In this paper we provide a foundation for a new generation of services and tools. We define new ways of capturing, sharing and reusing information and intelligence provided by single users and communities, as well as organizations by enabling the extraction, generation, interpretation and management of Collective Intelligence from user generated digital multimedia content. Different layers of intelligence will be generated, which together constitute the notion of Collective Intelligence. The latter emerges from the collaboration and competition among many individuals and forms an intelligence that seemingly has a mind of its own. The automatic generation of Collective Intelligence constitutes a departure from traditional methods for information sharing, since information from both the multimedia content and social aspects will be merged, while at the same time the social dynamics will be taken into account. In the context of this work, we shall present two case studies. Initially, an Emergency Response case study will be tackled, where users provide intelligence about large scale emergencies, empowering a more effective and informed emergency action and at the same time receive information on how to act. A Consumers Social Group case study will follow, providing enhanced publishing tools to support group activities (e.g. organization of team events) and the ability to extract meta-information from content sources and group discussions. Both Use Cases denote the important effect of Collective Intelligence as well as its leverage for private, commercial and public purposes.