Category: Blog

At Posidonia Events 2026, Metis CEO Panos Theodossopoulos participated in Bureau Veritas Marine & Offshore’s seminar, joining industry leaders for the panel discussion “From compliance to performance: How digitalization in Class is reshaping shipping.”

A key theme of the panel was the shift from compliance-driven processes to a more proactive, performance-oriented model. Rather than treating compliance as an endpoint, the discussion highlighted how data, digital tools, and emerging technologies are enabling continuous visibility into asset condition and operational health.

Panellists discussed how improved data accessibility and advanced analytics are helping stakeholders move towards more informed decision-making, supporting better risk management, enhanced efficiency, and stronger overall vessel performance.

Metis CEO Panos Theodossopoulos contributed perspectives on the role of data and artificial intelligence in enabling this shift, emphasising the importance of transforming operational information into actionable insights that support more informed and proactive decision-making processes.

Metis would like to thank Bureau Veritas Marine & Offshore for organising this engaging discussion, as well as all fellow panellists for their valuable insights and contributions to the dialogue.

Panos Theodossopoulos, CEO of Metis, participated as a panellist in the Imperial College London seminar, “Maritime Innovation Outlook: Resilience and Future Readiness” at Posidonia 2026, contributing to a discussion on the future of maritime decision-making in an increasingly complex operating environment.

Bringing together industry leaders and subject matter experts, the seminar explored the challenges and opportunities shaping the maritime sector as it navigates decarbonisation, digital transformation, regulatory change, and growing operational complexity. A key theme of the discussion was how organisations can make confident, informed decisions while balancing innovation, risk, and practical execution.

During the panel, Mr. Theodossopoulos shared perspectives on the role of technology, data, and artificial intelligence in enabling more effective decision-making processes. The discussion highlighted the growing importance of advanced analytics and digital tools in transforming operational information into actionable insights, supporting improved performance, stronger resilience, and greater adaptability across the industry.

The seminar provided a valuable platform for knowledge exchange and constructive dialogue, reinforcing the importance of collaboration between industry stakeholders

A key focus of Metis‘s -part of the ERMA TECH GROUP– presence at Posidonia 2026 was demonstrating how advanced analytics and artificial intelligence can enhance fleet performance while enabling faster, more informed, and higher-impact decision-making. Through live platform demonstrations and discussions with visitors, the company showcased how complex operational data can be transformed into actionable insights that drive performance optimisation, efficiency gains, and cost savings.

Throughout the exhibition, Metis engaged with shipowners, operators, technical managers, and maritime professionals from across the global shipping industry, presenting its vision for AI-powered decision making. The event provided valuable opportunities to strengthen existing relationships, establish new connections, and explore how digital technologies can help fleets improve performance and navigate increasingly complex operational demands.

The exhibition also served as a platform for meaningful discussions on the future of maritime digitalisation, highlighting the growing importance of intelligent decision support, contextual analytics, and technologies capable of delivering measurable business value.

Metis’s participation at Posidonia 2026 reinforced its commitment to advancing the maritime industry’s digital transformation through innovative solutions that empower organisations to operate more effectively, make better and faster decisions, and unlock greater value from their data.