"Where we are moving towards is more transactional. It's not just about consuming. It's not about question answering. It's all about also to be able to perform tasks."
"AI's biggest advantage is its flexibility -- and the way a human can interface with it."
"A solid data foundation was not essential for early AI prototypes and pilots. But it is critical for scaling AI across the enterprise."
"We might spend a lot of time trying to define a role that will change within a month."
„Data Governance war lange ein Hindernis. Jetzt ist es plötzlich ein Enabler, ein Faktor, der ermöglicht."
"In 80 percent of cases, you need to stay in the field of classical software architecture and classical machine learning. It's too sexy to go to GenAI, but it's rather easy to make this mistake and to build a rather unstable system."
"You need to have both the bottom-up experimentation to learn what's possible, and the top-down business view from executive level -- what do we want to do now and in the future?"
"Balanced Scorecards für AI müssen nicht konzernweit sein. Warum? Weil jede Abteilung mit AI eine andere Art von Wert erzeugen möchte und wird."
"Data is really the foundation for everything you do in AI and analytics. People are focusing a lot on the use cases, the AI agents, and so on -- but rolling out these solutions at scale is only possible if you have a proper data ecosystem."
"It's a special crowd. Whoever makes the way to Davos, has some reason to be there."