Senior data and AI executives are gathering today at the Grand Hôtel in Stockholm for Chief Data Officer, an exclusive executive forum hosted by TPO33.
Centered around the theme “Building Data Foundations and Platform for Scalable, Sovereign Enterprise AI” with partnership with Cloudera, the curated four-hour forum brings together 33 senior decision-makers to address how enterprises can transition artificial intelligence from isolated experimentation into secure, organization-wide production. As businesses scale AI across mission-critical operations, discussions focus on overcoming data silos, maintaining strict data sovereignty across hybrid environments, and establishing governance frameworks that foster trust without creating vendor lock-in.
Through focused presentations and peer-level roundtable discussions, the forum offers Nordic data leaders a platform to benchmark strategies and exchange practical insights on building AI-ready data architectures.
The Stockholm edition features 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.
- Joel Nygårds, Chief Data Officer & Head of AI, Ericsson.
- Ramakrishna Bhoja Poojari, Head of Data & AI Transformation Office and Strategy, Swedbank.
- Charles Aad, Field CTO, Cloudera.
About the TPO33 Event Series
TPO33 is a specialized, invitation-only executive event format designed specifically for senior decision-makers and practitioners. Organized by Hyperight and limited to 33 participants per session, the compact four-hour format eliminates broad vendor pitches in favor of intensive, topic-specific problem-solving, peer benchmarking, and high-impact roundtable discussions. 
The Stockholm edition is part of an international series of TPO33 executive forums taking place across major enterprise hubs in Europe and the Middle East, including host cities such as Stockholm, Copenhagen, Helsinki, Dubai, and Riyadh. The series brings together domain-specific leaders to collectively address the most pressing data and AI challenges facing modern organizations.
