This is an awesome read, especially in our current global political climate fraught with corruption scandals. I love that they open-sourced their coding efforts as there are plenty of highly qualified computer scientists and engineers around who are willing to devote their spare time for a greater cause. While a noble effort, I wonder how actionable would their findings and recommendations be. Since data input is an issue, where if the government is not cooperative enough to provide an API which is friendly to pull data from, perhaps they could further expand to have crowd-sourced information on politicians. However, this could introduce further layers of complexity on verifying these crowd-sourced information. I think Rosie’s application could be broader to provide other forms of information on the politicians, such as ‘donations’ for their political campaign. This could allow for increased transparency on political candidates, possibly stemming corruption even before they gain power.
Thank you for this insightful piece. It is interesting to read how PepsiCo is taking on the challenge that the world’s food and beverage tastes are shifting at such a fast pace. By crowd-sourcing their flavors, I wonder how much internal screening effort these ideas would need to go through to offer the new flavor to their customers. Even so, how translatable would a flavor be from one region/country? One potential solution is to have a localized flavor, but this could risk an huge inflation in product offering globally – would they then lose their benefits of scale? Perhaps localized tastes would be best to be left to smaller companies to take up and capitalize on.
Thank you for this insightful essay. It is interesting to not only see that Siemens is adopting Additive Manufacturing internally, but have decided to take a step beyond that by creating a Additive Manufacturing network, to allow others to tap into this new industrial age. While multinational companies are not obliged to share in the space of Additive Manufacturing, I believe that by creating the Additive Manufacturing Network, they are poised to take charge on the direction AM is headed towards, especially for the industries they are involved in. In doing so they would enhance their supply chain, which could result in much faster product deployment in the future. A recent example of how Siemens is reaping this benefit was discussed by Forbes: https://www.forbes.com/sites/alexknapp/2018/09/06/bringing-additive-manufacturing-to-the-rails/#7d7317d941d4
Thank you for this great essay on UnderArmour. I agree with your concern that UA needs to take fitness to the next level, and by focusing on incremental changes they could drop the ball on their retail performance which could hurt their ability to innovate further. While I agree that they should move in the direction to leverage the digital age, I am concerned that Nike will get there first, since they have a much larger company with a strong innovation culture. Nike’s recent article on Medium (https://medium.com/nikeengineering/serving-athletes-with-personalized-workout-recommendations-285491eabc3d) shows that they may be ahead of the UA, albeit currently geared towards athletes – though one could also foresee an easy transition of the technology to regular customers.
Thank you for this insightful piece about 3D printing for the cosmetics industry. I believe now that Chanel has launched their first 3D-printed product, their development cycle for future printed products should be quicker. This is because of the major advancements in 3D-printing technology (https://www.autodesk.com/redshift/history-of-3d-printing/) especially in recent times which now allow for more cost-effective methods to manufacture these products. Also, now that this product is out in the market, management may be less hesitant to develop more 3D-printed products, since they can use this as one of their ‘success’ product and improve from the learnings they gained through this mascara wand development and production.
Thank you for this great essay on how NFL is leveraging big data and machine learning. For the fans, machine learning could be taken to another level where game stats data can be customised for each fan as different groups of fans may be more interested in one aspect of the game compared to another. I agree that for more adoption of big data and machine learning in NFL, the coaches will need to buy in and use the information to further improve their team’s performance. Perhaps a comparable sport could be cycling, where the cycling teams are using the data gathered from their cyclists to improve either equipment design or team strategy. In addition, cycling has also leveraged the digital age to provide real-time statistics to further engage their fans: https://www.welovecycling.com/wide/2017/08/07/internet-things-machine-learning-changed-le-tour/