A BigDataStack Seafarer’s tale of Real-Time Shipping
18 June 2020 - 18 June 2020
Brussels, Belgium
Hosted by BDV PPP. BigDataStack, I-BiDaaS, Track & Know and Policy Cloud join forces in a series of online demonstrations of innovative Big Data Technologies unlocking the potential of various applications.
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days the projects will showcase the developed and implemented technologies to interested end-users from industry as well as technology providers, for further adoption.
A BigDataStack Seafarer’s tale of Real-Time Shipping
A Seafarer's vessel has to complete its route within a specific time-frame. When a part of the main engine fails unexpectedly, the ship risks staying off-hire. This can be very damaging to a shipping company, as chartering revenues decrease, while replacing a spare part immediately increases cost. The seafarer needs identification of potential failure to allow timely ordering, or even replacement of spare parts before failure.
Webinar takeaways
The BigDataStack Seafarer tale tells the story of the Real Time Ship Management (RSM) use case led by Danaos Corporation, one of the largest independent owners of modern, large-size containerships. The pilot exploits the BigDataStack environment with an emphasis on the data as a service offering for big data management, its analytics and methods for scheduling of orders, preventive maintenance, visualization of the current state and final results.
Who should attend?
Shipping and transport industry, cloud providers, data owners, data engineers, data scientists
Register to join us on 18 June at 14.00 - 15.00 CEST: https://us02web.zoom.us/webinar/register/WN_gl_wPGlXSn6RecQ-OnjrMg
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days the projects will showcase the developed and implemented technologies to interested end-users from industry as well as technology providers, for further adoption.
A BigDataStack Seafarer’s tale of Real-Time Shipping
A Seafarer's vessel has to complete its route within a specific time-frame. When a part of the main engine fails unexpectedly, the ship risks staying off-hire. This can be very damaging to a shipping company, as chartering revenues decrease, while replacing a spare part immediately increases cost. The seafarer needs identification of potential failure to allow timely ordering, or even replacement of spare parts before failure.
Webinar takeaways
The BigDataStack Seafarer tale tells the story of the Real Time Ship Management (RSM) use case led by Danaos Corporation, one of the largest independent owners of modern, large-size containerships. The pilot exploits the BigDataStack environment with an emphasis on the data as a service offering for big data management, its analytics and methods for scheduling of orders, preventive maintenance, visualization of the current state and final results.
Who should attend?
Shipping and transport industry, cloud providers, data owners, data engineers, data scientists
Register to join us on 18 June at 14.00 - 15.00 CEST: https://us02web.zoom.us/webinar/register/WN_gl_wPGlXSn6RecQ-OnjrMg
Keywords
BigData, Ship Management, Online Demo, technology demonstration