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Nice piece. It was interesting reading about a pharma company doing open innovation. As mentioned, I can clearly see the challenges to implement open innovation: IP, confidentiality and regulation. I also wonder if, similar to another piece about NASA, scientist in this industry that are super specialized, would feel threatened or undervalue by the implementation of such initiatives.

I think that Lego success is linked to 1) licensed products that need little creative input i.e. Harry Potter products and 2) internal creativity. I think the traditional innovation model limits the company’s ability to reach more creative ideas and subsequently lower its ability to compete. I think open innovation could definitely boost the creativity of the R&D process, delivering products that are more aligned to what the market is requesting. Also, I think opening the innovation process would engage users with the brand by giving a voice to the user, this is highly valuable in the digital era.

On November 14, 2018, RLT commented on Safilo: 20/20 Vision, Or In Need of Better Sight? :

I truly enjoyed reading your post. I think you raise interesting questions about how companies can jump into new technologies that might not be the best fit for them. In this case, I think it is difficult to imagine how this brand can place products manufactured through this technology as a luxury product. To your question, I think it would definitely dilute the luxury perception of the brand. Usually, the consumers of luxury products like sunglasses or watches value craftsmanship and exotic materials.

On November 14, 2018, RLT commented on Boeing: “Adding” to the Manufacturing Process :

Cool article! I can definitely see the benefits for Boeing on implementing AM. I think a major challenge is convincing the regulatory bodies about the reliability of the components manufactured with AM. Specially in this highly-regulated industry. I thin Boeing and other OEMs should start working with local governments and regulators to certify AM components. Maybe one way they could start doing this is by introducing such components on military aircrafts/applications, since Boeing and its rivals work on several projects with the army/government.

Very interesting piece. First, it is clearly a problem that requires the application of ML, I was impressed by your figures of how much time would take a worker to process the data. Definitely, the world cannot wait that long. Second, I really appreciate the fact of how you connected you article to another mega trend: open innovation. Seems like NOAA could also benefit greatly from this cheaper and faster model to innovate.

On November 14, 2018, RLT commented on Can Machine Learning Save Us From Being Stuck in Traffic? :

Great Article. This post is definitely something I can relate to. Citizens of Mexico City can spend on average more than 3 hour commuting to work. This is a great application of Machine Learning to improve the quality of life of millions around the world. I get the impression that this solution could become mainstream in the short term while we wait for autonomous vehicles. However, as you mention, companies implementing this type of technologies need to be careful on how they scale. One accident could putt the technology at the scrutiny of the public, causing mayor drawbacks to scale.