As organisations scale AI, they face an increasingly complex regulatory landscape shaped by the EU AI Act, the Data Act, the Data Governance Act, and GDPR. Together, these frameworks are redefining how AI systems are built, how data can be used, and who ultimately holds control. The stakes are rising quickly. Under the EU AI Act, non-compliance with prohibited practices could result in fines of up to €35M or 7% of global annual turnover, making AI governance not just a legal concern, but a critical business risk.
At the same time, these regulations were not designed with fully autonomous, agentic systems in mind. As the EU moves toward greater alignment through initiatives such as the emerging "Omnibus" approach, organisations must prepare for a future where AI regulation, data control, and operational risk converge.
This panel brings together policymakers, standards leaders, and industry practitioners to explore what's coming next and what it means in practice for you.
• Understand how the intersection of AI regulation and data regulation is reshaping how agentic systems are designed and deployed
• Anticipate how frameworks like the EU AI Act will evolve to address autonomy, accountability, and real-time decision-making
• Prepare for new requirements around data ownership, access rights, and controlled data sharing for AI training and execution
• Translate regulatory pressure into practical action across governance, architecture, and operating models before risk becomes exposure
• Discuss evolving CEN standards and what this means for your organisation