Generative AI
Generative AI refers to artificial intelligence systems that create new content — such as text, images, code, or structured data — in response to a prompt or task, rather than simply analyzing or classifying existing information. Powered by large language models and other foundation models, generative AI can write documents, summarize reports, produce slide content, and translate data into natural language. In enterprise settings, it is the core technology behind modern AI assistants, document automation tools, and presentation generators. A presentation-specific evolution of generative AI is the Large Presentation Model (LPM), which combines generative capabilities with enterprise context, brand guidelines, and the full presentation cycle.
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AI Orchestration
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.
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Diagonal Communication
Diagonal 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.
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Internal Preview
An internal preview is a brief statement placed at the start of a new section within a presentation that signals what is coming next. It acts as a mini roadmap within the talk, preparing the audience for the upcoming content and helping them follow the structure. Together with internal summaries, internal previews create a strong narrative skeleton that keeps listeners oriented and engaged, even in presentations that cover multiple distinct topics.
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