Navigating the Waves of Data: A Machine Learning Odyssey in Maritime.

• Sponsored by ZeroNorth.

Whether data scientist, data engineer, devops, developer, a student with an interest in MLOps, or a real, live MLOps engineer this is for you.

ZeroNorth is a 2020 spin-out from Maersk focused on fuel for maritime vessels. Both helping shipping companies reduce fuel consumption and CO2 emissions by choosing better routes and maintaining their fleets and helping fuel market operators track inventories and prices. Finally, they help compose reports for environmental and regulatory compliance.

Lloyd’s Register (LR) is a global professional services group specialising in marine engineering and technology. Created more than 260 years ago as the world’s first marine classification society, we are a leading provider of classification and compliance services to the marine and offshore industries. We also provide advice, support and solutions on fleet performance and optimisation, voyage optimisation, enhancing our clients’ digital capability. Our digital solutions are relied upon by more than 20,000 vessels.

We plan to stream the meetup here: meet.google.com/haq-qpsc-bwm
(Requires a Google account)

The program:
17.00 Arrival, snacks, refreshments
17.20 Pizza
18:00 Welcome
18:05 Talk 1: Asger Schliemann Haug, Systems Engineering Specialist at Lloyd’s Register - An example of how to safely implement regression models giving inputs to operations research algorithms, by leveraging the maritime industries own syntax and approach to goal based assurance.
18.40 short break
18.50 Talk 2: Stephen O’Kennedy, Senior Data Engineer at ZeroNorth - Getting ML models into Production: A deep dive into Zeronorth’s setup
19.25 Community announcements. Close.
19.30 Mingling, and goodbye
20.00 Doors closed

ZeroNorth is hosting the event at Amagerfælledvej 106, 2300 København

Car parking: Your simplest option is probably DR Byen parking. But there is also a parking garage attached.
Public transport: DR Byen is the closest metro stop. With regard to buses nr. 33 is the closest but metro is easier.