Term explanation
Agentic Slides are presentation slides that autonomously respond to changes in connected enterprise systems. Rather than being static documents, Agentic Slides pull live data from sources like CRM, ERP, or BI tools and update their content automatically. When KPIs shift or new information becomes available, the relevant slides are refreshed without manual effort. The concept makes presentations a living part of an organization's data infrastructure.
LIZ AI's Agentic Slides connect your PowerPoint directly to your enterprise systems. Data is automatically retrieved, translated into slides, and updated the moment anything changes — your presentations stay current at all times.
Learn more →For a manuscript speech, the speaker has an entire manuscript to read from. The benefit is that, as every single word is scripted, no important parts will be missed. However, speeches that are fully written down often seem unnatural and may bore the audience.
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 moreA webinar is a live, interactive online presentation or seminar broadcast over the internet. Participants join from any location using a web browser or app and can interact with the presenter through chat, polls, or Q&A features. Webinars are widely used for training sessions, product demonstrations, thought leadership events, and virtual conferences. Unlike recorded e-learning, webinars create a sense of real-time connection between presenter and audience.
Learn moreAgent memory refers to an AI agent's ability to retain and recall information across tasks and sessions. Two types are commonly distinguished: short-term memory, which holds context within a single agent loop interaction, and long-term memory, which persists across sessions and stores facts, preferences, and historical decisions. Memory is what transforms a stateless AI tool into a context-aware agent that produces increasingly relevant results over time — a core requirement for production Agentic AI deployments.
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