Page 59 - AI for Good-Innovate for Impact
P. 59
AI for Good-Innovate for Impact
Use Case – 10: Easing Operations using ML/AI solution for 6G and
beyond Network Orchestration and Secure Network Operations 10 - Tata Elxsi
Country: India
Organization: Tata Elxsi
Contact person: Priyadarshini, Priyadarshini@ tataelxsi .co .in
Ramesh Ramanathan, Ramerama@ tataelxsi .co .in
Jayaprakash G, Jayaprakash.G@tataelxsi.co.in
10�1� Use case summary table
Domain Telecommunications
The problem to be • The sophisticated orchestration engines require technical know-
addressed how and are labour-intensive.
• Repeatedly modeling standard configurations is time-consuming.
• Manual calculations for capacity and cost forecasting can lead to
errors and resource overprovisioning.
• Traditional security measures are inadequate against diverse
attacks.
Key aspects of the • Autonomous network operations simplify deployment and configu-
solution ration using NLP and ML/AI.
• A digital twin projects resource utilization for optimized infrastruc-
ture management.
• Extended reality (XR) enhances observability and interaction
through responsive visualization.
• AI-driven security detects and mitigates threats with continuous
monitoring and automated policy enforcement.
Technology NLP, ML, AI, Digital Twin, Extended Reality (XR), Network Functions
keywords (NFs), Kubernetes, Anomaly Detection, Security Policies
Data availability Not publicly available; internal data used for model training and vali-
dation.
Metadata (Type of Network configurations, historical deployment data, traffic patterns,
data) security incidents, resource utilization stats.
Model Training and historical network data and deployment records to train ML models;
fine-tuning continuous fine-tuning based on new
Testbeds or Pilot Development of proof of concept and potential for future testbeds or
deployments pilot deployments to validate solutions.
43
