Wow, great article! I had no idea that Amazon had used this approach to create new content. Is interesting to see how a transformative trend (open innovation) did not work this time for Amazon.
Regarding your questions, I think that Amazon could have maintained the program and extract value. I think that if the process became more efficient, crow-sourcing could provide value to develop new ideas.
This is very interesting, thank you for sharing your previous work experience and your perspective.
I agree that 3D printing will play an important role in reducing poverty and it seems that the Rwandan Government is doing an amazing role in promotion science & technology in the country. However, I question if that is the role that a government should be playing. Is the Rwandan Government the appropriate institution to drive this innovation?
I do believe that the government plays a crucial role in attracting innovation and creating the right set of conditions for its development. But I believe that the innovation and implementation should be done privately. I think this directly relates to your second question.
Very interesting! I think your analysis highlights a broader problem across different industries: how should companies develop the skills to capture the value that new technologies offer? And to your question, I don’t see how in-house efforts will allow GE to accomplish this goal.
Large organizations, as GE, are bureaucratic, slow, and resilient to change. These characteristics are opposite to those that characterize the revolutionary trend of 3D printing. For that reason, I believe that M&A is the best way to take advantage of these new technologies.
Great job! Machine learning is transforming the energy industry, it is curious that it took this long to the sector to start leveraging the massive amount of data that they generate.
Regarding your question, I don’t think that AI is a core competency in oil & gas industry. However, with declining costs in other sources of energy (especially renewables), I believe that the oil & gas sector will need to find new ways to become more efficient, and AI can be a great source.
I think it is difficult to develop this capabilities with the current workforce though, I think that the sector will need to attract people with these skillsets and from that point start developing the knowledge in-house.
This is very interesting, thank you. I also believe that ML is transforming the energy industry, it is curious that it took this long to the sector to start leveraging the massive amount of data that they generate.
Regarding your first question, I believe that the role of engineers will definitely change. The way I see it, ML will facilitate data analytics and will allow engineers and experts to spend more time thinking, rather than doing a manual job. However, I don’t believe that ML will totally replace human capabilities. In the end, human criteria is important, especially in risk issues related to context or to other aspects that ML cannot capture.