The Holy Grail: True Autonomous Interoperability. How? Digital Twins with Semantics and Decentralisation

Data & AI

There’s enough data locked in systems already and new data being produced to answer any question we may need to ask. Enabling humans to benefit from insights derived from data with-in and with-out the enterprise, in an efficient, secure and sustainable manner, not only makes a good business case but also a moral obligation. 

For the unlocking to happen, real assets and data must be FAIR (findable, accessible, interoperable and reusable) so that secure and autonomous machine-to-machine interoperability can liberate humans from the mundane task of sifting data and integrating systems.

Digital Twins are an effective solution to achieve FAIRness, because they can virtualise any type of data sources (IoT devices, databases) or structure (streams, data sets) via semantic modelling and by implementing logic based on the semantics of the data.

Digital Twins enable secure and autonomous interoperability in an agile, data-centric approach and can overcome the idiosyncrasies of API point-to-point integrations. Twins also form an asset-focussed view of the state of the real world by exposing data and metadata understandable by machines and humans alike.

We will demo twins of services and trains interoperating with twins of algorithms linking the physical rolling-stock to a service and detecting when the service deviates from its planned route. Any deviations have expensive, knock-on effects on overnight maintenance planning. The system is written in Java and uses IOTICSpace gRPC API.

Mark Wharton


Mark Wharton has been in the industry since 1983, he's seen trends come and go but noted that some things have always remained a challenge. After being in Mainframe Applications, GSM Mobile Stacks and MVNOs as a developer, consultant and trainer, he's now focussing his attention on the problem of cross-enterprise interoperability via the medium of digital twins and semantic web. He's the co-founder and co-inventor of IOTICS and named on their seven patents.

fabrizio cannizzo


I am Chief Architect at IOTICS, where I help building and evangelising IOTICS' Digital Twins decentralised platform. I'm interested in all software tech and in particular data architectures, decentralised and distributed systems and new approaches to digital transformation. I am a software engineer at heart, with over 20 years of experience building software systems, in Java/Kotlin/Golang, for small, medium and large enterprises in the financial and telco markets.

I believe in agile software development practices (it the broader sense) and I have published and spoken at Agile conferences about my experience in the past.