October 1, 2014
Nippon Telegraph and Telephone Corporation
Preferred Networks, Inc.
Nippon Telegraph and Telephone Corporation (headquartered in Chiyoda-ku, Tokyo; President & CEO Hiroo Unoura; hereinafter referred to as NTT) and Preferred Networks, Inc. (headquartered in Bunkyo-ku, Tokyo; President & CEO Toru Nishikawa; hereinafter referred to as PFN*) have agreed to establish a business and capital tie-up with the aim of developing next-generation Big Data technologies that target the Internet of Things (IoT), a field that is expected to grow dramatically.
Through this collaborative agreement, the two companies combine NTT’s distributed processing and leading-edge machine learning technologies and know-how on network security with PFN’s machine learning and deep learning technologies and know-how on development and implementation, in order to develop next-generation Big Data technologies and thereby further promote their Big Data businesses.
The details of the tie-up are as follows.
Amount of investment | : | About 200 million yen (stock holding ratio: less than 10%) |
Method of stock acquisition | : | allocation of new stock to a third party |
Planned date of stock acquisition | : | October 8, 2014 |
NTT Laboratories and PFI have jointly developed Jubatus, a Big Data processing platform technology, since 2011. Jubatus is the world’s first real-time Big Data processing platform that provides better performance in both real-time processing and deep analysis than existing Big Data processing technologies, such as Hadoop. Considered as a common asset that will contribute to utilization of Big Data, Jubatus has been released as open source software.
In the coming age of the IoT, a huge number of widely distributed sensors and networks will generate Super Big Data (some zetabytes (i.e., trillions of GB) of data will be generated by tens of billions of devices). This will give rise to a number of technical issues, such as serious congestion in networks for access to clouds and inability to analyze data in real time. To solve these issues, it is necessary to develop next-generation Big Data technologies, such as wide-area distributed processing and advanced machine learning.
The next-generation Big Data technologies will enable a transition from a world in which only servers, PCs and smartphones communicate to a world in which all things communicate. This is expected to create new business opportunities in a wide range of fields, from manufacturing, health care, insurance, and finance to retailing, bringing about dramatic changes in society. Conceivable examples of the application fields are as follows.
Nippon Telegraph and Telephone CorporationR&D Planning Group, Research and Development Planning Department Preferred NetworksEmail: pfn-info@preferred.jp |
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