Many of the models we design for our clients are, in essence, digital twins of their systems. A Digital Twin refers to a digital replica of potential and actual
physical assets, processes, people, places, systems and devices. They can be used to drive your strategy and planning, and as a key tool to inform your
Digital Twin and Internet of Things (IoT) applications bring together data from disparate information sources, including sensors that may potentially need to conform to a range of different data or interface standards. You need to ensure
that your Digital Twin is underpinned by a strong semantic model – which recognises and is able to assign meaning to comparable data from different
sources – to ensure interoperability between the sources of its data. This enables all participants in the system to share the same understanding of the meaning of the information and data being exchanged.
We also offer an ontology development service, which prepares and transforms your data for use in semantic graph databases. These, in turn, can support your artificial intelligence (AI) and machine learning applications; and advanced analytics, including inference, hypothesis generation and prediction. Through these services, we help you take advantage of semantic technologies and develop
Digital Twins of your assets, process and systems.
As digital systems become more connected through the IoT and linked data technologies, and as the power of AI and machine learning increases, the
challenge of keeping your information and business secure grows.