Data-Driven Presentation

Data-Driven Presentation

Term explanation

Definition and meaning

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.

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Other glossary terms

Adaptive Presentation

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.

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Fundraising Events

Fundraising events are organized activities designed to generate financial support for a cause, organization, or project. They can take many forms — galas, charity auctions, run events, crowdfunding campaigns, or donor presentations. Effective fundraising events combine compelling storytelling with clear calls to action, making it easy and emotionally motivating for attendees to contribute. The presentation of impact data, beneficiary stories, and organizational credibility is central to converting attendee interest into donations.

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Agentic AI

Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.

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Student Response System (SRS)

A student response system (SRS) is a technology that allows students to respond to questions or polls during a class or presentation using personal devices or dedicated clickers. Responses are collected and displayed in real time, giving instructors immediate insight into comprehension levels and enabling on-the-spot adjustments to pacing or content. Student response systems improve engagement, reduce passive listening, and make large group instruction more interactive.

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