Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

Archive for the ‘alibaba’ Category

Open Sesame

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Lest my blog become too Western-centric, it’s time to return to the China Internet watch, this time for Alibaba’s earnings.

Please remember, Jack Ma’s empire is vast and ever-expanding, with businesses that include two of the world’s largest and most popular online retail marketplaces, Taobao and Tmall, an affiliation with Ant Financial, its new Digital Media and Entertainment Group, and Alibaba.com and Alipay (among others).

Earlier today, Alibaba Group Holding Ltd. indicated its third-quarter revenue jumped 56 percent, beating expectations, according to a report from Reuters.

The group also raised its full year forecast, and announced its 33 percent stake in Ant Financial. 

As Reuters reports, Alibaba is looking for new areas such as cloud computing, payments, and offline retail to maintain its rapid growth rates that make it one of the world’s most valuable companies, with a current market cap of $523 billion.

Alibaba’s cloud business was reported to have crossed 1 million customers globally in the quarter ended last September.

In other words, Alibaba is huuugggeee, and getting huger all the time.

Written by turbotodd

February 2, 2018 at 9:37 am

A Powerful Reading

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Chinese tech giant Alibaba’s research unit has said its deep neural netowrk model is the first to beat humans in the Stanford Question Answering Dataset, according to a report from ZDNet.

Alibaba’s research unit, the Institute of Data Science on Technologies, said it had developed a deep learning model that attained a score of 82.44 in Exact Match on the Stanford Question Answering Dataset. Humans had clocked a previous score of 82.304.

More background:

Squad comprised more than 100,000 question-and-answer sets based on more than 500 Wikipedia articles, in which participants were required to build machine-learning models to respond to the questions. These models would be evaluated by Squad, which then would run the model on the test set.
– via ZDNet

Commenting on the Squad score, Alibaba IDST’s chief scientist of natural language processing Si Luo, said: “That means objective questions such as ‘what causes rain’ can now be answered with high accuracy by machines. We believe the technology underneath can be gradually applied to numerous applications such as customer service, museum tutorials, and online responses to medical inquiries from patients, decreasing the need for human input in an unprecedented way.”
– via ZDNet

Written by turbotodd

January 16, 2018 at 9:19 am

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