Larus Technologies, in collaboration with the University of Ottawa, is working to develop Maritime Internet of Things (mIoT) technologies to help companies proactively address risks to prevent disruptions to the supply chain. Such disruptions include ones caused by adverse weather conditions, labour strikes and shortages, traffic densities and regional hostilities. The collaboration aims to generate Actionable Intelligence for Decision Support using Big Data analytics to improve both internal and collaborative processes of mIoT-related organizations. Actionable intelligence includes anomalies, alerts, threats, potential response generation and other types of knowledge that help companies make timely decisions regarding the shipping of goods and services when circumstances threaten to delay or disrupt the supply chain.
The Artificial Intelligence (AI) and Machine Learning (ML) solution to the mIoT-based Big Data analytics problem involves four main streams of research and development, including high-level and context-aware information fusion, fog computing, machine-to-machine (M2M) communications and decision support systems. The project is currently being supported by the National Sciences and Engineering Research Council (NSERC) through its Collaborative Research and Development (CRD) Grants program, by the Ontario Centres of Excellence (OCE) through its Voucher for Industry Association (VIA) R&D Challenge and the Southern Ontario Smart Computing for Innovation Platform (SOSCIP).
Read about the project from SOSCIP’s Fast Forward – a collection of high-impact data science stories from across the network.