Trusted Knowledge
Exploring and maximizing the potential contained in information assets
By leveraging ontologies, it is possible to organize and structure the corporate knowledge base, facilitating information management, data retrieval and knowledge sharing within the organisation. Common vocabulary supports interoperability between systems, enabling efficient information exchange across platforms. In addition, through the use of ontologies, the accuracy of analysis and decision-making can be improved by making data explicit in an unique and shared way.
Trusted Knowledge enables AI to create clear and complete representations of information, improve operational efficiency and reduce the risk associated with data management. Furthermore, through an automatic reasoning system, it allows access to data in physical sources via ontology queries, automatically verifies data consistency and explores the ontology graphically and textually.
Our technology harnesses the power of enterprise Knowledge Graphs and AI to quickly and easily explore data, enabling rapid access to the most up-to-date information. Business analysts can then quickly reconstruct the flow from the original data sources to their business queries. In addition, it allows them to automatically check the consistency of the data against the data quality rules expressed in the ontology.
Technological modules
AIW MASTRO
OBDM engine that enables access to data in physical sources via ontology queries and is able to automatically verify the consistency of the data against the data quality rules expressed in the ontology
AIW MONOLITH
Platform that harnesses the power of Enterprise Knowledge Graphs and AI to quickly and easily explore data that can be easily mapped, allowing quick access to more up-to-date information. Business analysts can then quickly reconstruct the flow from the original data sources to their business queries