JZMBA2020

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Additive manufacturing of hearing aid requiring anatomical precision
JZMBA2020
Last modified on November 13, 2018 at 12:02 am
Earlens, a innovative hearing aid maker, used additive manufacturing to make anatomical precision hearing aid a possibility

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On November 15, 2018, JZMBA2020 commented on Crowdsourcing at Amazon: Democratization of TV / Film Content :

Great article. With 20-20 hindsight it’s easy to say that Open Innovation should not be a tool that drives volume. I feel how to introduce cohesion between different elements in an Open Innovation environment is a question practitioners must address before charging ahead with OI initiatives.

On November 15, 2018, JZMBA2020 commented on The Revolution Has Begun: Siemens’ Use of Additive Manufacturing to Drive Innovation and Production Enhancement :

Good article. I’m wondering if Siemens is trying to use Additive Manufacturing as a tool to further penetrate into the manufacturing sector. By receiving data on manufacturing activities from thousands SMEs, Siemens not only enables their customer but also positions itself to be the operating system of future manufacturing.

On November 15, 2018, JZMBA2020 commented on Crowdsourcing a moonshot: can a redesigned toilet help India win the battle against human waste? :

This is a great essay that outlines how Open Innovation can tackle problems that is small individually, but massive collectively.

Like mentioned in the article, “Crowdsourced challenges can spur unprecedented innovation leaps at stalled industries”. More importantly, open innovation in this instance spurs additional discussion on the issue or causes of the issue, thus creating more awareness and better attracting resources.

On November 15, 2018, JZMBA2020 commented on Machine Learning in the Fragmented Construction Industry :

I really enjoyed reading this excellent essay.

It clearly explains the current application of machine learning in the construction field and outlines the vast potential for additional applications. For a traditional sector that suffers from low productivity growth and frequent cost overrun, machine learning could provide a new hope for elevated services in the future.

On November 15, 2018, JZMBA2020 commented on The London bus is dead. Long live the London bus. :

This is a great essay on how eminent and initiate machine learning can be. The technology does not have to sit in a super lab in a college campus, it can be used in familiar ways to address even more familiar problems.

I’m wondering what will be Uber’s response to CityMapper, given that Uber already have the algorithms, data, and the experience. In any case, rejuvenating the public transportation system in a buzzing large metropolis will create meaningful benefit such as reducing time wasted in travel, reducing energy consumption and emission, and improving traffic congestion.

I wish CityMapper luck and look forward to more of these entrepreneurial problem solvers.

On November 15, 2018, JZMBA2020 commented on 3D-Printing: A Nuclear weapon for startups willing to disrupt the vending machine business. :

It is interesting to see that 3D printing is helping with increasing efficiency in iterating distribution systems. Often, 3D printing is thought about in a manufacturing context. Although the application outlined in the article is manufacturing, but its end application shows the immense potential of additive manufacturing and the agility of the technology.