This is a wonderful article on the use of open innovation in Media! I do believe that the use of open source innovation in media creation is one of the best uses of this form of innovation. This is because content is driven by personal taste and a lot of preference is guided by the movie watchers. It is important both from the economic as well as the production perspective to make the process of selection of content production more efficient. I do believe that while this did not work for amazon, it will work and is working for other companies such as Netflix and Youtube (Premium). The thought of retaining this as a marketing tool would have been a great idea to engage with potential customer, but I would see the same in the light of the cost benefit analysis.
The discussion on open innovation in the beauty industry is so interesting! I am so intrigued to learn more about how the information collected actually feeds in to making the product and services of the company better. It is a brilliant example of how the consumers can be empowered to help the company identify the actual useful products they might need. I am however skeptical about the reliability of these ideas generated and the degree of control the company has on what is posted on these sourcing platforms. The can also be a source of a lot of immaterial information and noise that would need extra energy to sift through. What is the way to make this a more efficient process?
It is such an interesting article! I love to see the creativity that P&G has applied in its shaving products! While I think it is a brilliant idea to use 3D printing technology to push for more creative innovations, I am also a little skeptical about whether there is any need for such innovation. Is there any material impact on the sales of these razors because of this innovation? Is it to create differentiation, help with marketing or help drive the prices? It is important to understand the economic viability and lends to your second question on whether P&G really needs to do this.
This is such an interesting application of the 3D printing technology. I am also super curious as to how far we can extend these applications in construction of larger structures. There is a problem in how you would use this technology with precision. The question that comes to my head is whether 3D printing will go beyond the prototype stage and replace construction materials. How would this affect the labour requirements and their capabilities? What raw materials are required and can they be made affordable and hence accessible to wider variety of companies? I shall continue to search and read more on this topic.
Travel is a very personal experience and as an avid traveler, I often find it a problem to find a website that can use the limited data they collect for me to give me the right and fair priced recommendations. I think machine learning innovations work when they have multiple data sets to pull from and have the ability to analyse this data to give the most relevant results. How is JetBlue trying to solve for this problem? What are the data sources that they are relying on apart from the historical travel and the preferences they ask the customer in short forms? What is the personalisation actually driven by? There is also the question of tying in the actual budget constraints with the preferences. How does machine learning solve for this?
Great post! It is intriguing to see how machine learning can help solve a life threatening problem and actually ensure better decision making and control over the aircraft. I am more intrigued to find out how the number of accidents can be foretold using the data that is collected using the machine learning algorithm. Since this is a use case where even one mistake could mean loss of life, the accuracy of the tool is paramount. How d we ensure that is accuracy is achieved?