MM

  • Student

Submitted

Ant Financial – Pioneering China Fintech with Machine Learning
MM
Posted on November 13, 2018 at 3:59 pm
Ant Financial is using machine learning to transform China's fintech industry.

Activity Feed

On November 14, 2018, MM commented on Printing the Future of Athletic Shoes at Adidas :

Interesting read. I see how further advancements in 3D printing (if done in scale) can make the production process more efficient, but how costly will be it be for Adidas to use 3D printing to customize shoes on a per customer basis given the limited margin on the products? Also, understand that Nike offers a traditional customizable purchasing process that has not been outperforming in recent years, so would a similar product offering really have a market for Adidas? Nonetheless, I really enjoyed learning about how Adidas is taking advantage of 3D printing to advance product manufacturing.

On November 14, 2018, MM commented on The AI Doctor will see you now – Machine learning transforming healthcare :

This was a great read, an I really like how you framed the essay in terms of machine learning not replacing doctors but assisting doctors so that they can focus on more complex issues . However, a challenge I see is that how do you convince a traditional patient to trust a machine’s diagnosis over that of a doctor whose instinct, intellect, and experience a machine can never replace. Nonetheless, I do agree that not very illness needs human consultation. For example, there’s no reason why one should wait hours in line in a hospital to be treated for a 30 second consultation for illnesses such as a fever or food poisoning, as I imagine machines would be much more efficient at that.

On November 14, 2018, MM commented on Crowdsourcing as the Future of Secret Cinema :

Very interesting read, I did not know Secret Cinema existed and would love to attend a showing! One question I would be very curious to know is that given the participatory nature of the showings and your recommendation of them being increasingly crowd sourced, how is the overall direction of the film controlled? Does a traditional director still exist or do participants have full autonomy to carry the film in a direction that they desire?

On November 14, 2018, MM commented on Love in a Hopeless Place: Machine Learning at OkCupid :

Fascinating read! Did not know the internet had become so prevalent in creating relationships! I think what is extremely interesting is the notion you mentioned of OkCupid’s algorithms being able to identify things that we like that we did not even know ourselves – I see that as a powerful competitive advantage over traditional dating as our potential matches will less likely be limited by our perceptions and biases and therefore create a wider range of possibilities and potential matches. However, as you eluded to, the effectiveness of this model is predicated on people’s willingness to provide both sufficient and accurate data.

On November 13, 2018, MM commented on Boeing: Additive Manufacturing Adding Enough? :

Very informative and fascinating article, and I definitely agree with you that Boeing is not utilizing the full potential of cost savings that 3D printing can bring to the manufacturing process. However, it’d be interesting to know if safety concerns (given that 3D printing is still a relatively new technology compared to traditional manufacturing processes) is part of the management’s decision to limit the usage of the technology.

On November 13, 2018, MM commented on Hackers Wanted: Crowd-sourced security at the United States Department of Defense :

Fascinating article! I was not aware that the DoD engaged white-hat hackers to identify potential vulnerabilities, but that actually seems like a very effective and comprehensive way of diagnosing risks. I agree that hack the Pentagon should serve as a model for other government departments to follow, and I certainly hope more will!