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This is very interesting! Your write-up really resonate with me. I understood what is going on behind Alibaba’s open innovation. Because innovations tend to be produced by outsiders and founders in startups, rather than existing organizations, the central idea behind open innovation is that, in a world of widely distributed knowledge, companies cannot afford to rely entirely on their own research, but should instead buy or license processes or inventions (i.e. patents) from other companies. However, open innovation has such many benefits as reduced cost of conducting research and development, potential for improvement in development productivity and incorporation of customers early in the development process. Your article implied all of them mentioned above.
Wonderful Article!
As described in the link below, the shoe manufacturing process involves a lot of manual work.
https://sneakerfactory.net/sneakers/2018/01/how-does-a-factory-make-shoes/3D printing technology has the potential to change the process drastically. Moreover, sneakers can be more technology oriented if manufacturers apply 3D printing in their manufacturing process. I really wish to know more about the progress in this area in the future!
Wonderful Article!
As described in the link below, the shoe manufacturing process involves a lot of manual work.
https://sneakerfactory.net/sneakers/2018/01/how-does-a-factory-make-shoes/3D printing technology has the potential to change the process drastically. Moreover, sneakers can be more technology oriented if manufacturers apply 3D printing in their manufacturing process. I really wish to know more about the progress in this area in the future!
Wonderful Article!
As described in the link below, the shoe manufacturing process involves a lot of manual work.
https://sneakerfactory.net/sneakers/2018/01/how-does-a-factory-make-shoes/3D printing technology has the potential to change the process drastically. Moreover, sneakers can be more technology oriented if manufacturers apply 3D printing in their manufacturing process. I really wish to know more about the progress in this area in the future!
Great article! I agree that applying machine learning to F&B industry has a big potential. I would like to reflect the following points.
– Behavior patterns of Starbucks customer will be of good quality, because of the broad network of Starbucks.
– Can Starbucks leverage customers’ online behavior through the WIFI network that it offers in store?
– In China, how much can Starbucks freely acquire customer data and use it for global operation, from the government’s regulation perspective?I shall order Snowy Cheese Latte with a strawberry on top next time at Starbucks in China.
Great essay! I am curious about the shoe recognition tool. Also, Disney++ will definitely be a game changer for the Disney’s businesses.
Especially, I like your thoughts on connecting online and offline through Disney++ (Disney is setting itself up well for the future with its advanced analytics, and it still has opportunity to get more out of machine learning. Disney should offer customers cross-portfolio targeting between content and experiences. For example, if a family loves Star Wars on Disney+, Disney could provide catered packages to its new Star Wars-themed additions to Disneyland and WDW.).
Great story! I am from the country that does not have a lot of natural resources. Our country spends a huge amount of money to import oil and other natural resources. That makes it vital for our country to buy stakes in foreign natural resource interests. However, such a practice exposes the country to
the risk of volatile natural resources price movement and political risks. Given the challenges and recommendations as follows you mentioned in your essay, I seriously hope technologies will solve the problems.
(1) To link machine learning analytics with actionable and tailored solutions to clients, BHGE must focus its resources on building cross-trained teams with the operational domain subject matter expertise, the digital expertise and business knowledge.
(2) For the big data predictive models to be effective, it must be fed with massive amounts of data which poses a big challenge in the oil & gas industry given the high level of data confidentiality between major oil & gas players. Therefore, to tackle this issue, BHGE must be focused on forming strategic partnerships with major oil & gas companies to form a hub of shared data which can be fed into the big data models.
Hey great essay!
It really makes sense that Amazon bought Whole Foods. Combined with the voice information that Amazon collects through Amazon Echo, Amazon will create an environment where online and offline connect. The progress of the graphic recognition technology is amazing. I used to work with a large tech company that develops facial recognition technology that recognizes 10,000 people’s face in 1 second. Amazon is taking a great initiative.