Learning at large-scale. That’s the work Declara is undertaking with its CognitiveGraph platform that leverages semantic search, social platforms and predictive analytics to build context-specific learning pathways for the individuals involved in mass learning efforts. Think, for example, of teachers in a country working to re-educate all its educators, or retail and manufacturing workers in parts of the world who need new skill sets because machines have taken on the work these people used to do.
Adults don’t have the luxury of just being focused on learning, so “we try to help them learn more effectively and quickly, using the CognitiveGraph as a way of knowing where to start from and how to get them to positive outcomes faster,” says co-founder and CEO Ramona Pierson. Its intelligent learning platform will determine what mentors and information exist within a closed private network or on the Web relative to supporting a user’s learning needs; what of all that will be the best fit for a particular user; and then match that learner to the best pathway to acquire the new skills. Among the technologies Declara is leveraging is Elasticsearch (which the Semantic Web Blog discussed most recently here) realtime search and analytics capabilities to turn data into insights.