Term explanation
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.
Learn more →Human-in-the-loop (HITL) refers to a design pattern in AI systems where a human is involved at specific decision points to review, approve, or correct the AI's actions before they are executed. Rather than running fully autonomously, the system pauses at predefined checkpoints and waits for human confirmation — particularly for high-stakes or irreversible actions. HITL works alongside AI guardrails as a key governance principle in enterprise Agentic AI, balancing the efficiency of automation with accountability and human judgment.
Learn moreKeynote is Apple's presentation software, included with macOS and iOS as part of the iWork suite. Known for its polished default themes, smooth animations, and intuitive interface, Keynote is widely used by designers, creatives, and speakers who value visual quality. It exports presentations to PDF, video, and PowerPoint formats. In a broader sense, the term 'keynote' also refers to the headline or opening presentation at a conference, delivered by a featured or senior speaker.
Learn moreA concept presentation introduces a new idea, product concept, or strategic direction to an audience for evaluation or feedback. It is typically used in early stages of a project — before a full proposal is developed — to test reactions, align stakeholders, or secure initial approval. A good concept presentation clearly communicates the core idea, explains the problem it solves, and outlines the key assumptions, without yet committing to a full implementation plan.
Learn moreA multi-agent system is a setup in which several autonomous AI agents work together, each handling a specific part of a larger task. The agents can communicate, divide work, and combine their outputs to achieve goals that would be difficult for a single model. Typically, an orchestrator agent coordinates the workflow while specialist agents execute defined subtasks. In enterprise contexts, multi-agent systems allow complex workflows — such as researching a topic, drafting content, checking compliance, and distributing a presentation — to be fully automated.
Learn more
