Building Trusted AI: Fixing the Information Mess Before AI Amplifies It
AI is only as reliable as the information it works with.
Before organizations can build trusted AI systems, they need to address the quality, structure, and reliability of their underlying information.
Join Marie Felsbourg, Founder & CEO of KeyDocs, for a practical conversation on building trustworthy AI by getting the information foundations right. We'll explore how organizations can improve information quality, reduce risks, and prepare their knowledge for more effective AI adoption.
What You'll Explore:
- Information quality: Why reliable AI starts with accurate, structured, and trustworthy information.
- Knowledge foundations: How to prepare organizational information for effective AI adoption.
- Risk and reliability: The challenges of working with incomplete, inconsistent, or outdated information.
- Practical readiness: What organizations can do to strengthen their information foundations before scaling AI.
About Marie
Marie Felsbourg Founder & CEO, KeyDocs
Her work focuses on the importance of information foundations in enabling organizations to build trustworthy AI systems. In this session, Marie will bring a practical perspective on improving information quality, managing risk, and preparing organizational knowledge for AI adoption.
Who Should Attend?
This session is especially relevant for:
- Business leaders and executives responsible for AI strategy, adoption, and organizational transformation.
- AI and digital transformation leaders working to implement reliable AI solutions across their organizations.
- Knowledge and information management professionals responsible for organizing and maintaining business-critical information.
- IT, data, and governance professionals focused on information quality, risk management, and trustworthy AI.
- Anyone exploring enterprise AI who wants to understand why strong information foundations matter as much as the technology itself.
Thursday, December 10 2026
8:00 AM UK / 9:00 AM CET / 3:00 AM ET / 12:00 AM PT
Because building trustworthy AI doesn't start with choosing the right model. It starts with making sure your information can be trusted.