Term explanation
A data-driven presentation is a slide deck in which the content — charts, KPIs, tables, and narrative text — is directly derived from live or structured data sources rather than manually entered. Rather than copying figures from a dashboard into PowerPoint, data-driven presentations pull information automatically from connected systems such as CRM, ERP, or BI tools. The result is a living presentation that always reflects current data — and is the foundation of Agentic Slides architecture.
LIZ AI transforms any PowerPoint into a data-driven presentation: it connects directly to your enterprise systems, retrieves the latest figures, and updates slides automatically — so every deck reflects the current state of your business.
Learn more →Live online training is a synchronous learning format in which an instructor leads a session in real time via video conferencing or webinar platforms. Participants join from different locations and interact with the trainer and fellow learners through chat, polls, breakout rooms, and Q&A. Unlike pre-recorded e-learning, live online training maintains the immediacy and interactivity of in-person training while removing geographic barriers.
Learn moreA .ppt file is a presentation created with Microsoft PowerPoint, containing slides with text, images, animations, and transition effects. The .ppt format is the legacy binary version of PowerPoint's native format, predating the XML-based .pptx format introduced with Office 2007. While .pptx has since become the standard, .ppt files remain widely supported for backwards compatibility across modern presentation software.
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.
Learn moreClosed questions are questions that can be answered with a limited set of responses — most commonly a simple 'yes' or 'no', or a selection from predefined options. They are used to gather specific, factual information quickly and efficiently. In presentations and training settings, closed questions are useful for gauging audience understanding, confirming agreement, or running quick polls. While efficient, they offer little depth and should be balanced with open-ended questions when richer feedback or discussion is needed.
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