Term explanation
Written communication is the transmission of information through written text — including emails, reports, proposals, presentations, messages, and documentation. Unlike spoken communication, written messages persist over time and can be reviewed, shared, and referenced repeatedly. Effective written communication requires clarity, appropriate structure, careful word choice, and an understanding of the reader's needs and context. In business settings, it is one of the primary channels for formal decisions, instructions, and record-keeping.
LIZ AI bridges written and visual communication. It transforms written reports, data, and briefings into structured, brand-compliant slide decks — automatically — so the written work translates directly into compelling presentations.
Learn more →A multimedia presentation combines multiple types of content — such as text, images, audio, video, animations, and interactive elements — into a single cohesive slide deck or digital experience. By engaging more senses, multimedia presentations improve audience attention and retention compared to text-heavy slides. They are used in marketing, training, education, and corporate communications. Modern presentation tools make it straightforward to integrate diverse media types, though content balance and loading performance remain important considerations.
Learn moreThe Model Context Protocol (MCP) is an open standard developed by Anthropic in 2024 and widely adopted in 2025 by OpenAI, Google, and Microsoft. It defines a standardized way for AI agents to connect to external tools, data sources, and enterprise systems — without requiring custom integrations for every connection. MCP acts as a universal interface: an AI agent with MCP support can securely access databases, APIs, document repositories, and business applications using a consistent protocol, regardless of the underlying system. This dramatically simplifies how AI is embedded into complex enterprise environments.
Learn moreTask decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.
Learn moreLive online training is a synchronous learning format in which an instructor leads a session in real time via video conferencing or webinar platforms. Participants join from different locations and interact with the trainer and fellow learners through chat, polls, breakout rooms, and Q&A. Unlike pre-recorded e-learning, live online training maintains the immediacy and interactivity of in-person training while removing geographic barriers.
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