Awesome article! It is cool to hear about innovating the process of innovation! Perhaps this is unfounded, but my main concern is trying to sort through the quantity of ideas. Is there an upper limit on the number of ideas that IDEO is willing to solicit? When does the width of the idea distribution curve become too wide and how do you choose who is able to contribute and who is not?
Awesome article! You know what would be cool? If the company used the crowd sourcing data coupled with the demand data to forecast future demand for the offline retailers! They could potentially capitalize off of two mega trends at the same time. What a dream!
Nice article! I agree that we need to find some source of innovation at the front line and develop a way to move the ball forward more rapidly. My concern with innovation AND implementation at the front line is a lack of technical knowledge and a lack of a sterile test environment. I think a good idea would be to create a mechanism for front line operators/maintenance folks to submit ideas for innovation that could be tested and implemented across all similar platforms. Perhaps there could be an incentive system that encouraged individual (and their units) to contribute ideas.
Awesome read! This trend in aviation is so intriguing and I’m very curious how the material science works. With narrow over design margins in aerospace (as opposed to automotive) due to weight, additive manufacturing seems like it would be perfect for the industry as you may be able to add strength/redundancy without adding weight. However, the raw materials that can be used in “3D printing” are limited therefore the components eligible to be printed are limited as well. Hopefully through driving innovation in the parts that can be printed, GE will also drive innovation in the process of additive manufacturing itself!
Awesome paper! I am curious where the data for the predictive maintenance comes from. As new windmills are developed with different technology, how long does it take for there to be enough data for the algorithm to provide value? Furthermore, since NextEra is collecting large amounts of windmill performance data (that few others are collecting), could a special relationship be developed with a windmill manufacturer in which the data is shared with an engineering team to optimize new windmill design? If so, perhaps this relationship could be contractually protected thus providing NextEra with another edge!
Thanks, Talitha! The idea of social responsibility and consumer privacy protection are paramount in this discussion, and I think the two can be related. Specifically, I believe that consumers are less averse to being monitored when they believe that they are serving a greater cause. This is especially true with the millennial generation, who want their companies to stand for more than profit. By using the data to do more than orchestrate a pricing model, AXA has the potential to achieve their profitability desires, save human life, and earn customer loyalty!