Term explanation
Co-located Audience means that the speaker talks to the audience in person. It is used verbal and non-verbal methods to communicate a message. The speaker makes gestures with their hands, changes their face expression and shows images.
LIZ AI helps teams deliver consistent, on-brand presentations to co-located audiences at scale. Every deck — whether for a small boardroom or a large all-hands — reflects the same accurate data and visual standards.
Learn more →An internal preview is a brief statement placed at the start of a new section within a presentation that signals what is coming next. It acts as a mini roadmap within the talk, preparing the audience for the upcoming content and helping them follow the structure. Together with internal summaries, internal previews create a strong narrative skeleton that keeps listeners oriented and engaged, even in presentations that cover multiple distinct topics.
Learn moreAsynchronous learning refers to educational experiences that do not require all participants to be present at the same time. Learners access materials, complete exercises, and submit work according to their own schedule within a defined timeframe. Common formats include recorded video lectures, discussion boards, and self-paced e-courses. Asynchronous learning offers flexibility for geographically dispersed or busy learners and forms the backbone of most online learning programs.
Learn moreTo create your own Template in PowerPoint it is best to use the Slide Master. After updating the Slide Master with your design, all slides (fonts, colours, images, …) adapt to those of the Slide Master.
Learn moreChain of thought is an AI reasoning technique in which a model explicitly works through intermediate steps before arriving at a final answer. By laying out its reasoning step by step, the model produces more accurate and reliable outputs — especially for complex, multi-part problems. In agentic AI systems, chain-of-thought reasoning is used to plan workflows and make decisions at each stage of an agent loop. For enterprise applications, it increases transparency and makes AI behavior easier to audit.
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