Term explanation
Listening is a very important part of communication. To be good in communication you need to be a good listener. That doesn't mean just hearing what the other person is saying. But you need to listen active, engage your mind and intently focus on what your talking partner is saying.
LIZ AI supports active listening by reducing cognitive load for presenters. When slides are automatically updated and verified, speakers can give their full attention to the audience — and adapt in the moment.
Learn more →An adaptive presentation is a slide deck that automatically adjusts its content, structure, or length based on context — such as the intended audience, available time, or communication goal. Rather than maintaining separate versions of the same deck, adaptive presentations use AI to derive the right variant on demand. They are a practical application of AI-powered workflows in the presentation layer, and are closely related to the living presentation concept — combining dynamic content with audience-aware adaptation.
Learn moreHorizontal communication flows between people at the same level within an organization — for example, between colleagues in the same department or team leaders across different departments. It facilitates coordination, knowledge sharing, and collaborative problem-solving without the need for information to travel up and down the hierarchy. Effective horizontal communication reduces bottlenecks, breaks down silos, and is essential for cross-functional project work and agile organizational structures.
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 moreAI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.
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