Søren Krohn

With rapid tech advances, governance and operating models often lag behind. Balancing speed and control is tough, especially as governance approaches blur across organizations. Join us for a practical discussion — share your experiences, challenges and ideas on AI and data governance. We'll explore insights, trade-offs and create tools like action lists and risk maps. All participants should actively engage, sharing experiences, questions and ideas.

As AI becomes central to business strategy, defining ownership grows more complex and crucial. With responsibilities spread across teams and leaders, confusion and tension can threaten AI project success. Join this interactive discussion to share what works (and what doesn’t) in assigning AI roles. Through active participation, we'll examine approaches, weigh pros and cons, and develop practical steps—like RACI charts and ownership models. To help us kickstart an engaging discussion, please reflect on the questions below before the session. Your insights will shape our conversation, and you’ll receive a customized resource afterward to support your continued success. 1. Why is this so hard? What do you think is at the heart of this challenge? 2. In what ways are the division of AI roles and responsibilities in your organization working well? 3. What would you like to learn from others?