Case
Developing AI-driven data management for Stena Line.
Combining the latest in AI, data mining and information architecture means that Knightec Group is now assisting the Stena Line shipping company with a new pilot project for development of a unique data management solution. This solution is paving the way for new digital, sustainable and profitable services at Stena Line.
ClientStena Line
IndustryPublic
ServicesSoftware & Cloud
Originally delivered by Semcon, now part of Knightec Group.
Background
Stena Line is focusing widely on digitisation – throughout all parts of the business. As part of a new pilot project, Knightec Group has been tasked with developing a smart solution for managing all the data required for new digital offerings and additional AI projects for the shipping company going forward.
Challenge
The challenge was to manage and structure large volumes of data spread across multiple systems to enable Stena Line’s digital and AI-driven transformation. To unlock the full potential of AI, the data needed to be connected, accessible, and usable across the organisation, requiring a scalable solution that could integrate diverse data sources and support future digital services.
AI and semantics Merge.
As part of this project, AI teams and experts on semantics and information structures at Knightec Group and Stena Line have joined forces to develop a dynamic and scalable semantic layer. This means that all existing data in all the different systems is linked in a smart, effective way with anyone or anything requiring access – whether it is a human or another advanced AI solution.
Delivered Value
The solution delivers value by creating a scalable and intelligent data foundation that makes information accessible across the organisation. By linking data through a dynamic semantic layer, it enables more efficient operations, supports the development of new digital and AI-driven services, and accelerates innovation. This positions the company to become a fully data-driven and “cognitive” operator, improving both business performance and long-term competitiveness.
