I found this article super interesting in light of the FRC Alibaba case! I realize there should be a LEAD and MKT case for Alibaba as well. I think it’s really cool how Alibaba used open innovation to generate a bunch of free / “earned” marketing from their consumers. Given how widespread mobile technology is and how widely used apps like Wechat and Weibo are in China, Chinese consumers are the perfect population to pilot innovative open innovation strategies. One thing I’m curious about is the differences around privacy and online consumer trust/behaviors between China and the rest of the world. China has different laws around privacy and I’m interested to hear your thoughts on whether the things Alibaba tries in terms of Open Innovation would be effective in the U.S. and EU countries.
Thanks for writing this article! I used to do development work in rural China training village doctors, and the issues raised in this blog post rings close to heart. While additive manufacturing is innovative in context of printing drugs, I don’t think the best use case will be in China’s rural hospitals. Patients in developing countries are dealing with more fundamental issues around misdiagnosis of disease (e.g. improper response procedures for infectious illnesses like tuberculosis) and the over-prescription of antibiotics, which is leading to anti-microbial resistance in rural communities. I view giving access to this kind of technology at the rural-healthcare-level in China as dangerous, unless the more fundamental issues around culture and training is solved.
Super interesting article about Boeing! I’d be curious to see how some of these learnings and investments in additive manufacturing shows up on your financial statements (hello, program accounting!). I’d be interested to learn how they adapt compliance standards around safety with their quality control and innovation practices. Also, I’ve only worked with 3D printing in the context of plastic resin (basically the ink for 3D printers). I’d be interested to learn how Boeing develops the resins needed to design certain parts of their aircraft.
Having worked in the trust and security space at a cloud-computing firm, the issues you’ve raised in this article are top of mind for tech companies who host content. AI/ML have supported content safety in being more efficient in reviewing video and image hexes, but there is still a ton of sensitive content that require human judgment and human review. One thing to consider is the role sound plays in assessing the appropriateness of the material. There is a national movement around technology companies working together to report child pornography to federal agencies, and a key part of identifying some of those materials is by listening to what’s being conveyed in the videos. These hexes get stored in a shared database that AI/ML algorithms can scan and run matches against, but unfortunately, changing the video slightly (adding a filter or shortening it) can change the hex, making it difficult to catch re-uploaded content.
I’m so glad you wrote an article about your startup! I had so many questions when we first discussed it in person, and this article did a nice job covering the key value propositions. I’d be curious to learn how cities with traditional dispatch services manages quality control. I remember when I used a dispatch service for taxis, the dispatcher would often send my taxi to the wrong address, leading to long wait times and inefficiencies on the taxi company’s end. I could imagine the same happening with the ambulance/EMT services (with human lives at stake) and Ambulnz’s technology can help reduce that risk. Has there been any issues with the users not understanding Ambulnz’s interface and mistakenly putting the wrong address/information, or does the geolocation aspect of the app control for that?
This is a super interesting article- thank you for sharing! As we’ve learned from many of our cases, the pharmaceutical industry cares a lot about intellectual property and the length of their patents. I’d be curious to learn how IP rights work when the innovation is being open-sourced and crowd-sourced. What happens if the French coder who won the Pfizer competition wants to keep their work product free and available to the public. While there is a ton of healthcare data available and a ton of opportunities in the open innovation space for using healthcare data more effectively, I’m also concerned about the various legal constraints like HIPAA compliance standards that might restrict use, storage, and publication of data.