Diagonal Communication

Diagonal Communication

Term explanation

Definition and meaning

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.

LIZ AI enables consistent diagonal communication across hierarchy levels and departments. Every presentation — regardless of who created it — is held to the same brand and data standards automatically.

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Other glossary terms

Virtual Reality

In a learning context, virtual reality (VR) creates immersive, simulated environments in which learners can practice skills, explore scenarios, or experience situations that would be difficult, expensive, or dangerous to replicate in real life. VR training is used in industries such as healthcare, aviation, manufacturing, and emergency services. By placing learners inside a realistic environment, VR significantly increases engagement, retention, and the transfer of skills to real-world performance.

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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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Agentic AI

Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.

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Data-Driven Presentation

A data-driven presentation is a slide deck in which the content — charts, KPIs, tables, and narrative text — is directly derived from live or structured data sources rather than manually entered. Rather than copying figures from a dashboard into PowerPoint, data-driven presentations pull information automatically from connected systems such as CRM, ERP, or BI tools. The result is a living presentation that always reflects current data — and is the foundation of Agentic Slides architecture.

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