Two major enterprise hubs became simultaneous points for the future of enterprise AI on November 12, 2026. Hosted by Hyperight AB, the tpo33 executive forum series brought together senior data, analytics, and AI leaders across two parallel four-hour sessions in Stockholm and Dubai.
Stockholm: Sovereign Data Foundations for Enterprise AI
Nordic data and AI executives gathered at the Grand Hôtel to examine how organizations can scale AI across mission-critical operations without compromising regulatory control or architectural flexibility. Discussions centered on hybrid cloud governance, establishing trust, and avoiding vendor lock-in.
The Stockholm edition featured a lineup of prominent data and AI leaders sharing real-world transformation strategies:
- Eva Saidac, Chief Data & Analytics Officer (CDAO) & Head of Group Data, Analytics & AI, Swedbank: Leading Swedbank’s strategic agenda for data, analytics, and responsible AI adoption, Saidac brings extensive leadership experience from previous senior roles at Ericsson, Reuters, and Nasdaq Market Technology.
- Joel Nygårds, Chief Data Officer & Head of AI, Ericsson: Heading Ericsson’s enterprise-wide data and AI transformation, Nygårds focuses on scaling secure, contextual AI and driving data literacy across global operations.
- Ramakrishna Bhoja Poojari, Head of Data & AI Transformation Office and Strategy, Swedbank: Responsible for leading enterprise data transformation, AI usage tracking, and governance culture at Swedbank
- Charles Aad, Field CTO, Cloudera: Bringing two decades of international experience across data, multi-cloud, and enterprise AI in the EMEA region, Aad advises global organizations on building sovereign, production-ready data foundations across hybrid cloud environments.
Interactive Roundtable Discussions & Summary Panel
Following each keynote, participants broke into three rotating executive roundtables. They were moderated respectively by the Swedbank leadership team (Eva Saidac & Ramakrishna Bhoja Poojari), Charles Aad (Cloudera), and Joel Nygårds (Ericsson) ensuring every attendee engaged directly with all speakers before reconvening for a closing Summary Panel.
Dubai: Operationalizing AI & Intelligent Automation
Middle Eastern digital transformation, data, and AI leaders met at Neera Dubai to tackle the transition from isolated AI experimentation to production-ready autonomous systems. Roundtables focused on balancing regulatory compliance with innovation, orchestrating human-machine collaboration, and tying automation directly to business value.
The Dubai edition featured three prominent industry practitioners leading keynotes and moderating executive roundtables: 
- Ali Khalid, Head of Data, World’s Leading Airline: Presenting “From AI Ambition to Enterprise Impact: Building the Foundations for Scalable, Responsible AI,” Khalid brings nearly two decades of IT and analytics leadership, specializing in DataOps, Agile practices, and enterprise data quality.
- Paul Marshall, VP MEA, SS&C Blue Prism: Delivering the keynote “How can strategic enterprise orchestration provide the critical link in leveraging AI across the enterprise?”, Marshall draws on over 20 years of experience delivering enterprise software and managed services across EMEA, particularly within banking, financial services, healthcare, and government sectors.
- Sergii Sokoliuk, Insights & Analytics Lead, International Region, Philips: Speaking on “The Work We Haven’t Imagined Yet: Why automating today’s work won’t unlock AI’s potential,” Sokoliuk focuses on market intelligence, go-to-market strategy, and scaling AI productivity from individual workflows to enterprise-wide decision-making.
Interactive Roundtable Discussions & Summary Panel
Mirroring the collaborative tpo33 structure, each keynote was followed by three rotating roundtable sessions moderated by Ali Khalid, Paul Marshall, and Sergii Sokoliuk, allowing every leader to benchmark strategies across every topic before wrapping up with a joint Summary Panel.
Shared Takeaways Across Both Hubs
Rather than treating compliance and sovereignty as roadblocks, leaders in both Stockholm and Dubai framed strong governance frameworks as the prerequisite for scaling AI safely and sustainably.
Both regions emphasized that the primary bottleneck for enterprise AI is no longer model experimentation, but building the underlying governance, orchestration, and data infrastructure required for organization-wide deployment.
