A 2025 MIT report highlights that 95% of AI pilots have failed. The data landscape in industrial asset management is growing not only in volume, but also in complexity. At the same time, expectations for data to be Findable, Accessible, Interoperable, and Reusable (FAIR) are rising rapidly.

The lesson here is clear. For future Enterprise AI to be successful, we need to find practical ways to manage an increasingly inconsistent and fragmented data landscape.

In this talk we discuss the role of Linked Data in the future of industrial asset management. We explore how the existing Semantic Web framework, including the Resource Description framework (RDF), underpins successful enterprise AI and give practical guidance to Linked Data implementation in industry.

• The 2025 Data Landscape in Industrial Assert Management
• An introduction to Linked Data and the Semantic Web framework
• The role of Linked Data in future enterprise AI with industry examples
• Practical guidance and first steps for organisations implementing a Linked Data strategy