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These companies currently have access to the the Smart O&M for private data centers Catalyst. Would you like the following company to keep you updated about their products and services by electronic means?
Beijing ZZNode Technologies Co.,Ltd.
China Mobile Communications Corporation
Inspur Communication Information Systems Co., Ltd
SI-TECH Information Technology Ltd.

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C21.0.206 Status: Completed Info Completed: This project has completed this phase and is no longer active.
9 Review(s)
Average based on 9 review(s)
AI , Data & Insights
AI/Machine Learning , IT Transformation

This Catalyst uses machine learning, image recognition and 3D visualization to optimize operations and maintenance (O&M) and security for private cloud infrastructure in China Mobile’s data centers.
3D models are created of the data center, computer rooms, racks and equipment and integrated with status data for energy consumption, load bearing and alarms, giving engineers an intuitive view of the data centers when they cannot be physically on site. Maintenance engineers and security teams can monitor remotely and accurately all the computing, storage and networking equipment inside data centers as well as the physical facilities.
In response to COVID-19, entry to data centers has been restricted and personal contact among staff has been reduced. This has created challenges for security and maintenance. In addition, China Mobile has a very large-scale private cloud infrastructure with more than one hundred thousand computers. Maintaining so much equipment and locating the sources from high volumes of alarm events is difficult.
Intelligent 3D visualization helps maintenance and security teams to predict and identify issues quickly and prevent faults and service disruption, while improving the operational efficiency of data center O&M and security.

We provide the audience with introduction PPT and videos of the project. Ppt introduces the 8 core components of our solution, the background and benefits of the project. The video will help the audience understand our products more intuitively. We recommend that you read the PPT before watching the video.


Warmly welcome colleagues in the industry to participate in our project discussion

A  discussion event has been scheduled.

Event Type: 
30 Minute Meeting

Zhibin Guo

Invitee Email:

Additional Guests:

Event Date/Time: 
06:00am - Monday, September 27, 2021 (Eastern Time - US & Canada)

This is a Zoom web conference.

Attendees can join this meeting from a computer, tablet or smartphone.

One tap mobile:
+1 646 558 8656,,89706932140#
+1 301 715 8592,,89706932140#

They can also dial in using a phone.
US: +1 646 558 8656, +1 301 715 8592, +1 312 626 6799, +1 669 900 9128, +1 253 215 8782, +1 346 248 7799
Meeting ID: 897-069-32140 

Find your local number:

Invitee Time Zone: 
China, Singapore, Perth


Please share anything that will help prepare for our meeting. 

Discussion of project promotion and Q & A