"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."
"Always start from the end. Forget AI technology for a short while and just imagine how the end result would look like and how you would measure it. Then work backwards from there."
„Ich kann jetzt keine Datenkultur aufbauen, die der Unternehmenskultur entgegenwirkt.“
"I always say, you can't learn how to swim if you don't jump into the water. And it's so important for people to be able to jump into the water and to really test it out."
1/19
Nächste Seite >