AI training: What teams really need
Why content, examples and exercises from your own everyday work decide the outcome.
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Insights.
With substance.
Methods, experiences and perspectives on AI, software and entrepreneurial thinking, understandably prepared for everyday work.
01 / ARTICLES
Latest articles.
Twelve perspectives on AI
in business.
Building our own products with AI: What we learned
Three lessons from developing our own platforms.
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What companies should know about AI
Basic concepts, opportunities and limitations, an understandable basis for the conscious use of AI.
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From pilot project to routine
Why many tests peter out, and which three prerequisites make the difference.
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AI in sales: More time for what matters
How AI takes over preparation and follow-up without replacing personal contact.
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Website redesign with AI: Faster to a coherent presence
When a revision is worthwhile, and what AI takes over.
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EU AI Act and Switzerland: what companies need to know
The EU regulates artificial intelligence in stages. Switzerland currently relies on existing law. What this means for companies.
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AI and data protection: using data correctly
Language models are powerful, but they work with data. Anyone entering personal information carries responsibility.
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Prompting better: how language models work
Good results start with a clear task. Five rules that make the difference in everyday work.
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When AI gets it wrong: spotting and checking hallucinations
Language models write convincingly, even when they are wrong. Anyone using AI needs a review process.
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AI in Swiss SMEs: where the benefit begins
There is a path between announcement and everyday work. Swiss SMEs best walk it in small, measurable steps.
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What AI costs: computing power, energy and responsibility
Every request to a language model needs power and computing time. Anyone using AI can factor in efficiency.
Read articleTHE NEXT STEP
Thinkahead?
The next step:
Understand what is possible.