Maritime Jobs
Wednesday, August 21, 2019

Machine Learning News

Terry Makewell  (Photo: UKHO)

UK Hydrographic Office Appoints Makewell CTO

and gained an MBA (Entrepreneurship) in 2006.   One of Makewell's first engagements at the UKHO was to support its data science experts who presented at the Government Digital Service’s ‘Sprint 18’ conference on May 10th. Here they demonstrated how the UKHO is using machine learning to exploit satellite imagery in order to help protect the marine environment and promote global maritime trade.  

Dr. Jeremy Dillon (Photo: Kraken)

Kraken Appoints Dillon as Chief Scientist

profiler that is used for measuring turbulence and sediment transport in the ocean bottom boundary layer.Dr. Dillon continues to have strong interests in acoustics, synthetic aperture imaging, GPU-accelerated computing, underwater navigation and vehicle control systems. His upcoming work will apply machine learning to further improve seabed imagery and to automatically recognize targets and other objects of interest on the seabed

Transas Collaborative Decision Making Platform uniting Ship, Fleet Operations, Training and Ship Traffic Control Image Transas

Wärtsilä acquires Transas

marine navigation solutions that include complete bridge systems, digital solutions and electronic charts. The company is also a leader in professional training and simulation services, ship traffic control, as well as monitoring, and decision-support tools. Transas leverages the latest advances in machine learning to create a unified cloud-based platform for managing operations across the entire marine ecosystem.  The company has 22 regional offices worldwide and a distribution network that spans 120 countries. Its workforce of approximately 1000 employees includes a large and competent team of

The Kognifai digital platform is a set of tools built on modern Cloud technology providing access to KONGSBERG and third-party simulation solutions. (Image: Kongsberg)

Maritime's Digital Transformation & Simulation-based Training

level, the advantage of Kognifai is in having access to diverse applications on a single platform: this has the added benefit of enabling data sharing between diverse systems.As anexample, KONGSBERG’s EmPower conditionmonitoring system combines information from sensors on a wind farm with a machine-learning algorithm that can predict a turbine failure up to ten months in advance. By adding this algorithm to Kognifai, we were able to provide the same service for our maritime customers that wanted to move from calendar-based maintenance to predictive maintenance on their rotating machinery:

Frank Ketelaars (Photo: DNV GL)

Ketelaars Takes the Lead for DNV GL - Oil & Gas in the Americas

will also continue to be repurposed due to shifts in where gas is produced and consumed,” said Ketelaars.   “Leading gas transmission system operators will progressively incorporate advances in artificial intelligence, augmented reality, the industrial Internet of Things and machine learning into systems and processes. This will assist them in operating networks safely and cost-efficiently, and in providing customers, regulators and partners with tailored analyses of large volumes of data,” Ketelaars added.   About Frank Ketelaars Ketelaars brings a wealth of relevant

Elisabeth Heggelund Tørstad (Photo: DNV GL)

DNV GL Creates Digital Solutions Organization

DNV GL announced it is creating a specialized Digital Solutions organization that will set out to capture the opportunities that lie in data sharing, advanced analytics, automation, and machine learning as well as addressing challenges related to data quality and security.   Elisabeth Heggelund Tørstad will leave her post as CEO for DNV GL’s Oil & Gas business to head the new Digital Solutions business, which will consist of 1,000 digital experts. She will be based at DNV GL headquarters in Høvik, Norway as a member of the Executive Committee for the DNV GL Group.  

Transas CEO Frank Coles. (Photo: Transas)

Transas CEO Honored

goals, Coles has striven to communicate the importance of embracing digitalization and new business models. His passion for modernizing the industry is reflected both in his influential media presence and in the pioneering solutions Transas is bringing to the marketplace that include the use of machine learning as a waypoint in the voyage towards autonomous ships.   A visionary thinker, his statements draw upon this unrivalled breadth of experience, allowing him to adopt a laser focus on the big questions few dare to tackle. His observations often challenge the status quo and consistently provoke

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