Anforderungen an KI-Systeme: Warum sie anders sind als bei klassischen Softwaresystemen

Requirements for AI Systems: Why They Differ from Classical Software Systems

At Spirit in Projects, we have spent years helping companies define requirements for complex IT systems and professionally prepare tenders. In recent years, a clear trend has emerged: Artificial intelligence (AI) is being integrated into more and more projects—and brings with it unique challenges. When it comes to AI systems, defining the right requirements from the outset is… Continue Reading Requirements for AI Systems: Why They Differ from Classical Software Systems

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In Bezug auf KI stellen sich komplexe rechtliche und ethische Fragen.

Data Ethics as a Quality Standard for Artificial Intelligence (AI)

Companies developing or deploying AI applications face a strategic dilemma: On one hand, AI promises efficiency gains; on the other, legal requirements demand caution and transparency. How can businesses responsibly navigate this tension? The reality is that AI performance is no longer measured solely by response time or computational power. Instead, trustworthiness has become the decisive factor. But… Continue Reading Data Ethics as a Quality Standard for Artificial Intelligence (AI)

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Nicht verzweifeln: Mit Spirit in Projects meistern Sie KI Projekte und kennen die Erfolgsfaktoren.

Artificial Intelligence in Project Management: Success Factors and Pitfalls

The integration of Artificial Intelligence (AI) in businesses promises significant advancements in automation and efficiency. However, successfully managing an AI project requires more than just technical expertise. Project leaders must navigate a range of pitfalls and standards to overcome the complex challenges involved. Setting Realistic Goals One of the most common mistakes in AI projects is vague or unrealistic objectives.… Continue Reading Artificial Intelligence in Project Management: Success Factors and Pitfalls

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