AI in business: opportunities and impacts

A practical module to understand what AI can (and cannot) do for your business — without the hype, and with full awareness of the real impacts.

Module contents:

• Current state of development: media hype vs actual infrastructure investment
• How Large Language Models work: basic architecture and probabilistic reasoning
• What LLMs do well: synthesis, writing, translation, structuring, rephrasing
• What they do poorly: hallucinations, silent errors, source misuse, overconfidence
• Energy and infrastructure impacts: consumption behind an LLM, emissions, sustainability
• Direct and indirect costs for businesses
• Tool selection criteria: when to use a generative chatbot, when a vertical tool
• Prompt engineering as a management skill: asking the right questions, reducing errors and ambiguity
• Using AI for Excel: generating, explaining and correcting formulas
• Introduction to vibecoding: rapid prototyping and intent-driven development

Who should attend:

Entrepreneurs and managers who want to integrate AI into business processes with awareness of limitations, costs, and sustainability impacts.

Format:

Lecture with live demonstrations on ChatGPT, Copilot and other tools. Prompt engineering exercises.