This session explored how organisations can deliver value at scale by harnessing both agentic and generative frameworks. Panellists emphasised the importance of aligning maintenance, cyber security, and operations through shared responsibility models, ensuring resilience across critical systems while preparing for complex challenges such as emergency response and energy market risks.
The conversation also focused on the role of collaboration in accelerating AI adoption. By fostering partnerships between industry and academia, and by embedding a culture of openness, organisations can overcome barriers such as data immaturity and develop more effective data strategies. Co-innovation was highlighted as a powerful tool to ensure AI solutions are not just implemented, but scaled sustainably.
Finally, the panel addressed the potential pitfalls of AI, from issues of trust and transparency to the need for robust verification and strong human oversight. The discussion underscored that unlocking AI’s potential requires not only technical innovation but also careful governance and a commitment to responsible adoption across the sector.
Speakers
- Thorsten Loehl, VP, Science & Engineering, Innovation, Borealis Susan Burrell
- Matthias Boelke, Chairman, IDTA
- Rei Yasumuro, Global Head of Digital & Analytics, MODEC
Moderator
