LATEST REGIONAL PROJECT UPDATE
1 AUSTRALIA
2
INDIA
Atos has been selected as one of the strategic partners to deliver Managed Platform Services ( MPS ) for the South Australian Government under a three-year Heads Agreement . The MPS aims to deliver data processing and storage as well as hyperscale cloud services management .
AMS-IX , a leading Internet Exchange , and Sify Technologies , an ICT service and solution provider based in India , has announced the expansion of their footprint of Internet exchanges in India . The new interconnection hubs are going to be situated in Kolkata , Noida , Hyderabad and Chennai .
The new contract agreement combines government agencies ’ requirements for data processing and storage across various platforms and configurations ( physical and cloud , managed and unmanaged hosting , state-owned and supplier-owned servers ) into one single contractual arrangement . It will allow the State of South Australia to access , store and process data in a way that is safe and reliable .
The partnership between AMS-IX and Sify started with the launch of a neutral and independent Internet Exchange in Mumbai . By expanding to the digital hotspots of Kolkata , Noida , Hyderabad and Chennai , Sify and AMS-IX seek to enhance the quality of network interconnections in these regions as well .
3
CHINA
Aurora Mobile , a leading mobile developer service provider based in China , announced it has entered into a partnership agreement with the world ’ s largest digital currency trading platform . Aurora Mobile will leverage its cutting-edge Artificial Intelligence technology and analytics capabilities to help the platform improve operational efficiency and enhance user experience .
Founded in 2017 , the platform offers cryptocurrency spot and margin trading services , covering most major digital currencies , including bitcoin , litecoin , ether , binance coin and tether .
4
JAPAN
Fujitsu Laboratories has announced the successful development of an AI technology for image inspection that enables highly precise detection of a wide variety of external abnormalities on manufactured goods , including scratches and production errors .
The technology leverages an AI model trained on images of products with simulated abnormalities , without having to prepare training data that uses actual images of defective products pulled from the inspection process of a production line .
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