Term explanation
Horizontal 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.
LIZ AI helps teams communicate consistently across departments. Shared presentation templates, brand guardrails, and automatic data updates ensure that cross-functional decks always reflect the same standards and current information.
Learn more →SmartArt is a built-in feature in Microsoft PowerPoint (and other Office applications) that converts text and data into visual diagrams — such as process flows, hierarchies, cycles, and relationship maps — with a single click. SmartArt removes the need to manually draw and align shapes, making it easy to create professional-looking visuals quickly. It is particularly useful for illustrating organizational structures, project workflows, and strategic frameworks in presentations.
Learn moreA pitch is a short presentation that is given with the intention of persuading someone (a person or company) to buy or invest. There are various forms of pitches, depending on the goal and intended outcome.
Learn moreBody language is the non-verbal information communicated through physical gestures, posture, facial expressions, eye contact, and movement. In presentations and public speaking, body language plays a critical role in how the speaker's confidence, credibility, and emotional state are perceived. Open posture, deliberate gestures, and sustained eye contact signal confidence and engagement, while crossed arms, fidgeting, and avoiding eye contact can suggest nervousness or disinterest. Presenters who master their body language are generally more persuasive and trustworthy.
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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