Term explanation
An AI agent is a software system that perceives its environment, reasons over context, and autonomously takes actions to achieve a defined goal — without requiring a human to trigger each individual step. Unlike a chatbot that responds to a single prompt, an AI agent plans, executes multi-step tasks, uses tools, and adapts based on the results it observes. AI agents can operate independently or as part of larger multi-agent systems, and are increasingly embedded in enterprise software to automate complex workflows across departments.
LIZ AI operates as an AI agent for presentations: it perceives changes in your data, plans the necessary slide updates, executes them across your PowerPoint environment, and adapts — all without waiting for manual instructions.
Learn more →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.
Learn moreDiagonal communication means that the employees of a company communicate with each other regardless of their function and their level in the organisational hierarchy and regardless of their department within the company.
Learn moreKeynote is Apple's presentation software, included with macOS and iOS as part of the iWork suite. Known for its polished default themes, smooth animations, and intuitive interface, Keynote is widely used by designers, creatives, and speakers who value visual quality. It exports presentations to PDF, video, and PowerPoint formats. In a broader sense, the term 'keynote' also refers to the headline or opening presentation at a conference, delivered by a featured or senior speaker.
Learn moreBlended learning combines traditional face-to-face instruction with digital and online learning activities. A typical blended model might include in-person workshops supported by e-learning modules, video content, or discussion boards that learners engage with before or after class. Blended learning gives instructors flexibility to use classroom time for higher-order activities while delegating knowledge transfer to self-paced digital content, improving both efficiency and learner outcomes.
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