How to use GenAI for instant network troubleshooting
Don’t miss our upcoming webinar, where we showcase how GenAI is driving change in network management and troubleshooting. We’ll be explaining the solution’s architecture, covering its components like the LangChain agent and data integration for more accurate LLM prompting.
There’ll be a live demo of net-chat PoC in action, retrieving network data and assisting with troubleshooting. And that’s not all, we’ll also address the business benefits, security concerns, and challenges related to the presented approach, making it a must-watch for anyone in operations or high-level management of network/infrastructure.
Sign up today for your chance to learn firsthand from our experts in network automation and GenAI.
Join us for a live session!
What’s on the agenda?
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An overview of the common challenges in network configuration and troubleshooting and how GenAI specifically addresses them through a net-chat assistant.
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A brief overview of the key components of our net-chat assistant and overall solution architecture.
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See GenAI in action as our experts put it to the test in a simulated environment to retrieve real-time network data and provide troubleshooting assistance.
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Learn about the business advantages of utilizing GenAI for network troubleshooting and the potential challenges and security concerns associated with it.
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Your chance to ask our experts any questions you might have.
Our expert speakers
Tomasz Janaszka - Solutions Architect
With 20 years of telco/IT experience under his belt, Tomasz has led and developed projects in network design, capacity planning, traffic engineering, resource optimization, and automating network management processes. Currently at CodiLime’s R&D department, where he puts his telecommunications doctorate to good use by developing practical AI/ML applications in networking.
Relevant recent blog posts:
The role of machine learning in modern network architecture and operations
AI and Machine Learning for Networks: natural language processing and reinforcement learning
AI and Machine Learning for Networks: classification, clustering and anomaly detection
Adam Kułagowski - Principal Network Engineer
Adam’s experience with networking protocols and architecture spans over two decades. Passionate about the intricacies of data transmission, he’s our master of optimizing network performance. His knowledge and hands-on experience allow him to design, implement, and manage complex network infrastructures for organizations of all sizes.
Relevant recent blog posts:
Latest addition to network testing and simulation: Containerlab
A Linux debugging and observation tools overview
Packet dropping method: Iptables vs. alternatives in Linux