Computer based training company Seagull reports that it has collaborated with DNV GL to implement the classification society’s e-learning modules on cyber security into the Seagull training system.
DNV GL is launching a new industry data platform called ‘Veracity’, being built in collaboration with Microsoft Azure and other companies, which is designed to help improve data quality and management, and facilitate connections between data owners and users.
The Maritime and Port Authority of Singapore (MPA) has extended its research and development memorandum of understanding (MOU) with DNV GL to include collaboration in autonomous systems and intelligent shipping.
DNV GL has published a new Recommended Practice (RP) document on ‘Cyber Security Resilience Management’, which it says should help shipping companies identify and address potential cyber hazards.
Dubai Maritime City Authority (DMCA) has signed an agreement with DNV GL to collaborate on a range of maritime innovation initiatives to bolster the Dubai maritime sector’s technological capacity, in areas such as smart shipping, digitalisation, Big Data and real time information management.
DNV GL has added new analytical and reporting features to its fleet performance management system ECO Insight, with the aim of supporting shipowners in managing a greater volume of vessel data on a more frequent basis.
DNV GL and Tekomar have entered into a partnership agreement to improve data exchange and integration between Tekomar’s XPERT engine performance system and DNV GL’s ECO Insight performance management portal.
DNV GL has published a Recommended Practice (RP) on ‘Cyber Security Resilience Management’, developed in cooperation with customers to provide guidance on risk assessment, general improvements to cyber security, and the verification of security improvements and management systems.
Mont Hope Ship Management, a new company focusing on servicing vessels engaged in the energy sector, is to implement DNV GL’s ShipManager integrated software system across its entire fleet.
Engine manufacturer MaK and Caterpillar’s Marine Asset Intelligence organisation have partnered with DNV GL to normalise the predictive analytics of Cat Asset Intelligence systems in accordance with DNV GL’s Survey Arrangement Machinery Condition Monitoring (CM) requirements, to move away from time based maintenance to condition based maintenance.
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