Wednesday, June 03, 2020, 10:30:58 AM

ZTE brings UniSeer for digital transformation

Technology Desk |
Update: 2019-07-15 9:46:52 PM
ZTE brings UniSeer for digital transformation

DHAKA: Global technology firm Zhongxing Telecommunication Equipment (ZTE) Corporation has launched special solution for network operators run digital transformation.

The Chinese telecom giant announced the solution titled UniSeer for fifth generation technology in Mobile World Congress in Shanghai 2019. The UniSeer service solution is also launching intelligent applications for six scenarios of services.

The service will enable network operators to predict possible faults in advance and takes proactive action for corrective maintenance and improves the network experience on 5G, according to a statement of ZTE Bangladesh.

Officials claimed the solution effectively proceeds real-time analysis for network activities with exactly locating faults and helps for moving up to better customer experience under such multiple networks with multiple cross-domain and layers.

There are three major capabilities in the UniSeer solution including multivariate data repository provides comprehensive and automatic services for data mining and is an innovative solution that creates new value from the data repository. 

The second is Off-line Lab, which acts as an engine for E2E automation and provides artificial intelligence (AI)-related modeling, data training and validation.

Layered AI engine is the third capability and equips AI engines in multiple layers of central network elements, sub-element of the individual zone and elements of cross-domain. 

The AI-enabled engine also builds up an AI hierarchy with a closed-loop for incremental of intelligent evolution as well as an accumulation of intelligence.

BDST: 2145 HRS, July 15, 2019

All rights reserved. Sale, redistribution or reproduction of information/photos/illustrations/video/audio contents on this website in any form without prior permission from are strictly prohibited and liable to legal action.