Term explanation
AI 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.
LIZ AI acts as an orchestration layer for presentations: it connects to your data, applies your brand rules, and manages the full slide lifecycle — coordinating every step from first draft to final deck.
Learn more →In live online training, it is sometimes useful to divide the students into small groups for certain exercises, as it would be impossible to have conversations at the same time. Break-out-rooms are used so that people can talk to each other without disturbing the others. When the exercise is over, they are sent back to the main room.
Learn moreIn a communication context, an interview is a structured conversation in which one or more people ask questions to gather information, evaluate a candidate, or explore a topic in depth. Interviews can be formal or informal and occur across many settings — job recruitment, journalism, research, and broadcast media. Effective interviewers prepare focused questions, actively listen, and manage time to cover key areas. Interviewees benefit from clear, structured answers that directly address what is being asked.
Learn moreIn a communication context, an interview is a structured conversation in which one or more people ask questions to gather information, evaluate a candidate, or explore a topic in depth. Interviews can be formal or informal and occur across many settings — job recruitment, journalism, research, and broadcast media. Effective interviewers prepare focused questions, actively listen, and manage time to cover key areas. Interviewees benefit from clear, structured answers that directly address what is being asked.
Learn moreA large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically. In contrast, the Large Presentation Model (LPM) is a specialised AI system that orchestrates the entire presentation cycle in an enterprise context.
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