Virtual Audience

Virtual Audience

Term explanation

Definition and meaning

A virtual audience consist of people who join an event / a meeting / a presentation via an electronic device (computer or smartphone) over the Internet. Each member may be located in a different place while an event takes place. Virtual audiences are becoming increasingly important as the amount of events held online is rising.

LIZ AI ensures virtual presentations are polished and current before they go live. It updates data, checks brand compliance, and prepares the deck automatically — so presenters can focus on delivery, not preparation.

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Other glossary terms

Outline view

The outline view in PowerPoint shows a list with the whole text of all slides on the left of the screen. There are no images and graphics displayed in this view. It's useful for editing the presentation and can also be saved as a Word document.

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Internal Summary

An internal summary is a brief recap placed within a presentation — not at the end, but midway through — to reinforce key points before moving to a new section. It helps the audience consolidate what they have heard so far and signals a transition to the next topic. Internal summaries are especially valuable in long or complex presentations, where listeners may lose track of earlier content. They improve information retention and help maintain a clear narrative thread throughout the talk.

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Open Questions

Open questions invite a full, unrestricted response rather than a simple yes or no. They typically begin with words like 'how', 'what', 'why', or 'tell me about'. In presentations, coaching, interviews, and research, open questions encourage deeper thinking, surface underlying perspectives, and generate richer dialogue. They are essential for understanding audience needs, facilitating discussions, and building engagement during interactive sessions.

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Task Decomposition

Task decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.

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