Data Culture Podcast

“Die Zunahme von Hybrid-Cloud- und On-Premises-Strategien ist kein Rückschritt – es ist intelligentes Datenmanagement.“

“The problem is not the technology. The technology is here. It’s more the change management of the users.”

“Everybody wants to have the numbers from other areas, but nobody really wants to share their own numbers.”

"Right now, AI seems like the wild, wild West – and I would recommend to show a little conservative decision making before you run off and do wild things with AI."

"The real challenge is not to use always the newest model, but to be able to put it into production and get results out of it."

"Sometimes I understand that we should find time for playing with data and building something not to solve a problem or achieve KPI, but just for fun."

“The pinnacle is the trust that you build with the stakeholders and the data consumers. And you can lose it very easily.”

“If you can prove value with a live prototype, selling the business case becomes much easier.”

“For us, a data marketplace was like a key turning point because it gives transparency what data assets are already there.”

“We’re not only asking whether using AI is legally allowed – we’re also asking whether it’s the right thing to do ethically and socially.”

„Es hat sich als Erfolgsfaktor herauskristallisiert: Wenn ich Erfolg beim Thema Datenkultur haben will, muss ich das Mittelmanagement irgendwie mitkriegen.“

„Eins wollen wir nicht: Dass es am Ende heißt, weil die KI falsch beraten hat, sind vielleicht 10 % der Kundengelder weg – und die sind unwiederbringlich verloren.“

"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."

„Mit der Datenstrategie haben wir erkannt, dass die Nutzung von Daten als strategische Ressource einer der großen Game Changer ist.“

"The definition of insanity is repeating the same thing over and over and expecting a different result every time. That's a little bit how metadata management is often performed in companies."