application of crowdsourcing given how disperse the data set is that StoryCorps is trying to collect. Driving engagement through rewards at TED talks not only is less costly than developing in house but also brings in engaged users who are more likely to connect with StoryCorps going forward. The balance between the interviewer and the interviewee is an interesting one, and I think StoryCorps can achieve this balance going forward by thinking of the interviewees as their “customer” and maintaining a customer-centric model. The interviewees are the individuals who hold the stories and StoryCorps should hold them in high regard as it continues to innovate and grow.
This is really well written and an informative view on additive manufacturing. It’s interesting how a small startup like Fast Radius can partner with an established behemoth like UPS to deliver 3-D printing to the masses. I too am concerned about the ability to scale 3-D printing from a prototype development tool to a full scale manufacturing. Perhaps Fast Radius could explore a partnership with an established manufacturer with expertise in designing efficient large scale manufacturing processes. The company has already shown the ability to effectively partner with a large global partner, perhaps doing so again could help them expand further.
Great post and a really interesting view on Open Innovation. I appreciate the view of how a traditional company like Nestle can utilize open innovation to supplement their in-house R&D in their product development, especially in the food and beverage industry where customer preference play such acritical role. I agree with you that Nestle needs to be more pro-active in their outreach. Competitors such as General Mills and Kraft are acquiring small, innovative startups to drive growth but Nestle could do this in a much more cost effective manner by increasing some sort of marketing spend to increase the awareness of their Open Innovation programs.
Really great post and an incredible read! It is amazing to read about how New Story is able to reduce the cost of home creation to a fraction of the normal cost due to additive manufacturing. Especially with the rise of inadequate housing as a global academic. To address land access issues, maybe New Story could invest in architecture studies or research and development that could design new denser multi-family housing for more land constrained areas.
Really interesting article and well written! Highlighting how Duolingo is able to identify which words in a given language are harder or easier to remember is a key impact of machine learning on the company. One question I have is how Duolingo can expand the amount of data they are incorporating into their machine learning algorithms. One of the limitations of machine learning across the board is the access to quality information in representative quantities, and I wonder how Duolingo can continue to address this issue.
Thank you for sharing the views on machine learning in Spotify. I really enjoyed the article. I found it very interesting how Spotify is able utilize machine learning to differentiate their offerings in the Discover Weekly playlist. I hadn’t heard of the gender bias in Spotify’s results until reading this article. I wonder if this highlights an area where human supervision is necessary to oversee all areas of machine learning.