{ "error_code": "500", "data": { "zhuang_tai": "token_no", "times": "1759269678" } } AI Network Optimization | VINSINFO
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Telecommunication

AI That Keeps Networks Always-On

goal

Challenge Faced

Telecom networks face outages due to high demand, hardware failures, or environmental factors. Reactive troubleshooting causes customer churn and revenue loss.

solution

Our Solution

We built AI-driven network optimization models that predict outages, reroute traffic, and automate self-healing.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Collect real-time data from network nodes, towers, and routers.

Step 2

AI models detect anomalies and congestion hotspots.

Step 3

Predict potential outages and reroute traffic dynamically.

Step 4

Generate alerts and trigger automated network adjustments.

Quantifiable Benefits

Fewer outages
%
Faster recovery time
0 %
Lower operational costs
%
Higher uptime SLA compliance
%

Who’s Using This

Ericsson AI for network optimization

Innovation 1

Huawei predictive maintenance for telecom towers

Innovation-2

Nokia self-healing networks

Private Surgical Training Institutes

Why It Matters

AI-enabled proactive management ensures better connectivity and customer trust.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

Learn More
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