Category: Ai

The Zentrum für Reisemedizin at the University of Zurich is Switzerland’s leading provider of travel medicine. It employs more than 100 clinical and administrative staff. Many are students, work part-time, or split their day between clinical and research roles. That makes staffing and long-term planning especially challenging.

Half of my LinkedIn feed says AI instantly gives you a team of 50 people. And that they’ve just made [fill in a very specific high amount] in [an unbelievably short period of time]. Or that we should prepare for 50% fewer white-collar jobs in 3 years.

Most companies asking “what AI project should we start with?” make the same mistake: they choose projects based on hype, not readiness.

AI is geopolitics. And infrastructure currently moves faster than regulation.

Or: When Does It Actually Make Sense To Implement AI In Your Business

Most AI initiatives in small and mid-size businesses fail within six months. Not because the technology doesn’t work, but because organizations skip the human equation entirely.

When people think of Large Language Models (LLMs) like ChatGPT, they often think of creative text generation. But the real power of AI often lies elsewhere: it handles tedious, data-intensive tasks faster, cheaper, and more accurately than any human.

It’s a running joke at our house that Siri is about as smart as our hamster. With Siri’s newfound understanding of human language, interactions are set to become more intelligible. But while these improvements are nice, the big innovation at Apple’s WWDC24 lies beneath the surface – AI Agents and automation.

A recent survey by Deloitte revealed that 54% of Swiss business leaders believe their tech infrastructure is AI-ready. This level of confidence stands in stark contrast to their counterparts in Germany (37%), the UK (25%), and the global average (40%).