Nex-G Innovations

The objective of this training is to equip participants with in-depth knowledge and practical skills in Operations Support System (OSS) and Business Support System (BSS) to efficiently manage telecom operations, enhance customer experience, and optimize network performance.

The program covers key aspects such as service provisioning, billing, customer relationship management (CRM), fault management, and performance monitoring, ensuring participants gain a holistic understanding of the telecom ecosystem. By the end of the training, attendees will be proficient in leveraging OSS and BSS tools to drive operational excellence and support business strategies, making them valuable assets in the telecom industry.

Code: NES_SK_2390

Duration: 40 Hrs / 4 Weeks Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

+91-8826900551

• Strategic Role of OSS/BSS in Next-Generation Networks (5G, IoT, and Beyond)
• Advanced OSS/BSS Architectures: Distributed and Cloud-Native Systems
• Industry Trends: From Legacy Systems to Digital Transformation

• Advanced Telecom Network Topologies (SDN/NFV and Edge Computing)
• Service Design, Orchestration, and Lifecycle Management in OSS/BSS
• Case Study: Evolving OSS/BSS for 5G Network Slicing

• Advanced Fault Correlation Techniques: Root Cause Analysis with AI/ML
• Predictive and Prescriptive Network Performance Analytics
• Real-Time Monitoring and Self-Healing Networks

• Dynamic Pricing Models for Converged Services (5G, IoT, OTT)
• Revenue Management for Multi-Partner Ecosystems
• Fraud Prevention Strategies Using AI in Revenue Assurance

• Proactive Service Assurance Models
• Real-Time Service Level Agreement (SLA) Monitoring
• AI-Powered Tools for Service Quality Optimization

• Leveraging AI and Machine Learning for Predictive Operations
• Blockchain for Billing, Identity Management, and Fraud Detection
• Real-Time Analytics with Edge and Fog Computing

• Transitioning from Monolithic to Microservices-Based Architectures
• OSS/BSS in Private, Public, and Hybrid Cloud Environments
• Case Studies on Cloud-Native OSS/BSS Deployments

• Standards and Frameworks (TM Forum Open APIs, REST, and GraphQL)
• Advanced API Management for Multi-Vendor Environments
• Enabling Seamless Ecosystem Integrations

• Self-Organizing Networks (SON) in OSS
• End-to-End Service Orchestration for Multi-Domain Networks
• Closed-Loop Automation with AI/ML

• Advanced Data Lakes and Warehousing for OSS/BSS
• Real-Time Insights from Big Data in Telecom Operations
• Predictive Models for Customer Churn and Network Performance

• Advanced Security Protocols for OSS/BSS Systems
• Ensuring Regulatory Compliance in Multi-National Operations
• Case Study: Navigating GDPR and Localized Regulations

• Intelligent Decision-Making with AI Models
• AI-Powered Fault Prediction and Resolution
• Building ML Pipelines for Telecom Use Cases

• Real-Time Policy and Charging Control (PCC) in 5G
• Managing 5G Network Slices with Advanced OSS/BSS
• Dynamic Service Provisioning for 5G IoT Ecosystems

• Customizing OSS/BSS for IoT, Smart Cities, and Automotive
• Edge-Oriented OSS/BSS Use Cases for Industrial IoT (IIoT)
• Vertical-Specific Challenges and Solutions

• Overview On Advanced OSS/BSS Platforms (e.g., Amdocs, Ericsson OSS/BSS)
• Simulating Complex Scenarios: Fault Management in Multi-Vendor Networks
• Advanced Billing Scenarios: Dynamic Charging for Multi-Partner Ecosystems

• High Availability and Disaster Recovery for OSS/BSS
• Load Balancing and Scaling Strategies in Cloud-Native Environments
• Future-Proofing OSS/BSS for Scalability and Performance

• Autonomous Network Management Using AI Models
• AI-Powered SLA Management in Zero-Touch Operations
• Advanced Use Cases in Closed-Loop Automation

• Complex Multi-Vendor, Multi-Domain OSS/BSS Use Cases
• Managing Partner Ecosystems in 5G and Beyond
• Frameworks for Collaborative Network Management

• Designing a Scalable OSS/BSS for 5G and IoT Networks
• Implementing Advanced Analytics for Service Assurance
• Presenting and Defending the Solution Design

• Role of Data Analytics in Telecom Operations
• Predictive Maintenance and Customer Insights
• Tools for OSS/BSS Data Analysis

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