Every morning, Marc, a man in his fifties from West Flanders, slides open the barn door. It’s quiet. No bellowing animals, no chaos. His fifty dairy cows lie calmly, chewing their cud. But even before he lays eyes on a single animal, Marc already knows which one isn’t quite herself. A notification appears on his smartphone: “Cow 227 – abnormal rumination pattern + elevated temperature.” One tap further reveals: restlessness during the night, reduced movement, heart rate 7% above baseline. Marc doesn’t need more. He knows Cow 227 is on the verge of developing mastitis. In the past, he would have noticed it two days later, when her milk production had already begun to drop. Today, he intervenes before things take a serious turn. Not just because of his experience. But because of artificial intelligence.

On AI, maintenance, and the art of thinking machines In a Siemens factory, a digital agent predicts a failure before anything goes wrong. Using vibration data, temperature shifts, and historical patterns, a part is replaced before it breaks. No downtime, no panic, no loss. Welcome to the world of agentic AI: systems that don’t just measure, but think, learn, and suggest decisions. Siemens’ maintenance agents analyze millions of data points in real time and recommend actions that go beyond reactive fixes. The result? A 25–30% reduction in unplanned downtime, lower costs, and less pressure on technicians and planners. But the real story is not just technical, it’s a mindset shift. AI doesn’t just make production more efficient, it makes it smarter. Human and machine are no longer opposites, but partners. Do you, as a leader, want to understand how AI systems like these can strengthen your strategy? Discover the Masterclass AI & Strategy for Executives with https://www.tias.edu/en/about-tias/profile/jeroen-de-flander at TIAS. In just three days, you’ll learn how AI becomes a lever for better analysis, faster decision-making, and more effective execution, without technical prerequisites, but with maximum impact.

In a dark studio in Berlin, a woman sings together with… herself. Or rather, with a digital version of herself. Holly Herndon, musician and PhD student at Stanford, developed an AI voice model with a team of artists and engineers that can analyze, mimic, and reshape her voice. The AI is called Spawn. It doesn’t just sound like Herndon, it learns to breathe with her, improvise, and respond to human input.

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What does it take from you, your people, and your business to truly create value with AI and data?