AI utilized in network management involves the deployment of artificial intelligence methodologies like machine learning, deep learning, and natural language processing. Its objective is to enhance the effectiveness, dependability, and security of any network.
Aviz Network Copilot 1.0 serves as an AI-driven network analysis tool designed to assist network operators in identifying performance bottlenecks and resource utilization challenges within their networks. By leveraging natural language prompts, operators can easily interact with the tool to gain insights into network performance metrics and effectively address any issues that may arise. This intuitive approach enhances the efficiency of network monitoring and troubleshooting, enabling operators to maintain optimal network performance and reliability.
Capabilities:
Data ingestion and Storage:
Chat Prompt:
Users will receive a sample question to start a conversation in a chat-based interaction. This question prompts participants to respond, steering the conversation. Additionally, the chat history can be exported using this prompt.
The end user can encounter a continuous stream of data or information as a response to the question via streaming.
Import Context:
Multi-Language support:
Analytics
Graphical representation of data using Pie Charts, Bar Charts, and Timeline Graphs to convey insights, trends, and patterns more effectively. The model also facilitates summarizing, describing, and analyzing the gathered data, while also performing computations to determine averages, counts, percentages, and more. This aids in achieving greater clarity and comprehension of your network.
Security:
- Network Copilot 1.0 ensures the security of the customer data through secure certificates(HTTPS) and the Secure API.
- The secure APIs facilitate the interaction between the Large language model and Database, allowing data exchange, task execution, and information retrieval.
- LLMs are empowered to operate autonomously, utilizing custom-built tools to perform designated functions efficiently and effectively.
Network Copilot - Use case:
Inventory and Accounting:
Capacity Planning:
Anomaly Detection:
Network Compliance:
Conclusion:
Aviz Network Copilot 1.0 leverages cutting-edge AI capabilities facilitated by large language models. Rather than relying on conventional methods for network access, users can engage with Network Copilot to assess various aspects of their network. This includes planning network capacity, identifying instances of network failure, and verifying compliance with predefined configurations and standards. Network Copilot offers an intuitive and efficient alternative to traditional network management approaches, empowering users to gain insights and make informed decisions regarding their network infrastructure.
Unlock the Network Copilot 1.0 experience—schedule a demo on your preferred date, and let us show you how it’s done!
FAQs
1. What is Aviz Network Copilot 1.0 and how does it assist in network management?
Aviz Network Copilot 1.0 is an AI-powered network assistant that uses natural language prompts and machine learning to help operators monitor, analyze, and optimize network performance. It assists in tasks like anomaly detection, capacity planning, inventory tracking, and network compliance, making network management more intuitive and efficient.
2. Which network data sources does Network Copilot 1.0 ingest and analyze?
Network Copilot 1.0 ingests metric data collected via SNMP and ONES Collector from multiple NOS types, including Arista EOS, SONiC, Cumulus, and Cisco NX-OS. The data is standardized for multi-vendor on-prem deployments, enabling comprehensive network analysis across diverse infrastructures.
3. How does Network Copilot help with capacity planning and resource forecasting?
Network Copilot 1.0 compares available versus utilized bandwidth and analyzes traffic trends using graphical tools like pie charts and timeline graphs. This helps administrators forecast network capacity needs, plan infrastructure upgrades, and optimize resource utilization to meet future demand.
4. Can Network Copilot 1.0 detect and alert on network anomalies or failures?
Yes, Network Copilot is trained to detect anomalies such as sudden CPU spikes, memory overutilization, and traffic surges that could lead to link or control plane failures. It enables proactive troubleshooting by identifying network risks early and providing insights to prevent service disruptions.
5. How does Network Copilot 1.0 ensure data security during AI-based network operations?
Network Copilot ensures secure interactions using HTTPS certificates and Secure APIs. It safeguards customer data during ingestion, processing, and retrieval, ensuring encrypted communication between the AI models and network telemetry databases while maintaining user-controlled compliance settings.
