Panel Discussion

Panel Discussion

Term explanation

Definition and meaning

A panel discussion is a moderated conversation between a group of experts or representatives on a shared topic, typically conducted in front of an audience. Each panelist contributes their perspective, and the moderator guides the discussion to ensure balance, depth, and relevance. Panel discussions are common at conferences, industry events, and academic forums. They offer audiences insight into diverse viewpoints and create a more dynamic, conversational alternative to traditional keynote presentations.

LIZ AI prepares panel presentations automatically. It composes structured, data-backed decks from your sources and brand templates — so panelists walk in with a polished, current presentation, not a last-minute draft.

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Other glossary terms

AI Grounding

AI grounding is the process of anchoring an AI system's outputs to verified, real-world data rather than relying solely on knowledge encoded during model training. A grounded AI retrieves relevant, up-to-date information from external sources before generating a response. This significantly reduces the risk of AI hallucinations and ensures that outputs are accurate, current, and contextually relevant — a critical requirement for enterprise AI applications where factual reliability is non-negotiable. Grounding is a core technique used in LLM-powered systems.

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Vocal distractions

Vocal distractions are habits or patterns in a speaker's voice that draw attention away from the content of a message. These include filler words like 'um' and 'uh', monotone delivery, excessive speed or slowness, a rising intonation at the end of statements (upspeak), and throat-clearing. Vocal distractions reduce the impact and perceived professionalism of a presentation. They can typically be addressed through targeted public speaking practice, recording and self-review, and professional coaching.

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Agentic AI

Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.

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WWTBAM

Who Wants to Be a Millionaire (WWTBAM) is a popular television quiz format that has been widely adapted as a game-based learning tool in presentations, training sessions, and classroom settings. Participants answer multiple-choice questions with progressively higher stakes, using lifelines for help. Its competitive, high-stakes structure creates engagement and tests knowledge retention in a memorable, entertaining way. Many presentation tools support WWTBAM-style quiz templates directly.

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