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 →Verbal communication is the use of spoken or written language to convey information, ideas, or feelings. It is one of the most fundamental forms of human interaction and encompasses everything from casual conversation to formal speeches, presentations, and written documents. In professional contexts, effective verbal communication requires clarity, appropriate vocabulary, active listening, and sensitivity to tone and context. Strong verbal communication skills are consistently ranked among the most valuable competencies in the workplace.
Learn moreA .ppsx file is a PowerPoint show file that opens directly in slideshow mode, skipping the editing interface. Unlike .pptx files, which open in the editor, a .ppsx starts the presentation immediately when double-clicked. This makes it ideal for distributing finalized presentations to audiences who only need to view the content. The .ppsx format replaced the older .pps format introduced in Office 2007.
Learn moreOnline communication encompasses all forms of information exchange that take place over digital networks — including email, instant messaging, video calls, social media, webinars, and collaborative platforms. It has become the dominant mode of professional communication, enabling global teams to collaborate in real time regardless of location. Online communication introduces unique challenges around tone, response time, information overload, and the loss of non-verbal cues, all of which require deliberate attention to maintain clarity and connection.
Learn moreA large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically.
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