Content as Linked Data: A semantic approach for unified digital experiences

With the increasing pace of digital transformation, content management faces complex challenges in delivering relevant, personalized experiences across multiple channels. Content-as-a-Service (CaaS) has effectively addressed some of these challenges, such as the separation of content and presentation. However, it now reaches its limits in addressing the growing complexity of data integration and semantic interoperability. As organizations encounter increasingly diverse and interconnected data sources, the need for advanced data structuring and linking becomes evident. This presentation explores Content-as-Linked-Data (CaLD), a paradigm that extends CaaS by employing declarative and semantic principles. CaLD leverages technologies like RDF and SPARQL to enhance content meaning, cross-domain connectivity, and usability across platforms, unlocking digital relevance and seamless omnichannel orchestration at scale. By aligning with the Semantic Web's principles, CaLD offers significant benefits for diverse stakeholders. These benefits include more targeted content delivery for marketers, easier maintenance of modular, reusable components for developers, and leveraging external datasets to enrich proprietary knowledge, leading to better decision-making and strategic insights for executives.