Coping with large amounts of structured and unstructured data from inside and outside sources requires specialized solutions and tools to amplify small signals detected in the data and bring it into the respective business context. The Dydon semantic web service uses artificial intelligence techniques to build and continuously enhance a highly specialised ontology (knowledge representation) covering the key elements of the financial industry, risk management and compliance. Such knowledge representations are used to extract bespoke web information, can be customised and are constantly broadened using machine learning algorithms. Gained results are presented in convincing reports /graphs/charts and used to look ahead using predictive analytics tools. Data is assessed and rated for relevance using methods such as semantic analysis and machine learning with the goal to provide on the spot (or as an alarm) the relevant information for a specific topic.