From Packets to Prompts: Self-Service Exploration of Corvil Data

Transform Corvil Data into Instant Answers with AI and Natural Language Queries

Trading and network teams rely on Corvil’s rich telemetry to understand performance, troubleshoot issues, and uncover business insights. But accessing that data often requires specialized tools and expertise. Modern AI technologies can help make Corvil data more accessible across the organization through natural language interactions and self-service analytics.

In this webinar, you’ll learn:

  • How to unlock greater value from Corvil’s trading and network analytics data
  • How natural language interfaces can enable self-service access to complex datasets
  • Practical applications of LLMs for trading, network, and operational use cases
  • How MCP (Model Context Protocol) connects AI models to structured data and APIs
  • Architectural approaches where LLMs act as orchestrators rather than data processors
  • Key lessons from real-world prototyping, including accuracy, guardrails, governance, and production readiness

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