Term explanation
Agent 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.
LIZ AI maintains memory of your presentation environment: it knows your brand rules, your recurring deck structures, and your data sources — so every new presentation benefits from the context built up over previous interactions.
Learn more →A .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 moreAnimations in PowerPoint are visual effects that are applied to different items like graphics, title or bullet points, instead of the slides. There are many different animations like: Appear, Fade, Fly in.
Learn moreAI orchestration is the coordination of multiple AI agents, tools, and data sources to complete a complex, multi-step workflow. An orchestration layer acts as a conductor: it decides which agent handles which task, in what order, and how outputs are passed between steps — following the same logic as an orchestrator agent. In enterprise communication, AI orchestration enables end-to-end automation — gathering data, structuring content, applying brand guidelines, and publishing a final presentation — all without human handoffs between each stage.
Learn moreWho Wants to Be a Millionaire (WWTBAM) is a popular television quiz format that has been widely adapted as a game-based learning tool in presentations, training sessions, and classroom settings. Participants answer multiple-choice questions with progressively higher stakes, using lifelines for help. Its competitive, high-stakes structure creates engagement and tests knowledge retention in a memorable, entertaining way. Many presentation tools support WWTBAM-style quiz templates directly.
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