mthai

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Uber: Future challenges in the era of AI and ML
mthai
Posted on November 12, 2018 at 8:59 pm
Uber has been successful in implementing machine learning to solve critical business problems and bridge the gap between the physical and digital world. Claiming itself a technology platform, Uber collects a huge amount of data from both drivers and riders [...]

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On November 14, 2018, mthai commented on The long awaited tech disruption of the legal sector :

It will be a big challenge for legal professionals as the article mentioned. Law firms in the future will have to consolidate, hire fewer junior lawyers but still groom them to become partners and employ more technology in order to stay competitive as clients will continue to be more demanding about the cost they pay for legal service.

On November 14, 2018, mthai commented on GE Digital: Can Machine Learning Be the Key to Turning GE Around? :

I would argue for partnering with enterprise-focused technology companies like Microsoft to help develop products and learn from the experience before trying to do it themselves.

https://news.microsoft.com/2018/07/16/ge-and-microsoft-enter-into-their-largest-partnership-to-date-accelerating-industrial-iot-adoption-for-customers/

On November 14, 2018, mthai commented on Machine Learning in Caterpillar :

Interesting article. Given the trend of internet of things now, more data will be collected for better machine maintenance,

On November 14, 2018, mthai commented on Grammar(ly): Who sets the rules? :

I think the more data that Grammarly collects either manually or via data mining algorithm, the better Grammarly product will be. A lot of different times, data mining alone does not produce the best results. That’s why manual checking and review at first is important. However, overtime when the algorithm gets smarter with more data, it will be able to suggest better words or writing styles instead of grammar review.

On November 14, 2018, mthai commented on Will Zalando stay ahead of Amazon in European online fashion? :

I agree that Zalando can improve its capabilities from leveraging more data and machine learning. However, the fact that Yoox Net-a-Porter SpA, Farfetch and Lyst are still growing well (Yoox was growing 20% last year) showcase that the industry is shifting and this might not be a zero sum game

On November 14, 2018, mthai commented on Is machine learning the new wingman? :

It is interesting to see how nowadays people want to limit first physical interaction and opt to use Tinder or match.com to get dates. One might argue that technology helps facilitate those interactions more efficiently. However, it might perpetuate certain biases about people. How do you know whether one is a good fit for you just purely based on works he or she describes herself in an online post or some Instagram filtered pictures? In the future, those dating apps might incorporate more human-centric designed features to help connect humans more on an emotional level than just helping them swipes to get dates.