Workshop: Adaptive content modelling for omnichannel delivery – January 30, 2019
One of today’s most daunting content delivery challenges is adapting your message for personalised, even context-specific distribution, on a diverse array of target devices and channels. This session will teach a proven methodology to analyse, enrich and structure your content to help authors create omnichannel, personalisation and automation-ready content. Content modelling is the backbone of an omnichannel content strategy. This session will show you how it’s done, and connect the dots between personalisation, semantic content, content reuse, responsive design, omnichannel and multichannel delivery and user experience. Single-source, omnichannel content – also known as “Single source of truth” or “CODA (create once, deliver anywhere)” content – is no longer a pipe dream, it’s an imperative. Companies of all sizes are looking for content that can be personalised and then delivered to the browser, available for reuse, and accessible in apps, kiosks, responsive mobile deliverables, eBooks and syndication services to our partners – even in wearable technologies. All this should improve the experience of users, and of course, benefit the organisations that serve them. Adaptive content unifies all these concepts and makes such a paradigm possible. This practical session will show you why you want and need to have adaptive content structures to optimise user experience today. Its hands-on introductory exercises will help you model your own content in a future-proof way.
What you’ll learn
- An immediately applicable understanding of structured, semantic content that will make you a better manager, writer, content strategist, or UX designer
- A clear run-down of the concrete business benefits of adaptive content and omnichannel content
- A visual and conceptual language with which to align user experience designers and content creators
- A simple overview of the systems architectures used by enterprise to optimise their content for omnichannel