What AI skills do departments need?

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Departments need AI skills to identify use cases, classify AI results, and meaningfully integrate AI into their daily processes. The goal is not technical expert knowledge, but the ability to professionally manage AI and use it productively. A central competency is understanding the potential applications and limitations of AI within one’s own area of responsibility. […]

What AI skills are relevant for SMEs?

Tastatur mit überlagerter Programmiercode- und Binärzahlenprojektion

For SMEs, practical AI knowledge that enables targeted use of AI in day-to-day operations is particularly relevant. The focus is on understanding, classification, and application, not in-depth technical expertise. A fundamental understanding of AI and its potential applications is central. SMEs should know what types of AI exist, where they can be meaningfully deployed, and […]

What are the prerequisites for AI deployment in companies?

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There are no standard minimum prerequisites for AI deployment in companies – and that’s precisely the good news. Fundamentally, any company can start with AI, regardless of size, industry, or current level of digitalization. Neither a highly developed IT landscape nor deep AI expertise needs to be present from the outset. The crucial factor is […]

What are common mistakes when getting started with AI?

Nahaufnahme von leuchtenden Binärcode-Zahlen in Blau- und Türkistönen auf dunklem Hintergrund

When getting started with Artificial Intelligence, many companies fail not because of the technology, but due to false assumptions and an unstructured approach. AI is often viewed as an isolated IT solution, even though it deeply impacts processes, organization, and decision-making logic. The result is pilot projects without sustainable value or initiatives that stall early […]