Solutional Blog
Networks Are Graphs, Not Language Problems: A Look at NetAI’s GNN Approach
Most AI systems in networking treat operations like a language problem. But networks are fundamentally graphs built on relationships, dependencies, and topology. At NFD40, NetAI presented a compelling case for why Graph Neural Networks may be better suited for deterministic root cause analysis and autonomous network operations.
How the GPU Became the Foundation of Modern Artificial Intelligence
What started as a way to render better video games became the engine behind modern artificial intelligence. The GPU’s evolution from graphics accelerator to parallel computing powerhouse reshaped not just computing—but how machines learn, reason, and create.
Practical AI for Real-World Network Operations
Aviz Network Copilot embeds operator-centric AI directly into real NetOps workflows, replacing brittle dashboards with context-aware, explainable intelligence. Built as a private, on-prem GenAI platform, it ingests live operational data and applies hybrid RAG to deliver grounded answers that reduce time-to-understanding in production networks.
The Age of Ideas
We’re entering the Age of the Idea where imagination, not engineering, is the limiting factor. With generative AI and no-code tools, anyone can turn a concept into a working prototype in hours, not months. The barriers are falling. What will you build?
Three Critical Questions That Guide An AI Initiative
AI is transforming network operations, but success starts with asking the right questions. What specific problem will AI solve better than existing tools? And is your network data ready - clean, connected, and real-time? Without clear answers, AI in NetOps risks becoming a costly experiment rather than a strategic advantage.