Tripartite AI Alliance
Korean, Chinese and Japanese Telecom Leaders Forge 'AI Alliance'
Hwang Chang-kyu, chairman of KT, Xiang Bing, chairman of China Mobile and Yoshizawa Kazuhiro, president of NTT DoCoMo (from right) are posing for a commemorative photo shoot at the General Meeting of the SCFA 2017. (photo courtesy: KT)
30 November 2017 - 10:00am
Cho Jin-young
KT of Korea, China Mobile of China and NTT DoCoMo of Japan joined forces in the development of AI technology and services.
On November 29, KT announced that the company held the General Meeting of the SCFA 2017, a strategic council among leading telecommunication service providers of Korea, China and Japan with China Mobile and NTT DoCoMo at the Conrad Hotel in Guangdong, China.
KT, China Mobile and NTT DoCoMo agreed to create the 'AI Task Force Team' for the first time at the conference. KT and China Mobile are planning to elaborate their multilingual AI databases through exchanges of interpretation and translation data. In addition, the telecom trio will test various services and discover services through which they can cooperate with one another by sharing various AI speech recognition application programming interfaces (APIs).
China Mobile and NTT DoCoMo are applying AI technology to customer services, the IoT, and marketing among others. KT hopes that the newly established AI TF Team will be a new opportunity for the global AI business, following collaboration with Sound Hound, a leading AI company in US Silicon Valley.
Meanwhile, during the meeting, a lot of attention was paid to KT’s free WiFi roaming service in Korea, China and Japan which is the service that only KT is providing among Korean telecommunication service carriers. The number of cases where KT subscribers used the free WiFi roaming service in China and Japan reached 100,000 in just two months after the launch of the service.
So why did I put this up?
As an example of a Japanese carrier who might want always listening for smartphones...
Q2 cc
the good news is that the design has expanded from a simple sensor hub function to one that now includes a carrier-driven requirement for always-on voice as well.
Use DOCOMO as a fairly good mental model as shown here and that it could be BIGGER
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