Enhancing Telco Network Operations with AI-Powered Solutions 🚀
Telecom companies are continually striving to meet service level agreements and address network issues promptly to ensure seamless operations. Infosys has developed a cutting-edge AI solution leveraging NVIDIA technologies to optimize telco network operations, reduce latency, and enhance accuracy.
Building Smart Network Operations Centers with AI Assistance
Infosys, a prominent player in digital services, has rolled out a smart Network Operations Center (NOC) supported by generative AI capabilities. This innovative platform aids NOC operators, network administrators, and IT support teams by offering vital router commands for diagnostics and monitoring, streamlining operations, and boosting customer service.
Overcoming Challenges in AI Chatbot Development
Developing the AI chatbot presented numerous hurdles for Infosys, such as ensuring high accuracy, low latency, and effectively handling network-specific taxonomy and intricate device documentation. The company also faced the challenge of time-consuming vector embedding processes on CPUs and latency issues with Large Language Models (LLMs).
Efficient Data Collection and Preparation
Infosys tackled these obstacles by creating a comprehensive database of network device manuals and knowledge artifacts, concentrating initially on devices from Cisco and Juniper Networks. Custom embedding models and fine-tuned parameters were utilized to populate the database, enabling precise and contextual responses to user queries.
Innovative Solution Architecture for Network Optimization
- User Interface and Chatbot: Developed an intuitive interface with React for customized chatbot experiences and advanced query scripting.
- Data Configuration Management: Flexible settings for chunking and embedding using NVIDIA NeMo Retriever.
- Vector Database Options: Implemented high-speed data retrieval options like FAISS.
- Backend Services and Integration: Robust backend services with RESTful API for seamless system integration.
- Integration with NIM: Leveraged NIM microservices for enhanced accuracy and performance.
- Configuration: Utilized advanced GPU, CPU, and storage resources for optimal performance.
- Guardrails: Enhanced security and reliability with NVIDIA NeMo Guardrails.
AI Workflow Optimization with NVIDIA NIM and NeMo Guardrails
Infosys harnessed NVIDIA NIM and NeMo for fine-tuning and deploying foundational models, along with utilizing NeMo Retriever for efficient data retrieval workflows. These technologies empowered Infosys to connect custom models to business data, delivering accurate responses and improving overall performance.
Impressive Results in Network Optimization
Infosys’s integration of NVIDIA NIM and NeMo Retriever led to significant improvements in latency and accuracy. With NIM, the latency reduced by 61%, while the accuracy soared to 92% with NeMo Retriever embedding and reranking microservices in place.
In Closing: Powering Smart Network Operations with AI Innovations 🌐
By implementing state-of-the-art AI solutions from NVIDIA, Infosys has revolutionized telco network operations, enhancing efficiency, minimizing downtime, and ensuring optimal network performance. Stay updated on the latest advancements in network optimization through innovative AI technologies!
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