Log-hub at the AI+X Summit in Zurich: Turning Hype into Real Value

Zurich recently hosted an engaging AI+X Summit, bringing together leaders, innovators, and practitioners to explore the role of artificial intelligence in transforming businesses. Log-hub’s Chief Data & Analytics Officer, Sandro Brändle, attended the event to exchange insights and reflect on how organizations of all sizes can realistically approach AI adoption.

“From small startups to global enterprises, the message was clear: AI has already become a driver of efficiency,” Sandro said. But efficiency is not easy to measure. Companies are asking themselves: what does efficiency really mean in my context, and how do I track the value AI brings?

One of the biggest questions raised at the summit was how to get started. With a marketplace crowded with tools, frameworks, and solutions, many companies are wondering whether to build on their existing IT environments or invest in entirely new solutions. Both paths have advantages, but as Sandro emphasized, “There’s no one-size-fits-all solution. What matters is making deliberate choices based on your goals, your current capabilities, and your long-term strategy.”

That decision-making process is further complicated by the fact that what looks easy in a demo often takes a lot of work and fine-tuning to deliver in practice. Behind the scenes, significant investments are required to make these solutions work. “Nothing is for free,” Sandro explained. “The easier a solution looks on the surface, the more effort has gone into simplifying it behind the scenes. That’s why it’s vital to balance the enthusiasm for innovation with a realistic view of investment costs and payback potential.”

The summit also underscored that AI is not only about machines and data, but also about people. As organizations integrate AI, employee engagement and enablement are critical. We can’t expect everyone to embrace AI right away. Employees need to be guided step by step and shown how these tools can support their work. Otherwise, adoption will remain superficial. This connects to the perspective we noted in our recent article, “Why AI Alone Won’t Save Supply Chains”, where we pointed out that without human expertise and buy-in, even the most advanced solutions cannot deliver their full value.

Perhaps the most valuable takeaway from the summit was the reminder that AI is not a sprint, but a journey. Organizations don’t need to build the perfect solution from day one. Instead, they should be open, experiment, and learn as they go. “Like anything in life, AI is a learning path,” Sandro concluded. “Take small steps, test ideas, gather feedback, and gradually build toward solutions that bring real value.”

For Log-hub, the summit reinforced the importance of its mission: helping customers turn the complexity of supply chains into actionable, data-driven solutions. By combining deep expertise with a pragmatic approach, Log-hub continues to integrate AI into its solutions, ensuring that new technologies translate into measurable results.