Topic Analytics is a compiler for customer intent — a streaming pipeline that takes the messy, unstructured source code of human conversation and emits structured, typed, queryable signals that a BI system can actually reason about.

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Discover how Webex Contact Center’s Gen-AI scoring system ensures top-tier quality, consistency, and reliability in AI-generated outputs. Learn about innovative algorithms, contextual assessments, and the importance of Responsible AI in creating more accurate and trustworthy content.

Discover why converting your content into markdown—a simple, readable format—can dramatically improve LLM accuracy and performance. Learn how markdown outshines complex formats like JSON or XML in lot of tasks involving LLM by creating LLM-friendly content that enhances AI-driven insights and outcomes.

Discover how modern domains like Webex Contact Center in Cisco are leveraging Large Language Models (LLMs) as virtual agents to enhance customer interactions or carry out generative tasks. Learn the importance of well-crafted prompts, responsible AI practices, and the safeguards needed to prevent hallucinations and security breaches. Ensure your AI-driven service in general is both responsive and secure with a self-protective, context-aware prompt system.

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