Data analysis using AI methods

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.